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Daily edition

The daily ledger

TILens turns technical updates into a focused daily brief: official releases, trusted reporting, and practitioner analysis, deduplicated and organized by topic.

14 Aug 2026 edition
Python AI Django

Don't classify. Hallucinate!

Don't classify. Hallucinate! I still have quite a bit of older content on my blog that I never got round to tagging. My blog has 1,856 tags - likely too many to feed to an LLM in one go and say "which of these tags…

Source: Simon Willison's Weblog
AWS

Amazon Quick now supports per-user resource limits

Amazon Quick now enables administrators to set per-user limits on index storage and agent hours, giving them direct control over subscription costs. With limits management, administrators can create limit profiles that…

Source: AWS What's New aws@amazon.com
AWS

Amazon Quick now supports approval policies for sharing

Amazon Quick now offers approval policies, giving administrators governance controls over how assets are shared within their organization. With approval policies, administrators can require designated approvers to…

Source: AWS What's New aws@amazon.com
Python GitHub

astral-sh/uv: 0.12.5

Release Notes Released on 2026-08-14. Python Add CPython 3.10.21, 3.11.16, and 3.12.14 (#21138) Prefer newer versions and standard variants when selecting between equally prioritized Python interpreters (#21134)…

Source: uv Releases astral-automations-bot[bot]
AI Tools GitHub AI

langchain-ai/langchain: langchain-openrouter==0.2.8

Changes since langchain-openrouter==0.2.7 release(openrouter): 0.2.8 (#39658) chore(model-profiles): refresh model profile data (#39646) chore(model-profiles): refresh model profile data (#39625) fix(openrouter):…

Source: LangChain Releases github-actions[bot]
AI Tools GitHub AI

langchain-ai/langchain: langchain-core==1.5.5

Changes since langchain-core==1.5.4 release(core): 1.5.5 (#39655) fix(core): make abatch_iterate consistent with batch_iterate for None and zero size (#39367) fix(core): respect pydantic aliases when validating tool…

Source: LangChain Releases github-actions[bot]
AWS GitHub

aws/aws-sdk-java-v2: AWS SDK for Java v2 2.53.1

2.53.1 2026-08-14 AWS Glue Features Added support for associating glossary terms with iterable form items, such as table columns. AWS SDK for Java v2 Features Updated endpoint and partition metadata. Agents for Amazon…

Source: AWS SDK Java v2 Releases aws-sdk-java-automation
AWS GitHub

aws/aws-sdk-js-v3: v3.1111.0

3.1111.0(2026-08-14) Chores upgrade to typescript 7 (#8264) (ca81fbb7) remove jest, use vitest for remaining test suites (#8263) (3a88aada) Documentation Changes client-redshift: Amazon Redshift now unlocks a locked…

Source: AWS SDK JS v3 Releases aws-sdk-js-automation
AWS GitHub

aws/aws-cli: 2.36.24

Tagging 2.36.24 release.

Source: AWS CLI Releases aws-cli-automation
AWS Cloud General

Steal this Agent

Reclaim your Friday afternoons ☕ Use Agent Builder in Gemini Enterprise to build an AI teammate that drafts weekly reports directly from your Drive, Gmail, and Chat. Copy the prompt in the comments to try it yourself 👇

Source: Google Cloud Tech Google Cloud
AI Tools GitHub AI

langchain-ai/langchain: langchain-openai==1.5.1

Changes since langchain-openai==1.5.0 release(openai): 1.5.1 (#39653) fix(openai): preserve streamed encrypted reasoning (#39635) chore(infra): support langsmith gateway in CI (#39651)

Source: LangChain Releases github-actions[bot]
AWS

Amazon RDS for Oracle now supports Oracle APEX version 26.1

Amazon Relational Database Service (Amazon RDS) for Oracle now supports Oracle APEX version 26.1. Amazon RDS for Oracle is a managed database service that makes it simple to set up, operate, and scale Oracle Database…

Source: AWS What's New aws@amazon.com
AWS

Observability best practices for Lambda durable functions

Learn observability best practices for AWS Lambda durable functions, including CloudWatch metrics, custom alarms, structured logging, and X-Ray tracing for debugging callback timeouts end-to-end.

Source: AWS Compute Blog D Surya Sai
Hardware

Just released: Raspberry Pi Book of Making 2027

We’ve once again rounded up a few of our favourite projects previously published in Raspberry Pi Official Magazine. The post Just released: Raspberry Pi Book of Making 2027 appeared first on Raspberry Pi.

Source: Raspberry Pi News Andrew Gregory
Java

The Codebase Is the Agent's Working Environment

Agents generate code in seconds, so investing in code quality looks obsolete. My daily work with agents shows the opposite. Every session starts by reading the existing code, and its quality decides how productive the…

Source: Adam Bien Blog
Vue.js GitHub JavaScript

vuejs/core: v3.6.0-rc.4

For stable releases, please refer to CHANGELOG.md for details. For pre-releases, please refer to CHANGELOG.md of the minor branch.

Source: Vue.js Releases github-actions[bot]
Hardware

ESP32-S31-Korvo-1 Reference Design

Language English ESP32-S31-Korvo-1_Reference_Design_EN.zipESP32-S31ESP32-S31-Korvo-1 reference design resources include schematics, PCB layout files, Gerber files, PCB fabrication specifications, bills of materials…

Source: Espressif News Anonymous
Hardware

ESP32-S31-Function-CoreBoard-1 Reference Design

Language English ESP32-S31-Function-CoreBoard-1_Reference_Design_EN.zipESP32-S31ESP32-S31-Function-CoreBoard-1 reference design resources include schematics, PCB layout files, Gerber files, PCB fabrication…

Source: Espressif News Anonymous
AWS

AWS Billing and Cost Management introduces Managed Dashboards

AWS Billing and Cost Management (BCM) Dashboards now include Managed Dashboards. These are a collection of preconfigured and read-only dashboards located in your dashboard list. They deliver actionable cost insights…

Source: AWS What's New aws@amazon.com
Java

Preparing for Change: Safe Switching over Sealed APIs

An exhaustive switch on a sealed type covers the permitted subtypes the compiler knows about; it does not cover future additions, which can cause MatchException at run time. API authors should document the expected…

Source: Inside Java Brian Goetz
JavaScript

After Supper: Rewinding a Family Dinner Through Memory

This is a submission for Frontend Challenge - Comfort Food Edition, Perfect Landing What I Built I built AFTER SUPPER, an interactive landing page about comfort food, memory, and the people around the table. Instead of…

Source: DEV JavaScript feed Adedeji Olamide
JavaScript

500 Blog Posts To Learn About Javascript

Let's learn about Javascript via these 500 free blog posts. They are ordered by HackerNoon reader engagement data. Visit the Learn Repo or LearnRepo.com to find the most read blog posts about any technology. "Not a real…

Source: DEV JavaScript feed LearnRepo
Hardware

Submersible drone analyzes ice

Doing anything on a frozen lake can carries some amount of risk. Nevertheless, every year events ranging from car racing to ice skating are held on them. As such, proper …read more

Source: Hackaday Fenix Guthrie
JavaScript

List Comprehensions, Generators, and the Matrix: When to Use Each

The Quest Begins (The "Why") I was refactoring a data‑processing script that read a CSV of user events, filtered out bots, turned timestamps into ISO strings, and dumped the clean rows into a new file. The original…

Source: DEV JavaScript feed Timevolt
JavaScript

AI agent báo 'xong' nhưng không chạy: framework 6 tầng vá lỗi

Originally published on NextFuture Bạn hỏi AI agent làm một việc, nó báo "xong", nhưng code không chạy. Bạn đổi model khác, vẫn vậy. Một kỹ sư làm việc với Claude Code, Codex và Cursor hơn một năm vừa công bố…

Source: DEV JavaScript feed BeanBean
JavaScript

The file existed, so I assumed the check passed

A user sent me two clips and a screenshot. My video merge tool had run to 100%, said "Applying transitions…", and then thrown: FS error: readFile 'merged.mp4' The error is honest and useless. merged.mp4 does not exist.…

Source: DEV JavaScript feed Hammad Shams Uddin
JavaScript

E2E Tests Without Brittle Fixtures: Generate Data on the Fly

Flaky Playwright and Cypress runs trace back, more often than anyone expects, to e2e test fixtures that quietly stopped matching the schema after last Tuesday’s migration. You have probably watched a Cypress test that…

Source: DEV JavaScript feed Mikhail Shytsko
Hardware

Automatic Naptime with BabyBjorn Bouncing Servo

Any parent with a baby and deep pockets– or friends with deep pockets– will probably sing the praises of the BabyBjorn rocking sling chair. A simple spring-loaded sling seat allows …read more

Source: Hackaday Tyler August
DevSec

Mission-Driven Security: Inside a Global Bank's Defense

In this video interview, Standard Chartered's group CISO shares insights on transitioning from technical roles to strategic leadership, the importance of business-savvy security executives, and how AI is reshaping both…

Source: Dark Reading AppSec Kristina Beek
General

What we know about the alleged Iranian hacks on US water utilities

Over the last couple of weeks, hackers have targeted and broken into the systems of several water plants in the United States. Here’s what we know and don’t know about this wave of attacks allegedly carried out by the…

Source: TechCrunch Lorenzo Franceschi-Bicchierai
JavaScript

The Color Math Was Never the Slow Part

The first version of my image-to-Minecraft-blocks converter locked up the browser tab for long enough that I assumed something had crashed. I dropped in a photo straight off my phone, hit convert, and the page stopped…

Source: DEV JavaScript feed yyj-dev
JavaScript

A planet in a browser tab

Our site now has a chapter where you scroll a camera through low orbit, visiting the four places we operate from. It looks like it should weigh fifty megabytes. It ships in roughly 1.5, and it is built almost entirely…

Source: DEV JavaScript feed INTFRAME
JavaScript

From X/Twitter Bookmarks to a Searchable Static Site

I wanted my X bookmarks to feel like a personal archive. The saved posts lived inside one account, the useful parts were hard to search, and the workflow offered no public reading surface. This project turns that…

Source: DEV JavaScript feed Bramandia G Adam
Hardware

Uninvasive EEG Interface Could Be Used To Play Games

These days, most of us interface with our computing devices in the same old-fashioned ways—via keyboards, mice, and touchscreens. The idea of a more direct brain-to-machine interface remains appealing to …read more

Source: Hackaday Zoe Skyforest
JavaScript

Scope in JavaScript

What Does Scope Mean? Scope means: where can we use a variable? Some variables work everywhere in the code. Some variables work only in one small part. Think of a House In a house, everyone can use the TV in the living…

Source: DEV JavaScript feed ABISHEK M
DevSec

Amid AI-Driven Bug-Hunt Tsunami, NIST Looks to … AI

Driven by AI-augmented research and scanning, vulnerability volumes continue to surge, driving the National Institute of Standards and Technology to ask whether AI could be the answer.

Source: Dark Reading AppSec Robert Lemos
JavaScript

Two npm worms shipped with valid provenance this year

I spent most of this year believing a green provenance check on npm meant something stronger than it does. Two incidents fixed that, and the second one changed what I build. If you haven't used it: when a package is…

Source: DEV JavaScript feed Christo
JavaScript

Build AI-Powered Workflows with Zyctra API

Build AI-Powered Workflows with Zyctra API The Problem: AI Assistants That Don't Integrate Professionals and developers face a daily challenge: juggling multiple tools, platforms, and contexts. You switch between your…

Source: DEV JavaScript feed Zyctra AI
JavaScript

Environment Config the Clean Way

Stop Hardcoding: Start with a Config Layer Every app needs configuration. API keys, database URLs, feature flags, ports. The lazy way is to sprinkle process.env calls directly in your business logic. That works until…

Source: DEV JavaScript feed Stack Horizon
DevOps

Argo Workflows 4.1

Argo Workflows 4.1 Argo Workflows 4.1 is released. Since 4.0 we’ve merged 594 commits from 56 contributors, adding 31 new features. 40 of those contributors made their first ever commit to Argo Workflows in this…

Source: Argo Project Blog Alan Clucas
PostgreSQL GitHub

supabase/postgres: 17.9.0.016-orioledb-test-1

feat: Do not hardcode `orioledb.main_buffers` in `postgresql.conf` supabase-admin-api now stores orioledb config into `generated-optimizations.conf` config file and therefore we should avoid hardcoding…

Source: Supabase Postgres Releases github-actions[bot]
General

Why Your Wearable Needs Weeks of Data Before It Becomes Useful

I can recall the time when I first put on the Oura Ring and checked my readiness score the next morning as if I were checking an exam score. I saw something like 62 and I really started to panic. Was

Source: freeCodeCamp News Shradha Puri
PostgreSQL GitHub

supabase/postgres: 15.14.1.163-test-1

feat: Do not hardcode `orioledb.main_buffers` in `postgresql.conf` supabase-admin-api now stores orioledb config into `generated-optimizations.conf` config file and therefore we should avoid hardcoding…

Source: Supabase Postgres Releases github-actions[bot]
PostgreSQL GitHub

supabase/postgres: 17.6.1.163-test-1

feat: Do not hardcode `orioledb.main_buffers` in `postgresql.conf` supabase-admin-api now stores orioledb config into `generated-optimizations.conf` config file and therefore we should avoid hardcoding…

Source: Supabase Postgres Releases github-actions[bot]
PostgreSQL GitHub

supabase/postgres: 17.6.1.163-test-1-x86

feat: Do not hardcode `orioledb.main_buffers` in `postgresql.conf` supabase-admin-api now stores orioledb config into `generated-optimizations.conf` config file and therefore we should avoid hardcoding…

Source: Supabase Postgres Releases github-actions[bot]
PostgreSQL GitHub

supabase/postgres: 17.9.0.016-orioledb-test-1-x86

feat: Do not hardcode `orioledb.main_buffers` in `postgresql.conf` supabase-admin-api now stores orioledb config into `generated-optimizations.conf` config file and therefore we should avoid hardcoding…

Source: Supabase Postgres Releases github-actions[bot]
PostgreSQL GitHub

supabase/postgres: 15.14.1.163-test-1-x86

feat: Do not hardcode `orioledb.main_buffers` in `postgresql.conf` supabase-admin-api now stores orioledb config into `generated-optimizations.conf` config file and therefore we should avoid hardcoding…

Source: Supabase Postgres Releases github-actions[bot]
General

Does Mark Zuckerberg really believe AI is ‘for everyone’?

Meta released Glimmer this week, an open-weight AI model anyone can download and run on their own hardware — a contrast to Muse Spark, the company’s more powerful model that stays locked behind its own APIs. The release…

Source: TechCrunch Theresa Loconsolo
Hardware

Snooping Flume Water Monitor Data On The Wire

[Stephen] had an interesting piece of hardware at home—namely, a Flume water monitor. It’s a smart device which reports usage data to Flume’s servers, and the water utility in turn. …read more

Source: Hackaday Zoe Skyforest
Hardware

Low-Tech Buzzing Operation Game #BackToSchool #BackToSchool2026

Low-Tech Buzzing Operation Game Build a buzzing gameboard that teaches simple circuits — great for kids and classes! This version uses mainly everyday household and recycled materials, and it’s easy for kids to build…

Source: Adafruit Blog Kelly
PostgreSQL

Joshua Drake: Parquet and Iceberg: An Overview

A pile of containers is not a shipment. A shipment is containers plus a manifest.Apache Iceberg is the manifest. It is not a file format, it is a table format: a metadata layer that records exactly which Parquet files…

Source: Planet PostgreSQL
Open Source

[$] BPF, continuous testing, and stable kernels

Ihor Solodrai and Shung-Hsi Yu wrapped up the BPF track at the 2026 Linux Storage, Filesystem, Memory-Management, and BPF Summit with a pair of sessions related to testing. Solodrai spoke about what has changed for…

Source: LWN.net daroc
Open Source

Python packaging council candidates announced

The Python Software Foundation (PSF) has announced the candidates running for the Python packaging council that was approved by the Python steering council in April. This inaugural election fills all five seats on the…

Source: LWN.net jzb
Hardware

The Python on Microcontrollers Newsletter: subscribe for free

The Python for Microcontrollers Newsletter is the place for the latest news involving Python on hardware (microcontrollers AND single board computers like Raspberry Pi). This ad-free, spam-free weekly email is filled…

Source: Adafruit Blog Anne Barela
Open Source

Security updates for Friday

Security updates have been issued by AlmaLinux (.NET 10.0, .NET 8.0, .NET 9.0, bind, bind9.16, and dracut), Debian (apr-util, chromium, postgresql-17, python-httplib2, unzip, and zip), Fedora (erlang-cowboy,…

Source: LWN.net jzb
General

How Cloudflare detects MCP traffic and helps secure it

Cloudflare Gateway identifies MCP requests using protocol-level heuristics. Security teams can use that signal to find shadow MCP traffic, enforce Portal-only access for approved servers, and block direct connections on…

Source: Cloudflare Blog Kenny Johnson
JavaScript

The 10 Sites Guide to Buying Old Pinterest Accounts .. ...

Meta Description Learn about Buy Pinterest Accounts, including account age, security risks, privacy protection, recovery options, Pinterest business features, phishing awareness, and safe account management practices in…

Source: DEV JavaScript feed glorianehaaslawes
DevSec

Cyera's Oasis Security Buy Is All About AI Agent Control

The $1 billion deal aims to converge data security and identity into a single control plane for agents, with privileged access redefined around business context rather than static roles.

Source: Dark Reading AppSec Jeffrey Schwartz
JavaScript

How I Built a Client-Side Shield for AI Chatbots (Open Source)

I was burning through API tokens on off-topic chatbot queries. Every "Who are you?" = brand leak + wasted money. So I built Shield by Vouch — a zero-cost, client-side filter that blocks prompt injections and off-topic…

Source: DEV JavaScript feed Frank man Video
JavaScript

How to Convert HEIC to PDF in the Browser with Vue 3 and Canvas

Converting HEIC (High Efficiency Image Container) files to PDF seems straightforward — decode the image, embed it in a PDF. But HEIC adds complexity: browser support varies, EXIF orientation handling is tricky, and…

Source: DEV JavaScript feed sunshey
JavaScript

React Email Checks Need One Source of Truth

If your signup form still stores email validation as a loose pile of booleans, that field is probably lying to your UI from time to time. I keep seeing the same combo in production React apps: isChecking, isAvailable,…

Source: DEV JavaScript feed ryanlee
JavaScript

A Working Application Isn't Necessarily a Well-Engineered Application

When I started building applications, I used to have a fairly simple definition of success: 𝐈𝐟 𝐢𝐭 𝐰𝐨𝐫𝐤𝐬, 𝐢𝐭'𝐬 𝐰𝐨𝐫𝐤𝐢𝐧𝐠. And honestly, that mindset makes sense when you're learning. You build a feature. You run it. It…

Source: DEV JavaScript feed Faith Omobude
Hardware

Mauchly and Eckert’s Other Computers

If you ask a random person who [John Mauchly] or [J. Presper Eckert] were, you’d probably get a blank stare. Ask a Hackaday reader, and you have a better shot. …read more

Source: Hackaday Al Williams
JavaScript

DigitalNeurals | Digital Marketing for Manufacturing Industry

Digital marketing tailored for manufacturing focuses on connecting B2B manufacturers, OEMs, and industrial suppliers with procurement decision-makers, engineers, and plant managers. Unlike consumer-focused marketing,…

Source: DEV JavaScript feed Digital Neurals
JavaScript

Friday Links #43: A Busy Week for JavaScript

There’s no shortage of new JavaScript projects, but only a fraction deserve a permanent spot in your bookmarks. This week’s selection includes fresh framework releases, interesting React experiments, useful UI…

Source: DEV JavaScript feed JSDev Space
JavaScript

jalali-js: Persian calendar for JavaScript

You've probably been here: you want Jalali dates in the UI, but not a pile of packages, Moment plugins, and Jalali strings leaking into your API. jalali-js (currently 0.4.2) is the small toolkit I reach for in that…

Source: DEV JavaScript feed Pooyan Razian
Hardware

Rare IBM PC Brought Back To Life

[Epictronics] happens to have a rather special machine in his possession. It’s a rare IBM PC prototype or concept machine from the late 1980s known as the IBM 7496 Executive …read more

Source: Hackaday Zoe Skyforest
AI Research AI

Annealed Softmax Greedy in Many-Armed Bayesian Bandits

arXiv:2605.31034v2 Announce Type: replace Abstract: Reinforcement learning with verifiable rewards (RLVR) and group-based policy optimization methods such as GRPO update a stochastic policy by sampling multiple…

Source: arXiv cs.LG William Overman, Mohsen Bayati
AI Research AI

What Makes a Peer? Valuation-Anchored Similarity in Private Markets

arXiv:2608.12594v1 Announce Type: cross Abstract: As more investors contemplate private markets and contend with limited transparency, sparse disclosures, and infrequent transactions, identifying economically meaningful…

Source: arXiv cs.LG Sebastian Frank, Jingrao Lyu, Max Jarmey, Preetha Saha, Mingshu Li, Sweet Kaur, Sola Akinola, Dhagash Mehta
AI Research AI

Training and Benchmarking Code Generation for Physics-Inspired Animations

arXiv:2602.10840v2 Announce Type: replace Abstract: Large language models (LLMs) have been widely studied in areas such as mathematical reasoning, complex coding, and scientific problem solving. However, their ability…

Source: arXiv cs.LG Yanan Wang, Renxi Wang, Yongxin Wang, Xuezhi Liang, Fajri Koto, Timothy Baldwin, Xiaodan Liang, Haonan Li
AI Research AI

SEAR: Sample Efficient Action Chunking Reinforcement Learning

arXiv:2603.01891v2 Announce Type: replace Abstract: Action chunking improves exploration and accelerates value propagation in long-horizon reinforcement learning, but naively applying off-policy methods to the…

Source: arXiv cs.LG C. F. Maximilian Nagy, Onur Celik, Emiliyan Gospodinov, Florian Seligmann, Weiran Liao, Aryan Kaushik, Gerhard Neumann
AI Research AI

Training Non-Differentiable Networks via Optimal Transport

arXiv:2605.01928v2 Announce Type: replace Abstract: We optimize losses that jump: spiking thresholds, quantized layers, and discrete routing put jumps in the forward pass, where backpropagation does not apply. Finite…

Source: arXiv cs.LG An T. Le
AI Research AI

Demand Transfer Estimation at Scale via Restricted Logit Modeling

arXiv:2608.12680v1 Announce Type: new Abstract: Item demand forecasting is an integral component of store assortment optimization. Existing literature focuses on learning a suitable customer choice model and using this…

Source: arXiv cs.LG Lakshya Garg, Deep Narayan Mishra, Swapnil Yadav, Haoan Wang, Sujal Alugubelli, Karthik Kumaran, Anupriya Sharma
AI Research AI

Dimensional Balance Improves Large Scale Spatiotemporal Prediction Performance

arXiv:2605.18793v3 Announce Type: replace Abstract: Accurate spatiotemporal pattern analysis is critical in fields such as urban traffic, meteorology, and public health monitoring. However, existing methods face…

Source: arXiv cs.LG Jing Chen, Shixiang Pan, Yujie Fan, Haocheng Ye, Haitao Xu, Wenqiang Xu
AI Research AI

VALG: An Agentic System for ML Theory Research

arXiv:2608.13060v1 Announce Type: cross Abstract: Machine learning theory studies learning procedures through mathematical setups in which the data model, training protocol, oracle access, loss, metric, and randomness…

Source: arXiv cs.LG Dechen Zhang, Xuan Tang, Xinxiang Yin, Xingwu Chen, Jian Qian, Difan Zou
AI Research AI

Latent Fact-Checking: Detecting Misinformation through Activation Engineering

arXiv:2608.06417v3 Announce Type: replace Abstract: The proliferation of misinformation online has driven demand for scalable detection systems. While most existing approaches rely on surface-level linguistic features…

Source: arXiv cs.LG Pedro T. Barcelos, Ot\'avio Parraga, Marcelo M. Mussi, Lucas M. Fraga, Lucas S. Kupssinsk\"u, Rodrigo C. Barros
AI Research AI

LoKiFormer: Locality-aware Attention with Decoupled Knowledge Memory for Efficient Large Language Model Pretraining

arXiv:2608.12419v1 Announce Type: new Abstract: Large language models (LLMs) have achieved remarkable breakthroughs across various applications. However, their architectures remain inefficient in pretraining due to two…

Source: arXiv cs.LG Qiuwu Chen, Zimo Liu, Yuchen Li, Ying Sun, Yifan Zhang, Zhijie Qiu, Zeng You, Ryan Dong, Simeng Ma, Yaofo Chen, Mingkui Tan
AI Research AI

Vero: Can AI Agents Build Formally Verified Software Repositories?

arXiv:2608.13522v1 Announce Type: new Abstract: AI agents are increasingly used for programming, but do not provide any guarantee on the correctness of generated code. Verified code generation, in which an agent…

Source: arXiv cs.LG Zhe Ye, Hantao Lou, Yuechun Sun, Peiyang Song, Zhengxu Yan, Timothe Kasriel, Qingyang Zhang, Kaiyu Yang, Soonho Kong, Jingxuan He, Dawn Song
AI Research AI

Yes, Q-learning Helps Offline In-Context RL

arXiv:2502.17666v5 Announce Type: replace Abstract: Existing offline in-context reinforcement learning (ICRL) methods have predominantly relied on supervised training objectives, which are known to have limitations in…

Source: arXiv cs.LG Denis Tarasov, Alexander Nikulin, Ilya Zisman, Albina Klepach, Andrei Polubarov, Nikita Lyubaykin, Alexander Derevyagin, Igor Kiselev, Vladislav Kurenkov
AI Research AI

Black-Box Knowledge Transfer across Distinct Feature Sets

arXiv:2608.12403v1 Announce Type: cross Abstract: Pre-trained black-box predictive functions encode knowledge distilled from massive datasets and extensive computation. However, when the available input features differ…

Source: arXiv cs.LG Oh-Ran Kwon, Daeyoung Ham
AI Research AI

Embedding networks with the random walk first return time distribution

arXiv:2512.02694v3 Announce Type: replace-cross Abstract: We propose the first return time distribution (FRTD) of a random walk as an interpretable and mathematically grounded node embedding. The FRTD assigns a…

Source: arXiv cs.LG Vedanta Thapar, Renaud Lambiotte, George T. Cantwell
AI Research AI

Gradient-Free Warm-Start Library Recovery: an Amortized-Regret Separation

arXiv:2606.21253v2 Announce Type: replace Abstract: Continual learning that is gradient-free, local, online, and append-only is attractive for edge and streaming deployment, but its value is usually argued informally.…

Source: arXiv cs.LG Jianwei Lou (RailMind Systems, Neuss, Germany)
AI Research AI

MAG: MAnifold Guided Semi-Supervised Multi-modal In-Context Learning

arXiv:2608.12724v1 Announce Type: new Abstract: Few-shot in-context learning (ICL) with multi-modal large language models (MLLMs) enables task adaptation without parameter updates, but its performance is highly…

Source: arXiv cs.LG Zirui Cheng, Xun Xu, Tiankai Chen, Fady Rezk, Bowen Zheng, Xiaodong Shi, Shijie Li, Kangkang Lu, Bharadwaj Veeravalli, Nancy F. Chen
AI Research AI

Scaling Automatic Research Agents via World Models

arXiv:2608.12564v1 Announce Type: new Abstract: Automating empirical research is a long-standing direction of AI. Recent automatic research (AutoResearch) agents bring this goal within reach, as modern LLMs show the…

Source: arXiv cs.LG Xiyuan Yang, Sheikh Sarwar, Jingru Cheng, Zhan Shi, Duanshun Li, Huiyuan Chen, Haiyang Zhang, Chenlei Guo, Jingrui He, Zhenyu Liao
AI Research AI

Efficient Image Restoration with State-Dependent Forward Diffusion

arXiv:2505.16733v3 Announce Type: replace Abstract: This paper proposes to perform image restoration through a state-dependent mean-reverting forward diffusion (FoD) process. In contrast to traditional diffusion-based…

Source: arXiv cs.LG Ziwei Luo, Fredrik K. Gustafsson, Jens Sj\"olund, Thomas B. Sch\"on
AI Research AI

DARTree: Speculative Diffusion Decoding with Autoregressive Draft Trees

arXiv:2608.13524v1 Announce Type: new Abstract: Speculative decoding losslessly accelerates autoregressive language models by verifying multiple draft tokens in parallel. Diffusion-based drafters further reduce proposal…

Source: arXiv cs.LG Tianyi Li, Yaxin Luo, Xinyi Shang, Zhiqiang Shen
AI Research AI

Regulatory Approval Is Not Enough: Gaps in Trustworthy AI Reporting in FDA-Cleared Medical Devices

arXiv:2608.12360v1 Announce Type: cross Abstract: Background: AI/ML-enabled medical devices are increasingly deployed in healthcare under evolving regulatory frameworks. As these systems become more integrated into…

Source: arXiv cs.LG Ahmed M Salih, Oliver D\'iaz, Alejandro Guzman, Noah Marquez Vara, Fotios Avgoustidis, Rituraj Singh, Saman Barakat, Zahra Raisi-Estabragh, Karim Lekadir
AI Research AI

Scaling Time Series Classification via XAI-Driven Data Reduction

arXiv:2607.15774v3 Announce Type: replace Abstract: Explainable AI (XAI) for time series has seen significant algorithmic growth, but its utility in providing measurable performance gains for downstream tasks remains…

Source: arXiv cs.LG Davide Italo Serramazza, Thach Le Nguyen, Georgiana Ifrim
AI Research AI

Designing AI Pipelines for Decision-Ready ITSM Intelligence

arXiv:2608.12670v1 Announce Type: cross Abstract: IT service management (ITSM) systems accumulate large volumes of heterogeneous ticket data that are difficult for sales and executive stakeholders to convert into…

Source: arXiv cs.LG Archan Dutta, Yash Dharmadhikari, Marat Valiullin, Rahul Guha, Alexander Liss
AI Research AI

TabSOM: A tabular-to-image encoding method based on self-organizing maps

arXiv:2608.13513v1 Announce Type: cross Abstract: Tabular-to-image methods have emerged as novel approaches to leverage the high predictive performance of convolutional neural networks and vision transformers. They…

Source: arXiv cs.LG David Chushig-Muzo, Mar\'ia \'Angeles Rodr\'iguez de Cara, Eva Milara, Francisco J. Lara-Abelenda, Luis Zhinin-Vera, Diego H. Peluffo-Ord\'o\~nez
AI Research AI

Thermalizing Stochastic Programs

arXiv:2608.01615v2 Announce Type: replace-cross Abstract: We present a set of tools for mapping general stochastic programs to thermodynamic hardware designed for energy-efficient stochastic sampling. Given a target…

Source: arXiv cs.LG Mirko Amico, Andra\v{z} Jelin\v{c}i\v{c}, Colin Oscar Nancarrow, Leo Tyrpak, David Roberts, Seth Morton, Dalton Sakthivadivel, Ashwin Gopal, Guillaume Verdon
AI Research AI

Multi-perspective Imbalance-Conscious 6G Beamforming Optimization and Performance

arXiv:2608.12929v1 Announce Type: new Abstract: The study presents a systematic machine learning (ML) study of 6G-IoT beamforming optimization (6GBO) using supervised and unsupervised approaches. We compared the…

Source: arXiv cs.LG Chukwunonso Henry Nwokoye, Blessing Oluchi Iloka, Chikwue V. Umeugoji, Christopher Anene Egemba, Nnenna D. Duroha
AI Research AI

Exploring Oversmoothing with Householder Matrices

arXiv:2608.12514v1 Announce Type: new Abstract: Deep graph neural networks(GNNs) suffer from oversmoothing- a progressive collapse of node representation towards a low information subspace as network depth increases…

Source: arXiv cs.LG Bhaskar Karol
AI Research AI

Branch and Bound for Relational Verification of Neural Networks

arXiv:2608.13118v1 Announce Type: new Abstract: Verification of neural networks against relational specifications, such as global robustness, is crucial for safety-critical applications of cyber-physical systems (CPS),…

Source: arXiv cs.LG Kota Fukuda, Zhenya Zhang, Guanqin Zhang, Jianjun Zhao
AI Research AI

The Boolean Power of ReLU

arXiv:2608.12617v1 Announce Type: new Abstract: We prove that, on finite simple undirected graphs equipped with a single Boolean node feature, the Boolean queries expressible in $\Sigma$-MPLang, for any collection…

Source: arXiv cs.LG Pablo Barcel\'o, Floris Geerts, Matthias Lanzinger, Klara Pakhomenko, Jan Van den Bussche
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Learning Discrete Decisions for MIPs with Constraint-Aware Diffusion

arXiv:2608.13079v1 Announce Type: new Abstract: This paper proposes a novel learning-based approach to approximately solve instances of mixed-integer optimization problems. These problems are computationally…

Source: arXiv cs.LG Vincenzo Di Vito, Mehdi Taghizadeh, Deepjyoti Deka, Kaarthik Sundar, Ferdinando Fioretto
AI Research AI

Physics-Informed Laplace Neural Operator for Solving Partial Differential Equations

arXiv:2602.12706v2 Announce Type: replace Abstract: Neural operators have emerged as fast surrogate solvers for parametric partial differential equations (PDEs). However, purely data-driven models often require…

Source: arXiv cs.LG Heechang Kim, Qianying Cao, Hyomin Shin, Seungchul Lee, George Em Karniadakis, Minseok Choi
AI Research AI

FSGR: Mitigating Token Frequency Bias for Fair SID-Based Generative Recommendation

arXiv:2608.12845v1 Announce Type: cross Abstract: Semantic ID (SID)-based generative recommendation has recently achieved remarkable success. However, existing methods suffer from a previously overlooked fairness issue,…

Source: arXiv cs.LG Yuchen Zheng, Sihan Xu, Jingwen Yang, Xiangrui Cai, Haiwei Zhang, Xiaojie Yuan
AI Research AI

Statistical Properties of Robust Learning under Distributional Shifts

arXiv:2608.13133v1 Announce Type: cross Abstract: Distributional shifts arise when the target deployment environment differs from the source environment that generated the training data. Robust learning frameworks such…

Source: arXiv cs.LG Zhiyi Li, Xiaojie Mao, Yunbei Xu, Ruohan Zhan
AI Research AI

A Compositional Theory of Curvature in Probabilistic Circuits

arXiv:2608.12869v1 Announce Type: new Abstract: Probabilistic Circuits (PCs) are generative models that support exact inference and, unlike deep neural networks, admit an exact and tractable measure of loss-surface…

Source: arXiv cs.LG Hrithik Suresh, Sahil Sidheekh, Shelar Parth Vijay, Yasir Z, Sriraam Natarajan, Narayanan Chatapuram Krishnan
AI Research AI

Exploring Sparsity for Parameter Efficient Fine Tuning Using Wavelets for Vision

arXiv:2505.12532v3 Announce Type: replace-cross Abstract: Efficiently adapting large pretrained models is critical under tight compute and memory budgets. While Parameter-Efficient Fine-Tuning (PEFT) methods like LoRA…

Source: arXiv cs.LG Ahmet Bilican, M. Ak{\i}n Y{\i}lmaz, A. Murat Tekalp, R. G\"okberk Cinbi\c{s}
AI Research AI

Recursive Synthesis for Long-Horizon Terminal Tasks

arXiv:2608.05466v3 Announce Type: replace-cross Abstract: High-quality long-horizon training data for terminal agents is expensive to produce, often costing hundreds to thousands of dollars per task, because each task…

Source: arXiv cs.LG Zhongzhi Li, Yucheng Shi, Zongxia Li, Ruhan Wang, Anhao Li, Zixun Huang, Junyao Yang, Lei Ke, Ninghao Liu, Haitao Mi, Leowei Liang
AI Research AI

Stochastic Neural Networks for Quantum Devices

arXiv:2602.22241v2 Announce Type: replace-cross Abstract: This work presents a formulation to express and optimize stochastic neural networks as quantum circuits in gate-based quantum computing. Motivated by a classical…

Source: arXiv cs.LG Bodo Rosenhahn, Tobias J. Osborne, Christoph Hirche
AI Research AI

Training AI Scientists to Replicate Research

arXiv:2608.13331v1 Announce Type: new Abstract: The replicability of papers is a cornerstone of scientific knowledge, ensuring the reliability of existing results and providing a base for further experiments. The act of…

Source: arXiv cs.LG Damon Falck, Samer Sabri, Anja Surina, Thom Foster, Anya Sims, Sam Devlin, Dylan Rogers, Tantum Collins, Kaloyan Aleksiev, Louis Kirsch, Edward Hughes
AI Research AI

MBA: Multimodal Benchmark and Agents for Real-World Business Ideation

arXiv:2608.11616v2 Announce Type: replace-cross Abstract: Agentic systems powered by large language models (LLMs) have opened new opportunities for business ideation. Yet existing approaches remain confined to a…

Source: arXiv cs.LG Hojun Choi, Jaeyo Shin, Suin Lee, Hyunjung Shim
AI Research AI

A Cloud-Edge System for Multimodal Clinical Screening in Resource-Constrained Rural Settings

arXiv:2608.12745v1 Announce Type: new Abstract: Medical AI has demonstrated specialist-level diagnostic accuracy, yet these capabilities remain largely inaccessible in resource-constrained rural settings where bandwidth…

Source: arXiv cs.LG Hei Ting (Una), Chan, Chenwei Wu, Xueshen Liu, Zesen Zhao, Boyuan Zheng, Luis Filipe Nakayama, Michael G. Morley, Liyue Shen, Jiasi Chen, Z. Morley Mao
AI Research AI

Synthetic Persona Pretraining: Alignment from Token Zero

arXiv:2608.13482v1 Announce Type: new Abstract: As language-model-based AI is increasingly deployed in autonomous settings, aligning its goals and values with those of humans becomes critical. Today, alignment, and the…

Source: arXiv cs.LG Julian Minder, Viktor Moskvoretskii, Raghav Singhal, Difan Jiao, Andy Arditi, Shaobo Cui, Yiderigun Borjigin, Kartik Bali, Stefan Krsteski, Harsh Raj, Huu Nguyen, Jannik Brinkmann, Ashton Anderson, R…
AI Research AI

Defensive Boosting for Online Probabilistic Forecasting

arXiv:2608.13554v1 Announce Type: new Abstract: We study online probabilistic forecasting of binary outcomes chosen by an adaptive adversary. Given an online learning algorithm for a weak hypothesis class $H$, we would…

Source: arXiv cs.LG Georgy Noarov, Aaron Roth
AI Research AI

How Do VLMs Behave When Blind or Misled? Behavioral Evaluation of VLMs on Scientific Figures

arXiv:2608.13267v1 Announce Type: cross Abstract: Existing vision-language model (VLM) benchmarks emphasize perception and reasoning accuracy (how well VLMs describe and reason about what they see in an image), with…

Source: arXiv cs.LG Paul Osemudiame Oamen, Owusu-Banahene Osei, Ananya Mukherjee, Christian Greisinger, Steffen Eger, Pius Onobhayedo, Wei Zhao
AI Research AI

MARCH: Scaling Recurrent Memory with Content-Routed State Anchors

arXiv:2608.12435v1 Announce Type: new Abstract: Transformers owe much of their strong long-context retrieval capability to a token-level memory that grows with context length. This flexibility, however, incurs a…

Source: arXiv cs.LG Ming Zhang, Kaisen Yang, Shu Yu, Ermo Hua, Ning Ding, Xia Hu, Bowen Zhou, Chaochao Lu, Youbang Sun
AI Research AI

Incremental Evaluation and Training in Relational Deep Learning

arXiv:2608.13023v1 Announce Type: new Abstract: Relational Deep Learning (RDL) models multi-tabular databases as temporal heterogeneous graphs to enable end-to-end representation learning. However, prevailing RDL…

Source: arXiv cs.LG Jakub Pele\v{s}ka, Gustav \v{S}\'ir
AI Research AI

Fine-tuned Normalizing Flows for ALICE Zero Degree Calorimeter Fast Simulation

arXiv:2608.12795v1 Announce Type: cross Abstract: Simulating the ALICE Zero Degree Calorimeter (ZDC) neutron detector responses at the LHC is computationally expensive, requiring complex Monte Carlo chains. We develop a…

Source: arXiv cs.LG Emilia Majerz, Jacek Otwinowski, Witold Dzwinel, Jacek Kitowski
AI Research AI

Position: Reasoning is a Learnable Rule-Based Process

arXiv:2608.12325v1 Announce Type: cross Abstract: Autonomous reasoning is among the most scientifically and economically motivating topics in AI today. Historically the purview of symbolic AI, recent advances have…

Source: arXiv cs.LG Rachel Lawrence, Jacqueline Maasch
AI Research AI

SE(3)-MeanFlow: Few-Step Protein Backbone Generation on Lie Groups

arXiv:2607.27431v4 Announce Type: replace Abstract: Generative modeling of protein backbones promises the de novo design of proteins with prescribed structural and functional properties. Existing diffusion and…

Source: arXiv cs.LG Yikun Bai, Binghang Lu, Yikai Liu, Elaheh Akbari, Soheil Kolouri, Linxuan Wang, Ping He, Shuchan Wang, Ruqi Zhang, Guang Lin
AI Research AI

EEG Decoding Using CNN and LSTM Network

arXiv:2608.13285v1 Announce Type: new Abstract: Motor imagery (MI) brain--computer interfaces (BCIs) have emerged as a promising approach for establishing flexible communication pathways between the human brain and…

Source: arXiv cs.LG Athanasios Karagounis
AI Research AI

Perturbation-based Regional Interpretability through Subtraction Mapping (PRISM): naming-error dissociations in language models and post-stroke aphasia

arXiv:2608.12717v1 Announce Type: new Abstract: Mechanistic interpretability of large language models lacks spatially resolved, falsifiable tools for testing whether internal components are specialized for distinct…

Source: arXiv cs.LG Xiang Guan, Roger D. Newman-Norlund, Yong Yang, Saeed Ahmadi, Regan Willis, Nadra Salman, Kalil Warren, Srihari Nelakuditi, Chris Rorden, Leonardo Bonilha, Julius Fridriksson
AI Research AI

General Bayesian Policy Learning

arXiv:2602.23672v2 Announce Type: replace-cross Abstract: This study proposes a General Bayes framework for policy learning. We consider decision problems in which a decision-maker chooses an action from a given set to…

Source: arXiv cs.LG Masahiro Kato
AI Research AI

Unified Multi-Dimensional Benchmark for Complex Graph Reasoning in Large Language Models

arXiv:2608.12391v1 Announce Type: cross Abstract: Graph reasoning provides a promising testbed for evaluating the reasoning ability of large language models (LLMs), as graph instances can be programmatically generated,…

Source: arXiv cs.LG Fali Wang, Ali Al-Lawati, Iliyas Bektas, Jinxuan Fang, Alek Melenski, Tianxiang Zhao, Yao Ma, Suhang Wang
AI Research AI

SAF3R: Dynamic Sparse Attention for Feed-Forward 3D Reconstruction Transformers

arXiv:2607.03612v2 Announce Type: replace-cross Abstract: Feed-forward 3D reconstruction (F3R) transformers have recently achieved remarkable success. However, scaling them to long image sequences remains challenging,…

Source: arXiv cs.LG Jianing Deng, Yuanzhe Li, Jialu Wang, Song Wang, Tianlong Chen, Huanrui Yang, Jingtong Hu
AI Research AI

DiG-bench: Discovery in Games

arXiv:2608.12593v1 Announce Type: cross Abstract: Discovery---formulating novel generalizations---is a central part of the scientific process. Despite its importance, there is a gap in the current AI benchmark…

Source: arXiv cs.LG Ruairidh M. Battleday, Kai Sandbrink, Jimi Cullen-Drohan, Zihan Yan, Timothy Muller, Clare Maguire, Ales Kubicek, Fraser Greenlee-Scott, Sukrit Sumant, Tri Dao, J\"urgen Schmidhuber, Michal Valko, Jo…
AI Research AI

Novel Knowledge-Guided Generative Methods for Synthetic Transcriptomic Data

arXiv:2608.13256v1 Announce Type: new Abstract: As biomedical research increasingly relies on data-intensive tools, the quality and utility of datasets are critical. Challenges such as imbalances, biases, and ethical or…

Source: arXiv cs.LG Francesca Pia Panaccione, Sofia Mongardi, Marco Masseroli, Pietro Pinoli
AI Research AI

Diagnosing JEPA World Models with Action-Conditioned Predictive Consistency

arXiv:2608.12939v1 Announce Type: new Abstract: Joint-embedding predictive architectures (JEPAs) learn world models that predict in a compact latent space rather than in pixels, reducing the pressure to model nuisance…

Source: arXiv cs.LG Guo An, Zijing Wu, Honghua Dong, Yuhao Yan, Zixuan Gui, Haochong Chen, Shanzhao Ruan, Xiang Wang, Yurong Ling, Qi Tian
AI Research AI

LittleLearner: Language Models Under Pedagogically Controlled Knowledge Exposure

arXiv:2608.13545v1 Announce Type: cross Abstract: Modern language models are trained on heterogeneous web-scale text corpora. Consequently, studying knowledge and skill acquisition is difficult, as prior exposure to…

Source: arXiv cs.LG Fanfei Li, Jana Zeller, Manuel Prada-Corral, Thadd\"aus Wiedemer, Prasanna Mayilvahanan, Ryan Cotterell, Wieland Brendel
AI Research AI

Do Transformers Need Three Projections? Systematic Study of QKV Variants

arXiv:2606.04032v3 Announce Type: replace Abstract: Transformers have become the standard solution for various AI tasks, with the query, key, and value (QKV) attention formulation playing a central role. However, the…

Source: arXiv cs.LG Ali Kayyam, Anusha Madan Gopal, M Anthony Lewis
AI Research AI

REOPD: Reliability-Adaptive Reward Extrapolation for On-Policy Distillation

arXiv:2608.11698v2 Announce Type: replace Abstract: On-policy distillation (OPD) trains a student on its own trajectories under dense token-level supervision from a teacher. Reward-extrapolation methods such as ExOPD…

Source: arXiv cs.LG Yang Sun, Lichao Ma, Houyuan Qin, Yuxin Liu, Hanyang Lu, Yao Zhu, Pinlong Cai, Guohang Yan
AI Research AI

Exponential quantum advantage for learning signals with a single qubit

arXiv:2608.13521v1 Announce Type: cross Abstract: Quantum technology has the potential to transform scientific discovery, but quantum advantages often require processing capabilities well beyond the reach of…

Source: arXiv cs.LG Ishaan Kannan, Sridhar Prabhu, Saeed A. Khan, Mandar M. Sohoni, Xingrui Song, Saswata Roy, Alen Senanian, Valla Fatemi, Peter L. McMahon, Jordan Cotler
AI Research AI

Constitutional On-Policy Safe Distillation

arXiv:2606.03089v3 Announce Type: replace Abstract: On-policy self-distillation (OPSD) has emerged as an efficient post-training paradigm by using a teacher conditioned on privileged information to provide dense…

Source: arXiv cs.LG Ming Wen, Yuxuan Liu, Kun Yang, Yunhao Feng, Zhuoer Xu, Yuhao Sun, Shiwen Cui, Xiang Zheng, Yi Liu, Xingjun Ma, Yu-Gang Jiang
AI Research AI

TabH2O: A Unified Foundation Model for Tabular Prediction

arXiv:2605.18383v2 Announce Type: replace Abstract: We present TabH2O, a foundation model for tabular data that performs classification and regression in a single forward pass via in-context learning. TabH2O builds on…

Source: arXiv cs.LG Pascal Pfeiffer, Dmitry Gordeev, Mathias M\"uller, Laura Fink, Joan Salv\`a Soler, Mark Landry, Branden Murray, Marcos V. Conde, Sri Satish Ambati
AI Research AI

The Time Value of Evolution

arXiv:2608.13297v1 Announce Type: new Abstract: In evolutionary search, a weak child can be a valuable ancestor that makes high-fitness regions reachable. Immediate-return control is blind to this delayed utility,…

Source: arXiv cs.LG Matthew Siper, Ahmed Khalifa, Julian Togelius
AI Research AI

I-SDPO: Instance-Level Adaptive Self-Distillation Policy Optimization

arXiv:2608.12957v1 Announce Type: new Abstract: Group Relative Policy Optimization (GRPO) learns from reward differences within a rollout group, but receives no useful relative signal when every sampled response is…

Source: arXiv cs.LG Yubo Zhang, Xinhong Ma, Zezhong Tan, Ziqiang Dong
AI Research AI

Beyond Simulated Benchmarks: Evaluating Motion Representations for Fall Detection Under Real-World Data Scarcity

arXiv:2608.13197v1 Announce Type: new Abstract: Falls are a major health concern for older adults, and wearable sensors have been widely explored for detecting falls and enabling timely intervention. However, real-world…

Source: arXiv cs.LG Timilehin B. Aderinola, Ilaria D'Ascanio, Luca Palmerini, Lorenzo Chiari, Jochen Klenk, Clemens Becker, Brian Caulfield, Georgiana Ifrim
AI Research AI

Foundation models for movement data: Are they ready for prime-time?

arXiv:2608.13316v1 Announce Type: cross Abstract: Foundation models (FMs) trained on large-scale accelerometer data have been proposed as general-purpose feature extractors for health monitoring, but systematic evidence…

Source: arXiv cs.LG Alexander Br\"auer, Benjamin Cauchi, Nils Strodthoff
AI Research AI

Concept Drift Detection and Adaptive Retraining of Malware Classification Models

arXiv:2608.13465v1 Announce Type: new Abstract: Concept drift refers to changes over time in the statistical properties of data, as compared to the data that was used to train a learning model. Machine learning models…

Source: arXiv cs.LG Christofer Washington Berruz Chungata, Martin Jurecek, Katerina Potika, William B. Andreopoulos, Mark Stamp
AI Research AI

Unifying Generative Models with Path Integrals

arXiv:2608.12438v1 Announce Type: new Abstract: We formulate generative modeling as a path integral in which flow-based, diffusion-based, variational, and adversarial models arise as different evaluation principles for…

Source: arXiv cs.LG Ramon Winterhalder
AI Research AI

From Visual Widgets to UI Code: Efficient Tool-Grounded Generation

arXiv:2608.12611v1 Announce Type: cross Abstract: Existing screenshot-to-code systems face a trade-off between flexibility and controllability. Direct multimodal generation can hallucinate visible details, whereas…

Source: arXiv cs.LG Houston H. Zhang, Tao Zhang, Li Gu, Linfeng Ye, Yuanhao Yu, Xinxin Zuo, Yang Wang, Zhixiang Chi
AI Research AI

A Simple State Space Model Excels at Multivariate Time Series Classification

arXiv:2605.27406v2 Announce Type: replace Abstract: Structured state space models (SSMs) have recently emerged as a promising foundation for sequence modeling, with Mamba-based architectures demonstrating strong…

Source: arXiv cs.LG Hassan Saadatmand, Geoffrey I. Webb, Hamid Rezatofighi, Mahsa Salehi
AI Research AI

SteerBench-Work: A Benchmark for Agent Steering at Action Boundaries

arXiv:2608.12654v1 Announce Type: cross Abstract: Long-running LLM agents act through tools, and a single step can send an email, merge a pull request, or wire a payment. The steering decision is the pre-commit choice…

Source: arXiv cs.LG Oguz Serdar, Cuneyt Mertayak
AI Research AI

Simulation-to-real transfer learning for infrared spectroscopic chemical sensing and analysis from molecules to complex samples

arXiv:2608.13341v1 Announce Type: new Abstract: Infrared (IR) spectroscopy is widely used for chemical sensing, but extracting reliable chemical information from spectra remains challenging. Conventional interpretation…

Source: arXiv cs.LG Yusen Tan, Yixuan Chen, Zheng Fang, Pan Liu, Yifan Li, Qinyu Guo, Zhedong Lin, Yuqiang Li, Xiangxiang Zeng, Tong Wang, Jun Xia
AI Research AI

Tight Nonasymptotic Local Convergence of Sinkhorn-Knopp

arXiv:2608.11760v2 Announce Type: replace-cross Abstract: We revisit the Sinkhorn-Knopp (SK) algorithm for the matrix scaling problem. Despite extensive literature on the global convergence of SK and its variants, its…

Source: arXiv cs.LG Wenzhi Gao, Zhaonan Qu, Yinyu Ye, Madeleine Udell
AI Research AI

ReconSpan: Reconstruction-Guided Adaptive Latent Tokenization

arXiv:2608.12756v1 Announce Type: cross Abstract: Adaptive latent tokenization maps a fine-grained input to a shorter sequence of continuous representations associated with input-dependent spans. We introduce ReconSpan,…

Source: arXiv cs.LG Lixing Li
AI Research AI

The Noise Premium in Adversarial Training for Kernel Regression

arXiv:2607.27995v2 Announce Type: replace-cross Abstract: Adversarial training can improve the robustness of predictive models to bounded perturbations, often at the cost of statistical efficiency. We study this…

Source: arXiv cs.LG Yiling Xie, Xiaoming Huo
AI Research AI

MatchMiner-AI: Open-source, Privacy-preserving Cancer Clinical Trial Matching using Artificial Intelligence

arXiv:2412.17228v4 Announce Type: replace-cross Abstract: Background: Clinical trials are essential to advancing cancer treatments, but fewer than 10% of adults with cancer enroll in therapeutic trials. Open-source AI…

Source: arXiv cs.LG Jennifer Altreuter, Pavel Trukhanov, Morgan A. Paul, Michael J. Hassett, Irbaz B. Riaz, Muhammad Umar Afzal, Arshad A. Mohammed, Ayub Umair, Huan He, Chueh Husan Hsu, Sarah Sammons, James Lindsay, Em…
AI Research AI

GENADA: efficient generative time series adversarial attack framework

arXiv:2608.12535v1 Announce Type: new Abstract: Deep learning models are widely used for time series analysis in domains such as healthcare, finance, energy systems, and environmental monitoring. However, these models…

Source: arXiv cs.LG Michael Baronov, Denis Vorobev, Margarita Rusanova, Petr Sokerin, Alexey Zaytsev
AI Research AI

Knowledge-guided Pattern Discovery via Coupled Tensor Factorizations

arXiv:2608.13234v1 Announce Type: new Abstract: In order to understand complex systems such as the human metabolome or human brain, different sensing technologies are used, generating complex data. These datasets are…

Source: arXiv cs.LG Gaute Johannessen, Geert Roelof van der Ploeg, Evrim Acar
AI Research AI

Prof-K: Probabilistic One-Pass Filtering for Efficient Top-k Selection

arXiv:2608.12573v1 Announce Type: new Abstract: Top-k selection is a fundamental computational primitive with applications spanning databases, information retrieval, signal processing, and modern machine learning…

Source: arXiv cs.LG Tadeusz Dziarmaga, Witold Sikora, {\L}ukasz Struski, Jacek Tabor, Marcin Mazur
AI Research AI

CAKE: Compiler-Agent Co-Design for Frontier Kernel Evolution

arXiv:2608.12629v1 Announce Type: new Abstract: GPU kernel agents and GPU programming languages have advanced separately, leaving expert kernels difficult to reproduce. Agents usually treat the compiler as a fixed black…

Source: arXiv cs.LG Zihao Ye, Yingyi Huang, Hongyi Jin, Bohan Hou, Junru Shao, Zhongming Yu, Jinqi Chen, Meghan Cowan, Shiyi Cao, Shanli Xing, Hanfeng Chen, Vinod Grover, Tianqi Chen, Luis Ceze
AI Research AI

A Probe Direction Is a Property of Its Prompt

arXiv:2608.13329v1 Announce Type: new Abstract: A model that behaves differently when it senses it is being tested would undermine the evaluations we rely on, so recent work has sought to read that sense directly from a…

Source: arXiv cs.LG Valentin No\"el
AI Research AI

Cueless EEG imagined speech for subject identification: dataset and benchmarks

arXiv:2501.09700v2 Announce Type: replace Abstract: Electroencephalogram (EEG) signals have emerged as a promising modality for biometric identification. While previous studies have explored the use of imagined speech…

Source: arXiv cs.LG Ali Derakhshesh, Zahra Dehghanian, Reza Ebrahimpour, Hamid R. Rabiee
AI Research AI

Regularization can make diffusion models more efficient

arXiv:2502.09151v4 Announce Type: replace Abstract: Diffusion models are one of the key architectures of generative AI. Their main drawback, however, is the computational costs. This study indicates that the concept of…

Source: arXiv cs.LG Mahsa Taheri, Johannes Lederer
AI Research AI

The Optimal Sample Complexity of Multiclass and List Learning

arXiv:2604.24749v2 Announce Type: replace Abstract: While the optimal sample complexity of binary classification in terms of the VC dimension is well-established, determining the optimal sample complexity of multiclass…

Source: arXiv cs.LG Chirag Pabbaraju
AI Research AI

Which Decisions Low-Bit Quantization Breaks, and How to Predict Them

arXiv:2608.06564v3 Announce Type: replace Abstract: Quantization is known to hurt below four bits, but nobody can say which of a model's decisions will change at a given bit-width. This matters most where a model acts…

Source: arXiv cs.LG Zekun Wu, Swati Dhiman, Adriano Koshiyama
AI Research AI

Intern-S2-Preview: Scientific Agentic Foundation Model

arXiv:2608.13505v1 Announce Type: new Abstract: Scientific discovery increasingly requires AI systems that can reason over scientific evidence of heterogeneous modalities, interact with scientific tools and…

Source: arXiv cs.LG Lei Bai, Jiaqi Cao, Chiyu Chen, Guanzhou Chen, Kai Chen, Guangran Cheng, Erfei Cui, Xuanlang Dai, Shengyuan Ding, Shangheng Du, Yanhui Duan, Yue Fan, Youqing Fang, Quan Gan, Yuanyuan Gao, Jiaye Ge, L…
AI Research AI

Beckmann Transport Models: From Autonomous Flows to One-Step Maps

arXiv:2608.01692v3 Announce Type: replace Abstract: We propose an instantiation of flow matching that relies on a time-independent velocity field (an \emph{autonomous flow}) to exactly map between two distributions, so…

Source: arXiv cs.LG Lee Cheuk-Kit, Florentin Coeurdoux, Yuyuan Chen, Sophia Tang, Peter Potaptchik, Yilun Du, Michael Samuel Albergo, Eric Vanden-Eijnden
AI Research AI

Bagging Robustly Learns VC Classes with Linear Sample Complexity

arXiv:2608.13514v1 Announce Type: cross Abstract: We revisit the problem of learning predictors robust to adversarial examples at test-time. We prove that VC classes are adversarially robustly learnable with sample…

Source: arXiv cs.LG Omar Montasser
AI Research AI

Interpretable Causal Discovery via Causal-Effect Constraints

arXiv:2608.12640v1 Announce Type: new Abstract: Causal discovery aims to uncover the underlying causal relationships given data generated from a system. The goal, however, is not merely to predict causal edges given…

Source: arXiv cs.LG Cixuan Zhang, Guy Van den Broeck, Benjie Wang
AI Research AI

History-informed Lagrangian Neural Networks

arXiv:2608.13215v1 Announce Type: new Abstract: Forecasting the long-horizon evolution of mechanical systems from position-only observations is a pivotal yet difficult task, as hidden velocities and trajectory-specific…

Source: arXiv cs.LG Tianshuo Zhang, Xianglei Xing, Wenzhe Zhai, Jia Gao, He Cao
AI Research AI

Task- and dataset-specific information in protein language models

arXiv:2608.12090v2 Announce Type: replace Abstract: Protein language models (PLMs) have transferred the latest advances from natural language processing to computational biology. These models, trained on large corpora…

Source: arXiv cs.LG Roman Joeres, Ilya Senatorov, Anastasia Kolchina, Dietrich Klakow, Olga V. Kalinina
AI Research AI

DiffGRM: Diffusion-based Generative Recommendation Model

arXiv:2510.21805v2 Announce Type: replace-cross Abstract: Generative recommendation (GR) is an emerging paradigm that represents each item via a tokenizer as an n-digit semantic ID (SID) and predicts the next item by…

Source: arXiv cs.LG Zhao Liu, Yichen Zhu, Yiqing Yang, Xiao Lv, Guoping Tang, Rui Huang, Qiang Luo, Ruiming Tang, Kun Gai, Guorui Zhou
AI Research AI

Intervention-Aware Clinical World Model for Post-Op Outcome Forecasting in Cardiology

arXiv:2608.13518v1 Announce Type: new Abstract: Many clinical prediction models treat post-intervention outcomes as a one-step mapping from baseline measurements to a future endpoint. However, recovery after a procedure…

Source: arXiv cs.LG Yunsung Chung, Yingshuo Liu, Abboud F. Hassan, Han Feng, Mary M. Maleckar, Nassir Marrouche, Jihun Hamm
AI Research AI

Federated Compositional Muon Optimizer for Matrix-Wise Models

arXiv:2608.12710v1 Announce Type: new Abstract: Muon, a more recently developed optimizer, is useful for matrix-wise models in AI areas. Although many works have studied Muon and its variants, these methods are still…

Source: arXiv cs.LG Wang Yan, Feihu Huang
AI Research AI

Reinforcement Learning with Pairwise Preferences in Long-Term Decision Problems

arXiv:2606.00367v2 Announce Type: replace Abstract: Reinforcement learning with scalar rewards is widely used for aligning machine-learning systems with user preferences. But, pairwise preferences are often more natural…

Source: arXiv cs.LG Jonathan Cola\c{c}o Carr, Prakash Panangaden, Doina Precup, Benjamin Van Roy
AI Research AI

MLLM-Routed Heterogeneous Ensembles for Robust Cross-Dataset Image Classification

arXiv:2608.13463v1 Announce Type: cross Abstract: Modern image classification models excel when trained on single task-specific datasets but often struggle to generalize across domains and difficulty levels. We propose…

Source: arXiv cs.LG Daniel Perkins, John Squires, Janou Milligan, Chandra Raskoti, Linda Ungerboeck
AI Research AI

Bayesian Distributional Models of Executive Functioning

arXiv:2510.00387v4 Announce Type: replace Abstract: This study uses controlled simulations with known ground-truth parameters to evaluate how Distributional Latent Variable Models (DLVM) and Bayesian Distributional…

Source: arXiv cs.LG Robert Kasumba, Zeyu Lu, Dom CP Marticorena, Mingyang Zhong, Paul Beggs, Anja Pahor, Geetha Ramani, Imani Goffney, Susanne M Jaeggi, Aaron R Seitz, Jacob R Gardner, Dennis L Barbour
AI Research AI

Foundations of Independent Component Analysis

arXiv:2608.13229v1 Announce Type: cross Abstract: We present the mathematical foundations of linear independent component analysis (ICA) models based on standard literature in a self-contained note. It is aimed at…

Source: arXiv cs.LG Patrick Forr\'e
AI Research AI

Fast Length-Squared Sampling for Positive-Semidefinite Matrices

arXiv:2608.12503v1 Announce Type: cross Abstract: We describe a simple rejection-sampling-based algorithm to perform length-squared sampling on an $n \times n$ positive-semidefinite (psd) matrix: that is, to sample a…

Source: arXiv cs.LG Rajarshi Bhattacharjee, Ethan N. Epperly, Cameron Musco, Aaron Tian
AI Research AI

Variance Reduction Based Experience Replay for Policy Optimization

arXiv:2602.05379v2 Announce Type: replace-cross Abstract: Effective reinforcement learning (RL) for complex stochastic systems requires leveraging historical data to improve sample efficiency and accelerate policy…

Source: arXiv cs.LG Hua Zheng, Wei Xie, M. Ben Feng, Keilung Choy
AI Research AI

Liquidity-Based Audit of Algorithmic Trading Strategies

arXiv:2606.29018v2 Announce Type: replace-cross Abstract: We show that net demand for liquidity by algo strategies is identifiable from its trade and price history alone, with no knowledge of its signal or optimization…

Source: arXiv cs.LG Irene Aldridge
AI Research AI

SDS-LoRA: Overcoming Anisotropic Gradient Scaling in Low-Rank Adaptation

arXiv:2606.16454v2 Announce Type: replace Abstract: Low-Rank Adaptation (LoRA) enables efficient adaptation of large pretrained models to downstream tasks by parameterizing weight updates with low-rank matrices. In this…

Source: arXiv cs.LG Junghun Oh, Sungyong Baik, Kyoung Mu Lee
AI Research AI

Accelerated Markov Chain Monte Carlo Algorithms on Discrete States

arXiv:2505.12599v3 Announce Type: replace-cross Abstract: We propose a class of discrete state sampling algorithms based on Nesterov's accelerated gradient method, which extends the classical Metropolis-Hastings (MH)…

Source: arXiv cs.LG Bohan Zhou, Shu Liu, Xinzhe Zuo, Wuchen Li
AI Research AI

Distribution Steering via Sliced Optimal Transport Control

arXiv:2608.12828v1 Announce Type: cross Abstract: Distribution steering seeks feedback laws that drive the state law of a dynamical system between prescribed initial and terminal distributions. Optimal transport…

Source: arXiv cs.LG Kaito Ito, Anqi Dong
AI Research AI

Adaptive $k$ Nearest Neighbors Classifier via Granular Ball Computing

arXiv:2608.12903v1 Announce Type: new Abstract: The $k$-Nearest Neighbor~(KNN) algorithm is widely used across various tasks. The selection of the $k$ value is a key issue because it significantly impacts performance.…

Source: arXiv cs.LG Xiaoyu Lian, Shuyin Xia, Hongxuan He, Lifeng Shen, Guoyin Wang, Xinbo Gao
AI Research AI

TraVEL: Trajectory-Guided Video Embedding Learning for Driving-Video Retrieval

arXiv:2608.13495v1 Announce Type: cross Abstract: Efficiently retrieving relevant clips from large-scale driving logs is essential for data curation, model development, and safety analysis. Structured and rule-based…

Source: arXiv cs.LG Yi-Chung Chen, Philip Jacobson, Tom Lampo, Yiren Lu, Jin Yao, David I. Inouye, Jing Gao, Danhua Guo, Burhan Yaman
AI Research AI

Unifying Depth and Width Pruning for LLMs via Binary Knapsack Optimization

arXiv:2608.12953v1 Announce Type: cross Abstract: Structured pruning is a promising approach for compressing large language models (LLMs), yet existing methods rely heavily on greedy heuristics that produce myopic…

Source: arXiv cs.LG Palaash Goel, Ayan Sengupta, Akshay Nambi, Tanmoy Chakraborty
AI Research AI

Into the ORBIT for Time Series: Training Regimes for Foundation Models

arXiv:2608.13262v1 Announce Type: new Abstract: Time series foundation models (TSFMs) have advanced primarily through architectural innovation, while training regimes for large-scale heterogeneous corpora remain…

Source: arXiv cs.LG Hongjie Xia, Yiding Liu, Yifan Hu, Peiyuan Liu, Zewei Dong
AI Research AI

Trajectory First: A Curriculum for Discovering Diverse Policies

arXiv:2506.01568v4 Announce Type: replace Abstract: Being able to solve a task in diverse ways makes agents more robust to task variations and less prone to local optima. In this context, constrained diversity…

Source: arXiv cs.LG Cornelius V. Braun, Sayantan Auddy, Marc Toussaint
AI Research AI

MergeOver: Post-Training Token Merging for Recursive Vision Transformers

arXiv:2608.13141v1 Announce Type: cross Abstract: Vision Transformers (ViTs) demonstrate exceptional performance in computer vision but suffer from large parameter counts and quadratic computational complexity, severely…

Source: arXiv cs.LG Junseo Kim, Uraz Odyurt, Amirreza Yousefzadeh
AI Research AI

Latent On-Policy Self-Distillation

arXiv:2608.13040v1 Announce Type: new Abstract: Enabling agents to learn from experience and internalize it into their policy has become a central problem in self-evolving AI. On-policy self-distillation (OPSD) offers…

Source: arXiv cs.LG Guibin Zhang, Jiayang Lyu, Ran Sun, Xinlei Yu, Haoyu Zhao, Qibing Ren, Shuicheng Yan
AI Research AI

Safe Exploration via Policy Priors

arXiv:2601.19612v4 Announce Type: replace Abstract: Safe exploration is a key requirement for reinforcement learning (RL) agents to learn and adapt online, beyond controlled (e.g. simulated) environments. In this work,…

Source: arXiv cs.LG Manuel Wendl, Yarden As, Manish Prajapat, Anton Pollak, Stelian Coros, Andreas Krause
AI Research AI

RadarGen: Automotive Radar Point Cloud Generation from Cameras

arXiv:2512.17897v2 Announce Type: replace-cross Abstract: We present RadarGen, a diffusion model for synthesizing realistic automotive radar point clouds from multi-view camera imagery. RadarGen adapts efficient…

Source: arXiv cs.LG Tomer Borreda, Fangqiang Ding, Sanja Fidler, Shengyu Huang, Or Litany
Algorithms

Testing Properties of Edge Distributions

arXiv:2603.22702v2 Announce Type: replace Abstract: We initiate the study of distribution testing for probability distributions over the edges of a graph, motivated by the closely related question of…

Source: arXiv cs.DS Yumou Fei
Algorithms

Triangle-Free Coloring in LOCAL via Resilient Lov\'asz Local Lemma

arXiv:2608.13357v1 Announce Type: cross Abstract: The Lov\'asz Local Lemma (LLL) is a probabilistic tool that has been shown to be of central importance in the study of distributed algorithms. For example, the…

Source: arXiv cs.DS Peter Davies-Peck, Xusheng Zhang
Algorithms

Unlocking Fractional Moments in Delphic Set Streams

arXiv:2608.13126v1 Announce Type: new Abstract: We consider estimation of non-integer frequency moments $F_k$ and related Bernstein-type statistics in the Delphic set stream model under a bounded-frequency assumption:…

Source: arXiv cs.DS Aranya Kumar Bal, Sourav Chakraborty, Arijit Ghosh, Rudrayan Kundu
Algorithms

Satisfactory Budget Division

arXiv:2502.00484v2 Announce Type: replace-cross Abstract: A divisible budget must be allocated to several projects, and agents are asked for their opinion on how much they would give to each project. We consider that an…

Source: arXiv cs.DS Laurent Gourv\`es, Michael Lampis, Nikolaos Melissinos, Aris Pagourtzis
Algorithms

Tight Adaptive Bounds for Convex Hulls

arXiv:2512.06559v2 Announce Type: replace-cross Abstract: Adaptive sorting algorithms exploit existing order in the input to obtain better-than-worst-case running times. A classical example is sorting by runs: if the…

Source: arXiv cs.DS Ivor van der Hoog, Eva Rotenberg, Daniel Rutschmann
Algorithms

The Cost of Changing Edges for Diameter Computation and More

arXiv:2608.12628v1 Announce Type: new Abstract: The sensitivity setting is a restricted setting for dynamic algorithms, particularly practical for scenarios where extensive preprocessing is feasible but responses to…

Source: arXiv cs.DS Sam Hiken, Yael Kirkpatrick, Jakob Nogler, Virginia Vassilevska Williams
Algorithms

Sublinear Time Eigenvector Approximation via Column Sampling

arXiv:2608.00840v2 Announce Type: replace Abstract: We study sublinear time sampling methods for approximating the outlying eigenvectors of large matrices. Our main result is an algorithm that uniformly samples just…

Source: arXiv cs.DS Rajarshi Bhattacharjee, Cameron Musco, Dominic Rutkowski
Algorithms

Efficient Randomized LL/SC that Preserves History Independence

arXiv:2608.12946v1 Announce Type: cross Abstract: We study the fundamental problem of implementing $m$ linearizable LL/SC objects with constant expected step complexity in a system of $n$ processes, using bounded base…

Source: arXiv cs.DS Dante Bencivenga, Homa Habashi, Philipp Woelfel
Algorithms

Solving Square-Submatrix Equation Systems

arXiv:2608.13408v1 Announce Type: new Abstract: We consider systems of submatrix equations, that is, sets of equality constraints over square submatrices of the input. By generalising the recursive algorithm of…

Source: arXiv cs.DS Lorenzo Carfagna, Giovanni Manzini
Algorithms

Online balancing of vectors with small coordinates

arXiv:2608.12490v1 Announce Type: cross Abstract: Let $v_1,\ldots,v_T\in B_2^m$ be fixed in advance and revealed sequentially, and assume that $\|v_t\|_\infty\leqslant d^{-1/2}$ for some $d\geqslant 1$ and every…

Source: arXiv cs.DS Antonios Hmadi
Algorithms

Three trees suffice for a constant stretch in minor-free graphs

arXiv:2608.13508v1 Announce Type: new Abstract: In this short note, we show that $H$-minor-free graphs have a tree cover with $3$ trees and constant stretch for any fixed graph $H$. The number of trees matches the…

Source: arXiv cs.DS Hung Le, Huy Pham, Cuong Than, Tuan Tran
Algorithms

Compact Path Representation in DAGs via Colored Edge Pebbling

arXiv:2608.13480v1 Announce Type: new Abstract: Compactly representing a variation graph is a core problem in computational pangenomics that is usually attacked with techniques that have been originated on texts and…

Source: arXiv cs.DS Paola Bonizzoni, Alessio Conte, Gianluca Della Vedova, Younan Gao, Roberto Grossi, Brian Riccardi
Algorithms

Lindbladian Simulation with Commutator Bounds

arXiv:2603.28602v2 Announce Type: replace-cross Abstract: Trotter decomposition provides a simple approach to simulating open quantum systems by decomposing the Lindbladian into a sum of individual terms. While it is…

Source: arXiv cs.DS Xinzhao Wang, Shuo Zhou, Xiaoyang Wang, Yi-Cong Zheng, Shengyu Zhang, Tongyang Li
Algorithms

Arithmetic Variable LogLog: Advancing the Memory-Variance Frontier

arXiv:2608.12575v1 Announce Type: new Abstract: Cardinality estimation - counting the number of distinct elements in a data stream - requires a tradeoff between memory and accuracy. ExaLogLog recently established the…

Source: arXiv cs.DS Brian Bushnell
Algorithms

Minimum eccentricity shortest paths of $K_{2,3}$-minor-free graphs

arXiv:2608.13158v1 Announce Type: new Abstract: Given a simple, undirected, and unweighted graph $G$, and an integer $R$, the objective of the \textsc{Minimum Eccentricity Shortest Path (MESP)} is to decide whether…

Source: arXiv cs.DS Dibyayan Chakraborty, Sandip Das, Sk Samim Islam, Ritam Manna Mitra, Saumya Sen
Algorithms

Patching leaky tunnels in BWTs

arXiv:2608.01387v2 Announce Type: replace Abstract: We extend Baier's foundationial work on tunnelling Burrows-Wheeler Transforms (BWTs) by showing how something that would be a good tunnel except for a strings that…

Source: arXiv cs.DS Paola Bonizzoni, Davide Cozzi, Travis Gagie, Younan Gao, Ragnar Groot Koerkamp
Algorithms

Hit-and-Run Mixes as Fast as the Ball Walk

arXiv:2608.13487v1 Announce Type: new Abstract: Let $K\subset\mathbb{R}^n$ be an isotropic convex body. We prove that the hit-and-run walk, started from any $M$-warm distribution, reaches total-variation distance…

Source: arXiv cs.DS Ruizhe Zhang
Algorithms

On the Gap of Finite Posets

arXiv:2608.12678v1 Announce Type: cross Abstract: Let $P$ be a finite nonempty poset with $n$ elements, let $f:P\to\{1,\ldots,n\}$ be a uniformly random order-preserving bijection, and put $h_P(x)=\mathbb E[f(x)]$.…

Source: arXiv cs.DM Alireza Haqi
Algorithms

On the Structure of $(\min,+)$ Convolution

arXiv:2608.13310v1 Announce Type: cross Abstract: The $(\min,+)$ convolution is a central problem in fine-grained complexity, and whether it admits a truly subquadratic algorithm remains open. We study it through…

Source: arXiv cs.DM Huanyi Zhou
Algorithms

A relaxation of the Bermond-Thomassen conjecture

arXiv:2608.12948v1 Announce Type: cross Abstract: The well-known Bermond-Thomassen conjecture states that every digraph of minimum out-degree at least $2k-1$ contains $k$ vertex-disjoint directed cycles. Despite being…

Source: arXiv cs.DM St\'ephane Bessy, Matthijs Muis, Jean-S\'ebastien Sereni, Raphael Steiner, Sebastian Wiederrecht
Algorithms

Metropolis-Hastings Sampling of Phylogenetic Networks: Correcting for Symmetries

arXiv:2608.12430v1 Announce Type: new Abstract: In phylogenetics, Metropolis-Hastings methods are commonly used to sample phylogenetic trees or networks, for example from Bayesian posteriors. These methods generally use…

Source: arXiv cs.DM Leo van Iersel, Remie Janssen, Mark Jones, Yukihiro Murakami, Christopher Reichling
AI Research AI

Learning Latency-Aware Orchestration for Multi-Agent Systems

arXiv:2601.10560v2 Announce Type: replace-cross Abstract: Multi-agent systems (MAS) coordinate multiple LLM-powered agents through structured workflows, gaining reasoning power but incurring high inference latency from…

Source: arXiv cs.CL Xi Shi, Mengxin Zheng, Qian Lou
AI Research AI

GEM: A Generative Embedding Model Bridging Reasoning and Retrieval

arXiv:2608.13200v1 Announce Type: new Abstract: Modern LLMs excel at reasoning and instruction following, enabling users to express complex and diverse information needs. However, conventional retrievers largely rely on…

Source: arXiv cs.CL Zhili Shen, Craig Macdonald
AI Research AI

When Large Language Models are More PersuasiveThan Incentivized Humans, and Why

arXiv:2505.09662v4 Announce Type: replace Abstract: Large Language Models (LLMs) have been shown to be highly persuasive, but when and why they outperform humans is still an open question. We compare the persuasiveness…

Source: arXiv cs.CL Jiacheng Liu, Francesco Salvi, Philipp Schoenegger, Xiaoli Nan, Ramit Debnath, Barbara Fasolo, Evelina Leivada, Gabriel Recchia, Fritz G\"unther, Ali Zarifhonarvar, Joe Kwon, Zahoor Ul Islam, Marco D…
AI Research AI

StorySpark: Module-wise Evolutionary Search for Story Premise Generation

arXiv:2608.12336v1 Announce Type: new Abstract: A story premise is the creative spark from which a full narrative can grow. Yet LLM-based story generation has mostly emphasized later-stage planning, controllability,…

Source: arXiv cs.CL Yang Yang, Zining Zhong, Qian Cao, Jindong Li, Boyun Xu, Kaishen Yuan, Menglin Yang, Yutao Yue
AI Research AI

Intensional Anaphora

arXiv:2608.12598v1 Announce Type: new Abstract: Intensional operators are often treated as quantifiers over possible worlds, parallel to the treatment of determiners as quantifiers over individuals. Yet individuals…

Source: arXiv cs.CL Ezra Keshet, Steven Abney
AI Research AI

Refusing Intent, Not Form: Wrapper-Based Intent-Group Supervision for LLM Safety

arXiv:2608.13304v1 Announce Type: new Abstract: Safety tuning can improve harmful refusal, but models may learn surface-form shortcuts: wrapped harmful prompts bypass safety, while similarly wrapped benign prompts are…

Source: arXiv cs.CL Ping Wu, Haibo Tong, Feifei Zhao, Han Shen, Yu Shi, Yilin Zhao, Sicheng Shen, Guobin Shen, Yun Luo, Yi Zeng
AI Research AI

Query Timing Produces Opposite Positional Biases Between LLMs and Humans

arXiv:2608.12387v1 Announce Type: new Abstract: Positional biases such as recency and primacy effects have been documented in large language models (LLMs), yet the underlying mechanism by which these models make their…

Source: arXiv cs.CL Jasin Cekinmez, Addison J. Wu, Thomas L. Griffiths
AI Research AI

Comparing Architectures for Supervised Political Scaling

arXiv:2607.01464v2 Announce Type: replace Abstract: Text scaling, the task of positioning political actors on an ideological scale, is a fundamental task in political analysis. To ease the need for manual analysis,…

Source: arXiv cs.CL Anna Golub, Sebastian Pad\'o
AI Research AI

It's How You Ask: Gender-Associated Linguistic Bias in LLMs

arXiv:2608.13328v1 Announce Type: new Abstract: Professional communication is increasingly mediated by LLMs - but do these models serve all users equally? We show that when prompts contain linguistic features more…

Source: arXiv cs.CL Katherine Van Koevering, Anjalie Field
AI Research AI

Vision-Language Models are Fragile Multilingual Associators

arXiv:2608.12333v1 Announce Type: new Abstract: Vision-language models must associate visual entities with textual attributes. Whether these associations or concept bindings remain stable when the language of the input…

Source: arXiv cs.CL Ritabrata Chakraborty, Rajatsubhra Chakraborty, Shivakumara Palaiahnakote, Angelo Cangelosi, Umapada Pal
AI Research AI

Is this Citation on Point?

arXiv:2608.12571v1 Announce Type: cross Abstract: In 2023, a New York judge sanctioned two attorneys in Mata v. Avianca for filing a brief with hallucinated citations generated by ChatGPT. Such failures are largely…

Source: arXiv cs.CL Apurv Verma
AI Research AI

PatientAct: Theory-Grounded Mental Health Client Simulation

arXiv:2608.12750v1 Announce Type: new Abstract: LLM-based simulated clients are increasingly used to train novice counselors, evaluate LLM therapists, and generate synthetic data. However, current simulators produce…

Source: arXiv cs.CL Sahand Sabour, TszYam NG, Yaqian Chen, Guanqun Bi, Jialu Zhao, Minlie Huang
AI Research AI

Diagnostic Foundation for Evaluating LLMs' Research Integrity as Co-Scientists

arXiv:2608.12345v1 Announce Type: cross Abstract: Language models are increasingly deployed as co-scientists, yet their ability to uphold research integrity under institutional pressure remains unmeasured. We introduce…

Source: arXiv cs.CL Yash Tripathi, Silu Sharma, Sai Sidhanth Manoharan Jayanthi, Shivank Garg, Lin Li
AI Research AI

The Embedder's Dilemma: LLMs Are Better, but at What Cost?

arXiv:2608.12875v1 Announce Type: new Abstract: Should you replace your text-embedding pipeline with a large language model? We answer this with a controlled, cost-aware comparison of ten LLMs across six families and 26…

Source: arXiv cs.CL Adnan El Assadi, Niklas Muennighoff, Jinhyuk Lee
AI Research AI

Pandora: Leveraging Code-driven Knowledge Transfer for Unified Structured Knowledge Reasoning

arXiv:2508.17905v2 Announce Type: replace Abstract: Unified Structured Knowledge Reasoning (USKR) aims to answer natural language questions by using structured sources such as tables, databases, and knowledge graphs in…

Source: arXiv cs.CL Yongrui Chen, Junhao He, Linbo Fu, Shenyu Zhang, Rihui Jin, Xinbang Dai, Jiaqi Li, Dehai Min, Nan Hu, Yuxin Zhang, Guilin Qi, Yi Huang, Tongtong Wu
AI Research AI

Agentic Aggregation for Parallel Scaling of Long-Horizon Agentic Tasks

arXiv:2604.11753v2 Announce Type: replace Abstract: We study parallel test-time scaling for long-horizon agentic tasks such as agentic search and deep research, where multiple rollouts are generated in parallel and…

Source: arXiv cs.CL Yoonsang Lee, Howard Yen, Xi Ye, Danqi Chen
AI Research AI

SEMA: Simple yet Effective Learning for Multi-Turn Jailbreak Attacks

arXiv:2602.06854v2 Announce Type: replace Abstract: Multi-turn jailbreaks capture the real threat model for safety-aligned chatbots, where single-turn attacks are merely a special case. Yet existing approaches break…

Source: arXiv cs.CL Mingqian Feng, Xiaodong Liu, Weiwei Yang, Jialin Song, Xuekai Zhu, Chenliang Xu, Jianfeng Gao
AI Research AI

OmniScientist: An Omni-Modal Omni-Discipline AI Scientist

arXiv:2608.13558v1 Announce Type: cross Abstract: Recent advances in foundation models have enabled AI scientists to automate increasingly complete research workflows, from hypothesis generation and code execution to…

Source: arXiv cs.CL Bobo Li, Hao Fei, Tianjie Ju, Mong-Li Lee, Wynne Hsu
AI Research AI

AutoDesign: Meta-Harness Optimization for Long-Horizon Agentic Design

arXiv:2608.13560v1 Announce Type: cross Abstract: Transforming multimodal sources into condensed and structured media outputs can be fundamentally conceptualized as a long-horizon agentic process centered on a…

Source: arXiv cs.CL Yaxin Luo, Haobin Jiang, Jialv Zou, Xu Huang, Wenhao Yan, Haodong Li, Zhengrong Yue, Jing Li, Xiaofu Chen, Xiaohan Zhao, Jiacheng Liu, Jiacheng Cui, Zhiqiang Shen, Xiaotong Li
AI Research AI

QUIETT: Query-Independent Table Transformation for Robust Reasoning

arXiv:2602.20017v2 Announce Type: replace Abstract: Real-world tables often contain schema inconsistencies, heterogeneous value formats, and implicit relational structures that degrade table reasoning and question…

Source: arXiv cs.CL Gaurav Najpande, Tampu Ravi Kumar, Manan Roy Choudhury, Neha Valeti, Yanjie Fu, Vivek Gupta
AI Research AI

SLAyiNG: A Diverse and Community-validated Dataset of Queer Slang

arXiv:2509.17449v2 Announce Type: replace Abstract: Queer vernacular is rarely studied in NLP, despite advancements in resources and evaluation for other sociolects and informal language. Because of this, NLP systems…

Source: arXiv cs.CL Leonor Veloso, Lea Hirlimann, Lucija Mihi\'c Zidar, Philipp Wicke, Valentin Hofmann, Hinrich Sch\"utze
AI Research AI

TCS-BENCH: Benchmarking State-of-the-Art Generative AI Theoretical Computer Science Research Ability

arXiv:2608.09538v2 Announce Type: replace Abstract: We introduce TCS-Bench, a benchmark for evaluating Large Language Models (LLMs) on research-level Theoretical Computer Science (TCS) proof generation. TCS-Bench…

Source: arXiv cs.CL Vincent Cohen-Addad, Dimitris Paparas, Ernest van Wijland, Max Springer, Julien Canitrot-Paradis, Honghao Lin, David Woodruff, Adarsh Kumarappan, Rajesh Jayaram, Rudrajit Das, Lalit Jain, Ola Svensso…
AI Research AI

Mawqif-XT: An Arabic Benchmark Dataset for Cross-Target Stance Detection

arXiv:2608.09539v2 Announce Type: replace Abstract: Publicly available Arabic datasets for target-specific stance detection remain limited, particularly for evaluating cross-target generalization. This paper presents…

Source: arXiv cs.CL Rasha Albalawi, Nuha Albadi, Hamzah Luqman, Maram Kurdi, Saad Ezzini, Asma Yamani, Ahmed Ashraf
AI Research AI

Measuring Task-Agnostic Training Data Influence Across Language Model Pretraining

arXiv:2608.13515v1 Announce Type: new Abstract: Measuring training data influence consistently across language model pretraining is challenging. It is difficult to select downstream tasks or validation sets…

Source: arXiv cs.CL Yuto Nishida, Hirokazu Kiyomaru, Yusuke Oda, Takashi Kodama, Chaoran Liu, Daisuke Kawahara, Yusuke Miyao, Max M\"uller-Eberstein, Masaru Isonuma
AI Research AI

On Measuring Semantic Preservation in Legal Ontology Learning

arXiv:2608.12326v1 Announce Type: new Abstract: Ontology learning transforms unstructured text into structured representations for automated reasoning. Yet structuring information risks losing it, and current evaluation…

Source: arXiv cs.CL Albert Sadowski, Jaros{\l}aw A. Chudziak
AI Research AI

Beyond Retrieval: Query-Conditioned Reuse of Long-Horizon Agent Trajectories

arXiv:2608.12847v1 Announce Type: cross Abstract: Retrieval can identify a past trajectory that may matter, yet it does not specify how an acting agent should use that trajectory after users, entities, constraints, or…

Source: arXiv cs.CL Yifei Li, Heng Wang, Lingling Zhang, Muye Huang, Xinyu Zhang, Jiashuai Liu, Hang Yan, Rongman Xu
AI Research AI

Unmasking Conversational Bias in AI Multiagent Systems

arXiv:2501.14844v3 Announce Type: replace Abstract: Detecting biases in the outputs produced by generative models is essential to reduce the potential risks associated with their application in critical settings.…

Source: arXiv cs.CL Erica Coppolillo, Giuseppe Manco, Luca Maria Aiello
AI Research AI

From Observation to Intervention: Memory in Brains and Large Language Models

arXiv:2608.12377v1 Announce Type: cross Abstract: Brains and large language models (LLMs) are fundamentally different memory systems, but they can be compared through shared functional questions: where memory-related…

Source: arXiv cs.CL Morteza Salehjahromi, Shayan A. Zadegan, Amgad Muneer, Jia Wu
AI Research AI

ERSkill: Evolving for Skill-Guided Adaptive Memory Retrieval

arXiv:2608.12720v1 Announce Type: new Abstract: While Large Language Model (LLM) agents increasingly rely on long-term memory for persistent interactions, the retrieval mechanisms governing this memory are rarely…

Source: arXiv cs.CL Haolong Chen, Liang Zhang, Zhuo Li, Lei Xue, Guanrxu Zhu
AI Research AI

Decoupled Contrastive Decoding via Expert-Aligned Drafting

arXiv:2608.12913v1 Announce Type: new Abstract: Contrastive Decoding (CD) improves generation quality, but its amateur-model pass makes decoding expensive. Accelerating CD with speculative decoding raises a…

Source: arXiv cs.CL Zhixuan Liu, Zhichen Dong, Yuanfu Wang, Chao Yang
AI Research AI

Revolutionizing Finance with LLMs: An Overview of Applications and Insights

arXiv:2401.11641v5 Announce Type: replace Abstract: In recent years, Large Language Models (LLMs) like ChatGPT have seen considerable advancements and have been applied in diverse fields. Built on the Transformer…

Source: arXiv cs.CL Huaqin Zhao, Zhengliang Liu, Zihao Wu, Yiwei Li, Tianze Yang, Peng Shu, Shaochen Xu, Haixing Dai, Lin Zhao, Hanqi Jiang, Yi Pan, Junhao Chen, Yifan Zhou, Zheyuan Zhang, Zeyu Zhang, Ruitong Sun, Gengc…
AI Research AI

AQuA: Recursively Self-Improving Quantitative Trading Research Agents

arXiv:2608.12841v1 Announce Type: new Abstract: We study recursive self-improvement at the level of quantitative-investment research: whether an autonomous system can use evidence from earlier experiments to improve the…

Source: arXiv cs.CL Jiacheng Guo, Suozhi Huang, Yunlong Gao, Zihao Li, Jian Ge, Xu Kuang, Mengdi Wang
AI Research AI

SDAM: Structure-Difference-Aware Memory Evolution for Complex Text-to-SQL

arXiv:2608.12338v1 Announce Type: new Abstract: Text-to-SQL aims to convert natural language questions into executable SQL queries. While memory-based agent system improves complex SQL generation, existing memory design…

Source: arXiv cs.CL Keyan Xu, Dingzirui Wang, Xuanliang Zhang, Qingfu Zhu, Wanxiang Che
AI Research AI

MARC v1: An Open-Source Multi-Agent Framework for Clinical AI Reasoning and Coordination

arXiv:2608.13476v1 Announce Type: cross Abstract: We present Multi-Agent Reasoning and Coordination (MARC), an open-source framework that replaces monolithic LLM prompting with deterministic multi-agent orchestration…

Source: arXiv cs.CL Saisha Shetty, Satvik Tripathi, Austin Lin, Colin Zhao, Theodore Kim, Don Enwerem, Jacinta Arnold, Shahriar Faghani, Tessa S Cook
AI Research AI

Large Language Models Persuade Without Planning Theory of Mind

arXiv:2602.17045v2 Announce Type: replace Abstract: A growing body of work attempts to evaluate the theory of mind (ToM) abilities of humans and large language models (LLMs) using static, non-interactive…

Source: arXiv cs.CL Jared Moore, Rasmus Overmark, Ned Cooper, Beba Cibralic, Nick Haber, Cameron R. Jones
AI Research AI

The "Knowledge-Behavior Gap" in Cultural Taboo Safety of Large Language Models

arXiv:2608.12341v1 Announce Type: new Abstract: Cultural taboo safety is essential for deploying large language models (LLMs), as culturally insensitive outputs may cause offense or even social harm. However, existing…

Source: arXiv cs.CL Ying He, Sihang Jiang, Xingzhou Chen, Zhouhong Gu, Yiwei Gu, Minggui He, Shimin Tao, Hongxia Ma, Yanghua Xiao
AI Research AI

Token Reduction Is Not Cost Reduction

arXiv:2607.12161v5 Announce Type: replace Abstract: Token-reduction tools for coding agents are often evaluated by the number of tokens they remove, but token count alone does not determine end-to-end inference cost. We…

Source: arXiv cs.CL Sarel Weinberger, Amir Hozez
AI Research AI

CoLA: Cross-Modal Low-rank Adaptation for Multimodal Downstream Tasks

arXiv:2604.03314v3 Announce Type: replace-cross Abstract: Foundation models have revolutionized AI, but adapting them efficiently for multimodal tasks, particularly in dual-stream architectures composed of unimodal…

Source: arXiv cs.CL Wish Suharitdamrong, Tony Alex, Muhammad Awais, Sara Atito
AI Research AI

Toward Federated Large Language Models in Medicine: A Parameter-Efficient Framework for Privacy-Preserving, Multi-Institutional Adaptation

arXiv:2601.22124v3 Announce Type: replace Abstract: Large language models (LLMs) are increasingly adapted for medical applications, but most are trained using data from a single institution because privacy and…

Source: arXiv cs.CL Anran Li, Yuanyuan Chen, Wenjun Long, Yu Yin, Yan Hu, Hyunjae Kim, Weipeng Zhou, Yujia Zhou, Hongyi Peng, Yang Ren, Xuguang Ai, Zhenyue Qin, Ming Hu, Xiaoxiao Li, Han Yu, Yih-Chung Tham, Lucila Ohno-…
AI Research AI

Predicting consumer-technology ownership without a diffusion history

arXiv:2608.12344v1 Announce Type: new Abstract: We test whether the perceived attributes of a consumer technology predict how widely it is owned. In a 2022 Prolific survey of US adults (n = 678), respondents rated 65…

Source: arXiv cs.CL Irina Vartanova, Niels Selling, Jennifer Viberg Johansson, Pontus Strimling
AI Research AI

AnchorSIPS: A Synthetic Dataset and Evaluation Resource for Evidence-Supported Psychosis-Risk Symptom Measurement

arXiv:2608.12329v1 Announce Type: new Abstract: Progress on AI for psychosis-risk assessment is limited by a data-access bottleneck. Real clinical interviews are difficult to share because of privacy, governance, and…

Source: arXiv cs.CL Guilherme C. Oliveira, Stephanie Fong, Zimu Wang, Clarice Lee, Xiangyu Zhao, Duy Khoa Pham, Duong Nhu, Yiwen Jiang, Jiahe Liu, Zhongxing Xu, Dwarikanath Mahapatra, Dominic Dwyer, Zongyuan Ge
AI Research AI

SoK: From Generation to Consumption of Privacy Documents in Software Systems

arXiv:2608.12511v1 Announce Type: cross Abstract: Privacy documents (e.g., privacy policies) are a central mechanism through which digital services disclose data practices and seek user consent. Over the past decades,…

Source: arXiv cs.CL Shidong Pan, Clark LaChance, Zhen Tao, Sepideh Ghanavati
AI Research AI

Beyond Local Accuracy: A Protocol-Level Identifiability Audit for Controlled LLM Reasoning Evaluation

arXiv:2608.13326v1 Announce Type: new Abstract: LLM benchmark scores can be precise even when the observation protocol does not identify the behavioral property they are intended to measure. In a controlled,…

Source: arXiv cs.CL Junhao Luo (School of Statistics,Data Science, Southwestern University of Finance,Economics), Ning Huang (School of Statistics,Data Science, Southwestern University of Finance,Economics), Ziqi Sha (S…
AI Research AI

Cat-DPO: Category-Adaptive Safety Alignment

arXiv:2604.17299v3 Announce Type: replace Abstract: Aligning large language models with human preferences must balance two competing goals: responding helpfully to legitimate requests and reliably refusing harmful ones.…

Source: arXiv cs.CL Tiankai Yang, Yi Nian, Xinyuan Li, Ruiyao Xu, Henry Peng Zou, Kaize Ding, Xiyang Hu, Yan Liu, Yue Zhao
AI Research AI

Novels generated by language models show compressed formal variation

arXiv:2608.12630v1 Announce Type: new Abstract: While large language models can generate entire novels, there is little information about the level of formal variation in their output over many generations. Rather than…

Source: arXiv cs.CL Mehdy Sedaghat Payam, Justin Quinn
AI Research AI

Masked diffusion LLMs can use EoS tokens for hidden reasoning

arXiv:2603.05197v2 Announce Type: replace Abstract: Diffusion LLMs have been proposed as an alternative to autoregressive LLMs. Curiously, they are especially capable if the generation length, i.e., the number of tokens…

Source: arXiv cs.CL Sarah Breckner, Sebastian Schuster
AI Research AI

LigBench: A Unified and Human-Aligned Benchmark for LLM-based Research Idea Generation

arXiv:2608.13136v1 Announce Type: new Abstract: With the rapid advancement of large language models (LLMs), research idea generation has attracted increasing attention. Existing approaches enable LLMs to retrieve…

Source: arXiv cs.CL Chenrun Wang, Mingxuan Zhu, Tiancheng Huang, Wenjie Li, Yujie Zhang, Zichen Zhu, Zhiying Zou, Kai Yu, Lu Chen
AI Research AI

Tracing Provenance and Detecting Tampering with Complementary LLM Watermarks

arXiv:2608.12713v1 Announce Type: cross Abstract: Watermarking LLM-generated text is an important task for tracing its provenance. Existing LLM watermarks preserve provenance under editing, but this same robustness…

Source: arXiv cs.CL Xiaoyan Feng, Yanjun Zhang, He Zhang, Leo Yu Zhang, Shirui Pan
AI Research AI

CASA: Content-Acoustic Speaking Assessment with Speech Encoder and Large Language Model

arXiv:2608.13101v1 Announce Type: new Abstract: Research on automatic speaking assessment (ASA) has increasingly adopted multimodal speech large language models to assess learners' speaking performance. However,…

Source: arXiv cs.CL Nhan Phan, Ilona L\"ahteenm\"aki, Anna von Zansen, Olli-Pekka Pauna, Yaroslav Getman, Tam\'as Gr\'osz, Mikko Kurimo
Algorithms

PSPACE-Completeness of Multi-Agent Path Finding for Large Agents

arXiv:2608.12955v1 Announce Type: new Abstract: Multi-Agent Path Finding for Large Agents (LA-MAPF) is a geometric variant of MAPF in which agents are modeled as disks and conflicts are determined by physical overlap in…

Source: arXiv cs.CC Maichi Zhang, Naoyuki Kamiyama, Kanae Yoshiwatari
Algorithms

On the Expressive Power of Transformers

arXiv:2608.12671v1 Announce Type: cross Abstract: Multi-layer transformers form the critical component of essentially all large language models (LLMs) in use today. Because of their ubiquity and computational…

Source: arXiv cs.CC Phokion Kolaitis, Rik Sengupta
JavaScript

Build First. Understand What You Build. Then Use AI to Build Faster.

A few months ago I noticed something that bugged me enough to eventually write a book about it. AI coding tools are genuinely good now. Copilot, Claude, Cursor — you can describe a feature and watch working code appear…

Source: DEV JavaScript feed Chukwuemeka Andre Ozomma
JavaScript

Parsing multi-gigabyte Outlook PST files in the browser

Disclosure up front: I build Mailward, a browser-based PST/OST/OLM/MBOX/EML viewer. These are the implementation notes. A PST file is not a folder of emails. It is a single-file B-tree database — Microsoft documents the…

Source: DEV JavaScript feed 王磊
PostgreSQL GitHub

supabase/postgres: v17.6.1.162-cli

What's Changed fix: harden post-upgrade vacuum analyze in pg_upgrade complete script by @Crispy1975 in #2356 feat: Add ORIOLEDB_ENABLED into /etc/environment.d/postgresql.env by @za-arthur in #2362 Full Changelog:…

Source: Supabase Postgres Releases github-actions[bot]
PostgreSQL GitHub

supabase/postgres: 15.14.1.162

feat: Add ORIOLEDB_ENABLED into /etc/environment.d/postgresql.env (#2362 ) database-optimizations.service ignores ORIOLEDB_ENABLED variabled, which is defined in /etc/environment. This commit adds it into…

Source: Supabase Postgres Releases github-actions[bot]
PostgreSQL GitHub

supabase/postgres: 17.6.1.162

feat: Add ORIOLEDB_ENABLED into /etc/environment.d/postgresql.env (#2362 ) database-optimizations.service ignores ORIOLEDB_ENABLED variabled, which is defined in /etc/environment. This commit adds it into…

Source: Supabase Postgres Releases github-actions[bot]
PostgreSQL GitHub

supabase/postgres: 15.14.1.162-x86

feat: Add ORIOLEDB_ENABLED into /etc/environment.d/postgresql.env (#2362 ) database-optimizations.service ignores ORIOLEDB_ENABLED variabled, which is defined in /etc/environment. This commit adds it into…

Source: Supabase Postgres Releases github-actions[bot]
PostgreSQL GitHub

supabase/postgres: 17.9.0.015-orioledb

feat: Add ORIOLEDB_ENABLED into /etc/environment.d/postgresql.env (#2362 ) database-optimizations.service ignores ORIOLEDB_ENABLED variabled, which is defined in /etc/environment. This commit adds it into…

Source: Supabase Postgres Releases github-actions[bot]
PostgreSQL GitHub

supabase/postgres: 17.9.0.015-orioledb-x86

feat: Add ORIOLEDB_ENABLED into /etc/environment.d/postgresql.env (#2362 ) database-optimizations.service ignores ORIOLEDB_ENABLED variabled, which is defined in /etc/environment. This commit adds it into…

Source: Supabase Postgres Releases github-actions[bot]
JavaScript

Technical Overview: Multimodal AI Generation in YouArt AI

Generative AI platforms are moving beyond static text-to-image outputs toward unified multimodal pipelines that handle image, video, and audio synthesis in a single web interface. A notable implementation in this space…

Source: DEV JavaScript feed jane blue
PostgreSQL GitHub

supabase/postgres: 17.6.1.162-x86

feat: Add ORIOLEDB_ENABLED into /etc/environment.d/postgresql.env (#2362 ) database-optimizations.service ignores ORIOLEDB_ENABLED variabled, which is defined in /etc/environment. This commit adds it into…

Source: Supabase Postgres Releases github-actions[bot]
React

The Next.js team is doing a Reddit AMA

#​487 — August 14, 2026 Read on the Web 🗓️ We're taking a break next week, so we're back in your inbox on August 28. __ Your editor, Peter Cooper React Status A Tour of TanStack Form v2: Now in Alpha — The headless form…

Source: React Status
DevOps

Compatibility Testing Pulumi HCL

Pulumi HCL has at its core a simple promise: A program that works for tofu apply will also work for pulumi up. This must be true to allow Terraform modules to be shared between tofu config and Pulumi programs. This…

Source: Pulumi Blog Ian Wahbe
General

eigendrum

Hacker News discussion (188 points, 53 comments)

Source: Hacker News bookofjoe
General

Show HN: Mole – Deep research agent for your terminal

Doing research with agents is fun until they blow way past budget, jumble the sources, and don't even give you the best possible answer, just sound confident. And if you want to run some research task on local data -…

Source: Hacker News lajosdeme
General

Racket v9.3

Hacker News discussion (112 points, 7 comments)

Source: Hacker News privong
General

Show HN: LuaCAD – Parametric CAD Scripted in Lua

LuaCAD models solids in Lua rather than the OpenSCAD language, with operator overloading for CSG (`a + b`, `a - b`, `a * b`). It ships with a CLI and a desktop app, including a preview area and a text editor. I've…

Source: Hacker News adius
General

AI by Hand

Hacker News discussion (331 points, 24 comments)

Source: Hacker News sans_souse
General

Introducing Toast 1

Hacker News discussion (210 points, 64 comments)

Source: Hacker News mplappert
General

Qwen 3.8 27B

Hacker News discussion (1309 points, 755 comments)

Source: Hacker News erdaltoprak
General

Earth.nullschool.net

Hacker News discussion (30 points, 13 comments)

Source: Hacker News TremendousJudge