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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.

17 Aug 2026 edition
Rust GitHub

rust-lang/rust-analyzer: 2026-08-17.4

Merge pull request #23159 from grezzko/issue#22880 fix(parser): frontmatter error path for UTF-8

Source: rust-analyzer Releases github-actions[bot]
Hardware

Iris colour detection with Raspberry Pi

This computer vision project helps explain the genetic mechanisms underlying the inheritance of eye colour. The post Iris colour detection with Raspberry Pi appeared first on Raspberry Pi.

Source: Raspberry Pi News Rob Zwetsloot
PostgreSQL GitHub

pgbackrest/pgbackrest: v2.59.1: PostgreSQL 19beta3 Support

Bug Fixes: Fix hang when the chunk buffer is smaller than the input buffer. (Reviewed by Andrew Pogrebnoi, Douglas J Hunley. Reported by crajac66.) Compare a new backup label only against its own full backup set.…

Source: pgBackRest Releases dwsteele
Java GitHub

micronaut-projects/micronaut-core: Micronaut Core 5.1.11

What's Changed Update netty monorepo to v4.2.17.Final (#12876) Bug Fixes 🐞 fix(cors): replace reference equality with value equality in isAny and isAnyMethod by @fatekingsama in #12627 fix(multipart): case-insensitive…

Source: Micronaut Core Releases sdelamo
Rust GitHub

rust-lang/rust-analyzer: 2026-08-17

Commit: bb3bbbd Release: 2026-08-17 (v0.3.3016) New Features #22325 (first contribution) support Reborrow and CoerceShared built-in derives. Fixes #23109 (first contribution) offer replace_arith_op on references, too.…

Source: rust-analyzer Releases github-actions[bot]
AI

The Defender’s Window

AI is reshaping cybersecurity for attackers and defenders alike. Learn how OpenAI is strengthening its defenses and what security teams can do now.

Source: OpenAI Blog
AI

OpenAI joins PORTS-Pike project

OpenAI joins PORTS-Pike project, expanding community investment and supporting thousands of Southern Ohio jobs

Source: OpenAI Blog
AI

New policy ideas for the Intelligence Age

OpenAI funds 14 independent projects exploring new AI policy ideas to expand economic opportunity and strengthen societal resilience in the Intelligence Age.

Source: OpenAI Blog
Rust GitHub

rust-lang/rust-analyzer: nightly

Merge pull request #23159 from grezzko/issue#22880 fix(parser): frontmatter error path for UTF-8

Source: rust-analyzer Releases github-actions[bot]
Rust

June 2026 Project Director Update

This post covers the Rust Foundation board meeting that took place on June 9, 2026. Find the full June 2026 minutes on the Foundation's site. Highlights include: Abi Broom brought a draft Donation Acceptance Policy to…

Source: Inside Rust Blog Carol Nichols and David Wood
Open Source

Security updates for Monday

Security updates have been issued by AlmaLinux (.NET 8.0, .NET 9.0, bind, dracut, freerdp, gnome-remote-desktop, kernel, and nghttp2), Debian (apr-util, docker.io, ironic, neutron, postgresql-15, unzip, and util-linux),…

Source: LWN.net jzb
JavaScript

100% client-side dev toolkit (no data leaves your browser)

I’m a web developer based in South Korea. When working on my projects, I always felt a bit uneasy pasting my code, database logs, or API payloads into random online tools. Even if the website claims they do not save…

Source: DEV JavaScript feed juicy
JavaScript

The React Search Bug That Shows Old Results and How to Fix It

This is part of a series I like to think of as Real Coding Problems, Simple Fixes. No fancy architecture. No interview puzzle. Just the kind of bug that shows up while building a normal app. Today we are fixing a very…

Source: DEV JavaScript feed Amrishkhan Sheik Abdullah
Architecture

Cloudflare Turns CI Pipelines into TypeScript Workflows

Cloudflare has released cloudflare/ci, a CI SDK that defines pipelines in TypeScript on top of Cloudflare Workflows, giving each step durable retries and replay, concurrent steps by default and Sandbox snapshot caching.…

Source: InfoQ Architecture & Design Mark Silvester
JavaScript

Go Concurrency Patterns: The Matrix of Goroutines and Channels

The Quest Begins (The "Why") Honestly, I used to think Go’s concurrency was just “spin up a goroutine and hope for the best.” I’d fire off a dozen workers, slap a sync.WaitGroup on them, and call it a day. Then one…

Source: DEV JavaScript feed Timevolt
JavaScript

7 npm packages you can delete now that the browser does it natively

Open your package.json and look at the small stuff. Not React or your framework, the little helpers: a deep clone here, a UUID there, a date library you pulled in to print "3 hours ago." A lot of those are now built…

Source: DEV JavaScript feed kshitij Bhatnagar
JavaScript

React useRef Hook

useRef Hook The useRef Hook allows you to persist values between renders. It can be used to store a mutable value that does not cause a re-render when updated. It can be used to access a DOM element directly. Does Not…

Source: DEV JavaScript feed vidhya murali
JavaScript

Webtabellen Converteren naar SQL INSERT-Statements

Je hebt een tabel op een webpagina. Je hebt het nodig in je database. De handmatige aanpak: kopiëren naar Excel, opschonen, CSV exporteren, handmatig CREATE TABLE schrijven, LOAD DATA of COPY gebruiken, fouten debuggen.…

Source: DEV JavaScript feed circobit
DevOps Open Source

How to Start Your Cloud Native Journey | Simon Forster

It's easy to feel overwhelmed as a newcomer to cloud native. CNCF Ambassador Simon Forster walks through where to begin and how the community can help. #Shorts #CloudNative #OpenSource #CNCFAmbassadors

Source: CNCF CNCF [Cloud Native Computing Foundation]
Hardware

Printing FDM Filaments that are just Plain Weird

The fun thing about thermopolymers like PLA is that you can blend in additives, some of which are necessary to make it at all usable, while so many other additives …read more

Source: Hackaday Maya Posch
AI

What happens when a kid’s robot best friend dies?

When Xander first met Moxie, she taught him that when he was anxious, he could calm down by exhaling through his lips so that he buzzed like a bee. They practiced breathing like dragons to manage feeling mad and…

Source: MIT Technology Review AI Sara Harrison
Hardware

May This Balloon Banjo Resonate With You

Most instruments, with maybe the exception of pianos, have consumable parts. Guitars need string changes, bows need rosin, saxophones need reeds. [Co:Creation Lab]’s balloon banjo requires both fishing line and …read…

Source: Hackaday Kristina Panos
JavaScript

Stop Writing Math.cos() in a Resize Listener

You've written this function before, maybe without thinking twice about it: function layoutRadial(container, radius) { const items = [...container.children]; const step = (2 * Math.PI) / items.length;…

Source: DEV JavaScript feed Parsa Jiravand
JavaScript

Supabase in Vue Made Simple

Supabase has become one of the most popular choices for building modern web applications. It gives you: PostgreSQL database Authentication Realtime subscriptions Storage Edge Functions TypeScript support The official…

Source: DEV JavaScript feed Jakub Andrzejewski
JavaScript

Buffer vs Uint8Array in TypeScript crypto (and why it hurts)

In Node, Buffer shows up everywhere. In the browser and on the edge, the real contract is typed arrays (Uint8Array)—and often Web Crypto. When you mix those worlds—an API on Node, a client in the browser, a Worker in…

Source: DEV JavaScript feed Alejandro Rodriguez
JavaScript

ReactJS in 2026 - Is It Still Worth Building On? A Developer's Take

Every year someone declares React "done." Every year it's still the library most teams reach for. So is that inertia, or is there an actual technical case for it in 2026? Short version: yes, if you're building anything…

Source: DEV JavaScript feed Saawahi IT Solution
JavaScript

JavaScript Week 06: Modules, Design Patterns, and Memory Management

A practical guide to CommonJS, ESM, design patterns, closures, garbage collection, memory leaks, and the Open/Closed Principle. Introduction As JavaScript applications grow, writing code that simply works is not enough.…

Source: DEV JavaScript feed Sai Swaroop Bijinapalli
Hardware

More On Wave Overhangs for 3D Printing

We’ve heard of wave overhangs before. It is a new technique for printing horizontal overhangs with no supports. Building on some other techniques like arc overhangs. The idea is to …read more

Source: Hackaday Al Williams
AI

Fixed-Budget Gaussian Volume Encoding with Structure-Aware Allocation

arXiv:2608.14112v1 Announce Type: cross Abstract: Scientific simulations often produce scalar volumes faster than they can be stored, transferred, and loaded, while in situ reduction must use only a limited share of…

Source: arXiv cs.LG Michael R. Martin, Joseph Insley, Victor A. Mateevitsi, Silvio Rizzi, Kwan-Liu Ma
AI

What preferences can - and cannot - predict in multi-agent online learning

arXiv:2608.13810v1 Announce Type: cross Abstract: We examine the interplay between ordinal, preference-based solution concepts in games and the long-run behavior of game dynamics, asking in particular to what extent the…

Source: arXiv cs.LG Omar Abbadi, Rida Laraki, Panayotis Mertikopoulos
AI

XtraLight-MedMamba for Classification of Neoplastic Tubular Adenomas

arXiv:2602.04819v5 Announce Type: replace-cross Abstract: Accurate risk stratification of precancerous polyps during routine colonoscopy screening is a key strategy to reduce the incidence of colorectal cancer (CRC).…

Source: arXiv cs.LG Aqsa Sultana, Rayan Afsar, Ahmed Rahu, Surendra P. Singh, Brian Shula, Brandon Combs, Derrick Forchetti, Vijayan K. Asari
AI

Generative Modeling with Bayesian Sample Inference

arXiv:2502.07580v4 Announce Type: replace Abstract: We present a novel view of diffusion-like generative modeling from the perspective of iterative Gaussian posterior inference. By treating the generated sample as an…

Source: arXiv cs.LG Marten Lienen, Marcel Kollovieh, Stephan G\"unnemann
AI

Post-training Quantization for Hybrid Iterative Generative Models

arXiv:2608.13932v1 Announce Type: new Abstract: Iterative Generative Models (IGMs) span autoregressive and diffusion paradigms, and hybrid variants that couple them can achieve remarkable image-generation fidelity.…

Source: arXiv cs.LG Jing Gao, Junyi Wu, Wei Wang, Yan Yan, Yao Zhao
AI

ShortOPD: Recovering Pruned LLMs with Short-to-Long On-Policy Distillation

arXiv:2607.13124v2 Announce Type: replace Abstract: Structured pruning is a hardware-friendly way to compress LLMs, but it is mostly validated on multiple-choice recognition tasks, while the same compressed checkpoints…

Source: arXiv cs.LG Qingyu Zhang, Qianhao Yuan, Hongyu Lin, Yaojie Lu, Xianpei Han, Le Sun, Ming Xu, Jiarui Li
AI

BCMT: Blockwise Causal Memory Transformer

arXiv:2608.13578v1 Announce Type: cross Abstract: Transformer architectures rely on dense self-attention to model long-range dependencies, but this mechanism exhibits quadratic complexity with respect to sequence…

Source: arXiv cs.LG Rachid Arezki
AI

Multi-Objective Bayesian Optimization for Model Merging

arXiv:2608.14264v1 Announce Type: new Abstract: Model merging combines trained models directly in weight space, offering a compute-efficient alternative to additional fine-tuning. Selecting merge parameters is…

Source: arXiv cs.LG Utkarsh Agarwal, Vamshi Bonagiri, Raul Astudillo, Monojit Choudhury
AI

Learning Unsteady Aneurysm Hemodynamics with Physics-Informed DeepONets

arXiv:2608.13629v1 Announce Type: cross Abstract: Clinically actionable, patient-specific hemodynamic assessment, specifically wall shear stress, vortex structure and pressure distributions, is critical for determining…

Source: arXiv cs.LG Oscar L. Cruz-Gonzalez, Val\'erie Deplano, Badih Ghattas
AI

Sequence prediction under a lying oracle

arXiv:2608.14102v1 Announce Type: new Abstract: We consider the problem of sequential prediction of an $m$-ary sequence, where at each epoch, (i) the environment selects an outcome from an $m$-ary alphabet, (ii) the…

Source: arXiv cs.LG Puspabeethi Samanta, Nikhil Karamchandani, Jayakrishnan Nair
AI

Hybrid Quantum-inspired Kolmogorov-Arnold Networks for Privacy-Aware Federated Biosignal Learning

arXiv:2608.13914v1 Announce Type: new Abstract: Electrocardiogram (ECG) recordings are sensitive biomedical data, limiting the ability of hospitals and wearable devices to share raw signals for centralized model…

Source: arXiv cs.LG Chun-Hua Lin, Samuel Yen-Chi Chen, Yu-Chao Hsu, Kuo-Chung Peng, Jiun-Cheng Jiang, Chi-Sheng Chen, Tai-Yue Li, Nan-Yow Chen, En-Jui Kuo, Hsi-Sheng Goan
AI

Probabilistic indirect models for undrained shear strength: addressing significant data missing and variability with advanced imputation and machine learning techniques

arXiv:2608.13934v1 Announce Type: new Abstract: Accurate prediction of undrained shear strength (su) is crucial for geotechnical design, but is often hampered by substantial uncertainty in traditional empirical methods.…

Source: arXiv cs.LG Haibin Xiong, Shaoheng Dai, Peng Lan, Xuzhen He, Chenxi Tong, Sheng Zhang, Daichao Sheng
AI

Don't Claim Benchmark-Oriented Optimization Improves General Coding Capability -- Diverse Evaluation Is Required

arXiv:2608.13566v1 Announce Type: new Abstract: Post-training papers, model cards, and blog posts often treat scores on a small set of coding benchmarks (e.g., SWE-bench and LiveCodeBench) as evidence of broad coding…

Source: arXiv cs.LG Egor Shibaev, Vera Kudrevskaia, Timur Galimzyanov, Mikhail Evtikhiev, Ana Terna, Rastislav Rabatin, Timur Kudashev, Timofey Bryksin, Arina Puchkova, Patrik Bartak, Egor Bogomolov, Sergey Titov
AI

MLCC: A Congestion Control Technique to Accelerate ML Training

arXiv:2402.09589v2 Announce Type: replace-cross Abstract: We present MLCC, a novel technique to augment today's congestion control algorithms to accelerate DNN training jobs in shared GPU clusters in a fully distributed…

Source: arXiv cs.LG Anton A. Zabreyko, Sanjoli Narang, Sudarsanan Rajasekaran, Manya Ghobadi
AI

READ: A Retrieval-Alignment Diffusion Framework for Structure-based Drug Design

arXiv:2506.14488v2 Announce Type: replace-cross Abstract: Structure-based drug design (SBDD) models are central to modern pharmaceutical research, enabling the rational exploration of protein-ligand interactions at…

Source: arXiv cs.LG Dong Xu, Zhangfan Yang, Junchuang Cai, Sisi Yuan, Zexuan Zhu, Jianqiang Li, Junkai Ji
AI

Buy the Rumor, Sell the News: When Is News Priced In?

arXiv:2608.14014v1 Announce Type: cross Abstract: Two old market sayings hold that news is already priced in by the time it is published, and that the rumor is bought while the news is sold. Both place the price move…

Source: arXiv cs.LG Alireza Kargarzadeh, Nariman Khaledian, Navid Parvini, Sid Ghatak, Arman Khaledian
AI

Neural Operator-enabled Topology-informed Evolutionary Strategy for PDE-Constrained Optimization

arXiv:2607.07682v2 Announce Type: replace Abstract: The inverse design of physical systems governed by partial differential equations is computationally demanding due to the high dimensionality and non-convexity of…

Source: arXiv cs.LG Xiangming Huang (Georgia Institute of Technology), Guannan Zhang (Oak Ridge National Laboratory), Lu Lu (Yale University), Rapha\"el Pestourie (Georgia Institute of Technology)
AI

PHASE: Passive Human Activity Simulation Evaluation

arXiv:2507.13505v2 Announce Type: replace-cross Abstract: Cybersecurity simulation environments, such as cyber ranges, honeypots, and sandboxes, require realistic human behavior to be effective, yet no quantitative…

Source: arXiv cs.LG Steven Lamp, Jason D. Hiser, Anh Nguyen-Tuong, Jack W. Davidson
AI

ArGEnT: Arbitrary Geometry-encoded Transformer for Operator Learning

arXiv:2602.11626v3 Announce Type: replace Abstract: Learning solution operators on arbitrary geometries remains a central challenge in scientific machine learning, especially for many-query simulation, physics-informed…

Source: arXiv cs.LG Wenqian Chen, Zhi-Feng Wei, Yucheng Fu, Michael Penwarden, Pratanu Roy, Panos Stinis
AI

DeaMoE: Efficient MoE Structure for Fast Small-Batch Decoding

arXiv:2608.14385v1 Announce Type: new Abstract: Mixture-of-Experts (MoE) models have been widely adopted in real-time interactive applications such as coding assistants, real-time audio-video interaction systems. To…

Source: arXiv cs.LG Zewen Jin, Shen Fu, Zeping Duan, Shannon Wang, Weihao Wu, Chengjie Tang, Congkun Ai, Ping Gong, Zijian Dai, Youhui Bai, Cheng Li
AI

hint$^2$: Hierarchical World Models for Inference-Time Temporal Logic Guidance

arXiv:2608.13678v1 Announce Type: cross Abstract: A central goal of robot learning is to enable robots to execute rich instructions specified at runtime. Large-scale language-conditioned policies have made substantial…

Source: arXiv cs.LG Moritz Zoellner, Anastasios Manganaris, Ahmed H. Qureshi, Rohan Paleja
AI

RUBRIC: Realism--Utility Balanced Ranking for Imbalanced Classification

arXiv:2607.09816v3 Announce Type: replace Abstract: Class imbalance poses a fundamental challenge in risk-sensitive applications such as fraud detection and medical diagnosis, where minority-class samples are scarce yet…

Source: arXiv cs.LG Yanxuan Yu, Dong Liu, Shu Wang, Wenxiao Zhao, Eric Jiang, Chang Liu, Jinxi Yu, Hui Pan, Ben Lengerich, Tong Geng, Renata Borovica-Gajic, Ying Nian Wu
AI

Adversarial Learning of Classifier-Free Guidance Schedules

arXiv:2608.14038v1 Announce Type: new Abstract: Modern text-to-image diffusion models rely on classifier-free guidance (CFG) to achieve high image fidelity and text alignment. However, CFG typically applies a static,…

Source: arXiv cs.LG Ashwini Pokle, Alexandre Galashov, Arnaud Doucet, Mauricio Delbracio, Valentin De Bortoli
AI

Reward Machines for Signal Temporal Logic

arXiv:2608.13625v1 Announce Type: cross Abstract: Signal temporal logic (STL) provides a formal language for specifying real-time properties of real-valued observations, along with a quantitative robustness score for…

Source: arXiv cs.LG Alper Kamil Bozkurt, Shangtong Zhang, Yuichi Motai
AI

Unknown Unknowns: Model Misspecification in Machine Learning for Physics

arXiv:2608.13633v1 Announce Type: cross Abstract: Machine learning is now a central tool for solving inverse problems in particle physics and astronomy. Models are trained on simulation and deployed on real data,…

Source: arXiv cs.LG Juan Cruz-Martinez, Carolina Cuesta-Lazaro, Alexander Held, Michael Kagan
AI

Inpainting physics: self-supervised learning for context-driven fluid simulation

arXiv:2605.08832v3 Announce Type: replace Abstract: Neural surrogate models for computational fluid dynamics (CFD) are typically trained as forward operators that map explicit problem specifications, such as geometry…

Source: arXiv cs.LG Jonas Weidner, Yeray Martin-Ruisanchez, Daniel Rueckert, Benedikt Wiestler, Julian Suk
AI

Multimarginal flow matching with optimal transport potentials

arXiv:2606.05327v2 Announce Type: replace Abstract: Flow matching (FM) has emerged as a powerful framework for learning dynamic transport maps between two empirical distributions. However, less explored is the setting…

Source: arXiv cs.LG Raghav Kansal, David Crair, Nghia Nguyen, Scott Pope, Bradley Parry
AI

Semantically Labelled Automata for Multi-Task Reinforcement Learning with LTL Instructions

arXiv:2602.06746v2 Announce Type: replace-cross Abstract: We study multi-task reinforcement learning (RL), a setting in which an agent learns a single, universal policy capable of generalising to arbitrary, possibly…

Source: arXiv cs.LG Alessandro Abate, Giuseppe De Giacomo, Mathias Jackermeier, Jan Kret\'insk\'y, Maximilian Prokop, Christoph Weinhuber
AI

A Configuration-First Framework for Reproducible, Low-Code Localization

arXiv:2510.25692v4 Announce Type: replace-cross Abstract: As machine learning (ML) increasingly underpins critical applications, credible, comparable, and repeatable experimental results become more important. Everyday…

Source: arXiv cs.LG Tim Strnad (Jo\v{z}ef Stefan Institute, Slovenia), Bla\v{z} Bertalani\v{c} (Jo\v{z}ef Stefan Institute, Slovenia), Carolina Fortuna (Jo\v{z}ef Stefan Institute, Slovenia)
AI

MobileMem: Learning from a Year of Mobile Experiences

arXiv:2608.13606v1 Announce Type: cross Abstract: The next generation of AI agents is increasingly moving beyond systems that answer isolated questions toward persistent personal assistants that can understand,…

Source: arXiv cs.LG Xinle Deng, Yida Xue, Xiangyuan Ru, Haoming Xu, Shuofei Qiao, Mengru Wang, Yijun Chen, Buqiang Xu, Chen Jiang, Yuchen Eleanor Jiang, Lizhong Wang, Jianfeng Wang, Li Zeng, Haofen Wang, Guilin Qi, Huaj…
AI

Attributing Preprocessing Invariance in Spectral Foundation Models

arXiv:2608.14227v1 Announce Type: cross Abstract: Preprocessing invariance is an appealing goal for spectral foundation models: a frozen model should remain useful when laboratories preprocess spectra differently. It is…

Source: arXiv cs.LG Dongjun Wei, Hongyi Wu, Yinuo Zou
AI

Capacity-Dependent Effects of Data Selection for Reasoning

arXiv:2608.13721v1 Announce Type: new Abstract: In reasoning supervised fine-tuning, candidate responses for the same instruction can differ substantially in how well they match the student's current distribution.…

Source: arXiv cs.LG Cuong Dang, Hoang Anh Just, Ruoxi Jia
AI

When Prices Double in a Week: Forecasting of Agricultural Volatility in Import-Isolated Markets

arXiv:2606.29248v3 Announce Type: replace Abstract: Vegetable prices in Sri Lanka are highly volatile because the market is largely import-isolated, so supply disruptions quickly drive prices up. This study develops a…

Source: arXiv cs.LG Ranuga Weerasekara, Heshan Nethmina, Manuja Ranathunga, Vinma Wettasinghe, Dinithi Navodya, Subavarshana Arumugam, Nirasha Munasinghe, Nisansa de Silva, Sandareka Wickramanayake
AI

LP-NAS: Linear Programming-based Neural Architecture Search

arXiv:2608.14472v1 Announce Type: new Abstract: Neural Architecture Search (NAS) aims to automate neural network architecture design, reducing reliance on human expertise. Among the various NAS methods, differentiable…

Source: arXiv cs.LG Abhishek Shukla, Ankur Sinha, Faiz Hamid
AI

PhoneWorld: Scaling Phone-Use Agent Environments

arXiv:2605.29486v2 Announce Type: replace-cross Abstract: A central bottleneck for phone-use agents is that controllable, reproducible environments covering real mobile behavior are hard to build at scale. Existing…

Source: arXiv cs.LG Yuxuan Liu, Xin Lai, Junyi Li, Pengyuan Lyu, Jason, Yiduo Guo, Zhengyao Fang, Yang Ding, Yi Zhang, Weinong Wang, Huawen Shen, Xingran Zhou, Liang Wu, Fei Tang, Sunqi Fan, Shangpin Peng, Zheng Ruan,…
AI

Language-Specific Gaps in AI Safety Training Datasets

arXiv:2608.13695v1 Announce Type: cross Abstract: Large language model providers routinely cite multilingual safety benchmarks spanning a dozen or more languages as evidence that their models are safe for…

Source: arXiv cs.LG Chialuka Prisca-Mary Onuoha, Bright Etornam Sunu, Rashidat Sikiru
AI

Approximate Muon with low-rank adapters

arXiv:2608.14492v1 Announce Type: new Abstract: The Muon optimizer shows clear benefits versus alternatives when pretraining neural networks. However, it is used less frequently for parameter-efficient fine-tuning…

Source: arXiv cs.LG Ben Anson, Conor Houghton, Edward Milsom
AI

Active Regression via Linear-Sample Sparsification

arXiv:1711.10051v4 Announce Type: replace Abstract: We present an approach that improves the sample complexity for a variety of curve fitting problems, including active learning for linear regression, polynomial…

Source: arXiv cs.LG Xue Chen, Eric Price
AI

AgilePE: Autonomous UAV Pursuit-Evasion via Self-Play Reinforcement Learning

arXiv:2608.14135v1 Announce Type: cross Abstract: Autonomous pursuit-evasion is a fundamental challenge for Unmanned Aerial Vehicles (UAVs), requiring rapid decision-making under tightly coupled dynamics and…

Source: arXiv cs.LG Wenhao Tang, Tianyang Chen, Zhejun Cui, Boyuan An, Jiayu Chen, Ruize Zhang, Huidong Liu, Tianyue Wu, Qingmin Liao, Fei Gao, Yu Wang, Chao Yu
AI

CutClean: Neural Network Pruning for Privacy-Preserving Inference

arXiv:2608.13773v1 Announce Type: new Abstract: Neural networks are increasingly deployed in high-stakes applications with growing privacy leakage concerns. We show that this privacy leakage can occur even in the…

Source: arXiv cs.LG Leonardo Magliolo, Vito Paolo Pastore, Giuseppe Valenzise, Enzo Tartaglione
AI

Responsiveness Verification: Will Predictions Change? How Much? How Often?

arXiv:2507.02169v2 Announce Type: replace Abstract: Machine learning models are often used in applications where their inputs change due to routine interactions, strategic manipulation, or noise. In such settings,…

Source: arXiv cs.LG Harry Cheon, Meredith Stewart, Bogdan Kulynych, Tsui-Wei Weng, Berk Ustun
AI

Friction-Augmented Drifting Models for Resource-Efficient Domain Translation

arXiv:2604.18194v2 Announce Type: replace Abstract: Single-step generators promise high-fidelity synthesis at a fraction of the inference and training cost of ordinary differential equation (ODE)-based flow models, a…

Source: arXiv cs.LG Arkadii Kazanskii, Tatiana Petrova, Andrey Ustyuzhanin, Konstantin Bagrianskii, Aleksandr Puzikov, Radu State
AI

Training Fair Tabular Foundation Models

arXiv:2608.14211v1 Announce Type: new Abstract: Tabular Foundation Models (TFMs) have emerged as leading methods for tabular predictive tasks, leveraging in-context learning to predict on new data without task-specific…

Source: arXiv cs.LG Patrik Kenfack, Jesse C. Cresswell, Anthony L. Caterini, Samira Ebrahimi Kahou, Ulrich A\"ivodji
AI

CForce: Boosting Parallel Decoding for dLLMs via Consistency Forcing

arXiv:2608.13925v1 Announce Type: new Abstract: Diffusion large language models (dLLMs) accelerate language generation by predicting multiple masks in a single forward pass. However, existing dLLMs can suffer from…

Source: arXiv cs.LG Yuji Ren, Chenkai Xu, Zhuocheng Gong, Jianguo Li, Zhijie Deng
AI

Boosting Data Augmentation with Stochastic Weight Averaging

arXiv:2608.14373v1 Announce Type: new Abstract: The symmetries of a learning task have become an important factor in designing modern deep learning solutions. Data augmentation is a straightforward and effective way of…

Source: arXiv cs.LG Longde Huang, Axel Flinth, Jan E. Gerken
AI

CytoBERT: A Foundation Model for Cytometry Data

arXiv:2608.14414v1 Announce Type: new Abstract: Cytometry measures the complex characteristics of single cells (e.g., counts and protein expression of immune cells) and is widely used across immunological research and…

Source: arXiv cs.LG Syed Abdul Haseeb Qadri, Bjarne C. Hiller, Felix Blanke, Vanja Sophie Cangalovic, Kutalm{\i}\c{s} Co\c{s}kun, Amin Mirzaei, Tom Siegl, Sebastian Bader, Thomas Kirste, Martin Becker
AI

Model-agnostic Retrieval-Augmented Extended Forecasting for time series

arXiv:2608.14054v1 Announce Type: new Abstract: Time series forecasting with pretrained foundation models has demonstrated strong zero-shot capabilities. However, achieving optimal performance on time series with short…

Source: arXiv cs.LG Juan Pablo Villa Serna, Rohan Asthana, Vasileios Belagiannis
AI

TRUE-Colon: Exposing a Consistent Transfer Asymmetry in Real-Time Polyp Detection

arXiv:2608.13711v1 Announce Type: cross Abstract: Computer-aided detection (CADe) systems for colonoscopy promise to reduce clinical miss rates, yet reliable real-world deployment remains elusive. This translational gap…

Source: arXiv cs.LG Sebastian Doerrich, Andreas Franz Schwab, Francesco Di Salvo, Shyam Nandan Rai, Hanh Huyen My Nguyen, Christian Ledig
AI

OlmoEarth v1.2: A more efficient family of OlmoEarth models

arXiv:2605.20804v3 Announce Type: replace-cross Abstract: We present a set of improvements to the OlmoEarth family. These improvements allow us to cut compute costs during training ($3.0 \times$ reduction in GPU hours…

Source: arXiv cs.LG Gabriel Tseng, Yawen Zhang, Favyen Bastani, Henry Herzog, Joseph Redmon, Hadrien Sablon, Piper Wolters, Ando Shah, Patrick Alan Johnson, Christopher Wilhelm, Patrick Beukema
AI

Dissociating the Internal Representations of Sycophancy in LLMs

arXiv:2607.07003v3 Announce Type: replace Abstract: Large Language Models (LLMs) frequently exhibit sycophancy, agreeing with a user's statement even when it is incorrect. While often studied as a single, uniform…

Source: arXiv cs.LG Anthony Baez, Sheer Karny, Pat Pataranutaporn
AI

Neural Network-Based Parameter Estimation of a Labour Market Agent-Based Model

arXiv:2602.15572v3 Announce Type: replace Abstract: Agent-based modelling (ABM) is a widespread approach to simulate complex systems. Advancements in computational processing and storage have facilitated the adoption of…

Source: arXiv cs.LG M Lopes Alves, Joel Dyer, Doyne Farmer, Michael Wooldridge, Anisoara Calinescu
AI

Wrong but Useful: Trajectory Value Beyond Answer Correctness in Multi-Agent Messages

arXiv:2608.14375v1 Announce Type: cross Abstract: Multi-agent reasoning systems often use agreement, confidence, or automated scores to decide which messages should shape a final answer. Such filtering assumes that a…

Source: arXiv cs.LG Chih-Hsuan Yang, Anjir Ahmed Chowdhury, Cheng-Hau Yang, Weijian Zheng, Fernando Llorente, Xiaolong Ma, Xinyang Li, Eliu A. Huerta, Ian T. Foster, Rajeev Thakur
AI

SPEAR: Structure Property Explainability with Attention Regularization

arXiv:2608.13826v1 Announce Type: cross Abstract: Machine learning is increasingly used to learn structure property relationships from spectroscopic and diffraction data, yet its adoption in materials discovery is often…

Source: arXiv cs.LG Aditya Raghavan, Utkarsh Pratiush, Dalton A. Pearl, Jade Holliman Jr, Katharine Page, Philip D Rack, Sergei V Kalinin
AI

Learning Discrete Decisions for MIPs with Constraint-Aware Diffusion

arXiv:2608.13079v2 Announce Type: replace 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

RL-Index: Reinforcement Learning for Retrieval Index Reasoning

arXiv:2606.16316v2 Announce Type: replace-cross Abstract: Retrieving external knowledge is crucial for real-world tasks but remains difficult when queries and relevant knowledge are linked by implicit reasoning (e.g.,…

Source: arXiv cs.LG Yongjia Lei, Nedim Lipka, Zhisheng Qi, Utkarsh Sahu, Yuchen Zhuang, Wenqi Shi, Koustava Goswami, Franck Dernoncourt, Ryan A. Rossi, Yu Wang
AI

Automated Inference of Graph Transformation Rules

arXiv:2404.02692v3 Announce Type: replace-cross Abstract: The explosion of data available in life sciences is fueling an increasing demand for expressive models and computational methods. Graph transformation is a model…

Source: arXiv cs.LG Jakob L. Andersen, Akbar Davoodi, Rolf Fagerberg, Christoph Flamm, Walter Fontana, Juri Kol\v{c}\'ak, Christophe V. F. P. Laurent, Daniel Merkle, Nikolai N{\o}jgaard
AI

Forecast Collapse in Time-Series Foundation Models

arXiv:2608.14106v1 Announce Type: new Abstract: When forecasting hourly returns for 1,000 US equities, we observe an unexpected phenomenon: predictions become nearly flat and show poor stock ranking, as measured by…

Source: arXiv cs.LG Shu Wan, Miles Ma, Hank Zhu, Guangqi Liu, Stephen Wang, Qingsong Wen, Huan Liu
AI

Continual Evolution Strategies in Control Tasks

arXiv:2608.13600v1 Announce Type: cross Abstract: We study Evolution Strategies (ES) for continual control, where agents must adapt to changing tasks without forgetting previous ones. On sequential MuJoCo locomotion…

Source: arXiv cs.LG Nicola Pitzalis, Eleni Nisioti, Antonio Carta, Davide Bacciu, Andrea Cossu
AI

Variation Brownian Kernel Ladders

arXiv:2608.13882v1 Announce Type: new Abstract: Claims about the benefit of depth depend on the complexity assigned to a representation. We introduce the \emph{Variation Brownian Kernel Ladder} (VBKL), a path-atomic…

Source: arXiv cs.LG Mahdi Mohammadigohari
AI

TIDE: Proactive Multi-Problem Discovery via Template-Guided Iteration

arXiv:2606.04743v2 Announce Type: replace-cross Abstract: Agents are widely deployed as assistants over documents, tools, and code. However, they typically act only on explicit user requests, which surface only the…

Source: arXiv cs.LG Soyeong Jeong, Jinheon Baek, Minki Kang, Sung Ju Hwang
AI

The Expressive Limits of Diagonal SSMs for State-Tracking

arXiv:2603.01959v2 Announce Type: replace Abstract: State-Space Models (SSMs) have recently been shown to achieve strong empirical performance on a variety of long-range sequence modeling tasks while remaining efficient…

Source: arXiv cs.LG Mehran Shakerinava, Behnoush Khavari, Siamak Ravanbakhsh, Sarath Chandar
AI

Emergent Models: Intelligence from Tiny Substrates

arXiv:2608.14019v1 Announce Type: cross Abstract: Emergent Models (EMs) are a machine learning paradigm based on simple yet open-ended substrates, such as cellular automata, in which modeling is treated not as the…

Source: arXiv cs.LG Giacomo Bocchese, Nicola Giacobbo, Etienne Guichard, James Wiles, Akshaj Devireddy
AI

Learning Transfers: Kan Extensions for Neural Invariants

arXiv:2606.07627v3 Announce Type: replace Abstract: A representation transfers if it stays usable once the task has changed. Standard evaluations report target accuracy or a distance between data distributions, but…

Source: arXiv cs.LG Luciano Melodia
AI

Early Stopping for Large Reasoning Models via Confidence Dynamics

arXiv:2604.04930v2 Announce Type: replace-cross Abstract: Large reasoning models rely on long chain-of-thought generation to solve complex problems, but extended reasoning often incurs substantial computational cost and…

Source: arXiv cs.LG Parsa Hosseini, Sumit Nawathe, Mahdi Salmani, Meisam Razaviyayn, Soheil Feizi
AI

Pairton: Iterative Reconstruction of Short-Lived Particles

arXiv:2608.14278v1 Announce Type: cross Abstract: We present Pairton, an iterative framework for reconstructing short-lived particles in high-energy collision events. By formulating particle reconstruction as a masked…

Source: arXiv cs.LG Andreas Hermansen, Chris Scheulen, Tobias Golling
AI

BCIJelly: An integrated ecosystem for brain-computer interface research

arXiv:2608.13576v1 Announce Type: cross Abstract: Brain-computer interface (BCI) research relies on multistage computational pipelines, yet progress remains constrained by fragmented data formats, heterogeneous decoder…

Source: arXiv cs.LG Liyuan Han, Xinrui Yang, Tianyu Zheng, Qizhi Yang, Yitao Qin, Liang Chen, Qinglai Wei, Binjie Hong, Xinhe Zhang, Rui Xiong, Yong Gu, Mu-ming Poo, Bo Xu, Chengyu Li, Tielin Zhang
AI

Data-driven techniques for translational neuroscience and personalized neuro-health

arXiv:2608.13749v1 Announce Type: cross Abstract: Neurodegenexrative diseases such as Alzheimer's disease and Parkinson's disease are diagnosed most reliably only after substantial, often irreversible, neuronal loss has…

Source: arXiv cs.LG Vishal Subedi, Shashipraba N. K. Rajakaruna, Pratyusha Sarkar, Subhankar Chattoraj, Anjali Khasa, Siddhartha Nandy, Hamza Farooq, Animikh Biswas, Sanjay Chaudhuri, Asim K. Dey, Karuna Joshi, Christop…
AI

Fashion Outfit Generation via Unified Sequential Composition Models

arXiv:2608.13888v1 Announce Type: new Abstract: The task of synthesizing stylistically coherent fashion outfits from massive item libraries, known as fashion outfit generation, remains a non-trivial challenge, primarily…

Source: arXiv cs.LG Kaicheng Pang, Xingxing Zou, Ruohan Xu, Waikeung Wong
AI

Adjacency-Based Spectral Proxy Control of Mobile Communication Agents

arXiv:2608.13616v1 Announce Type: cross Abstract: We consider a heterogeneous mobile-agent network composed of uncontrolled task agents and controllable communication agents. The objective is to reposition communication…

Source: arXiv cs.LG Mariana del Castillo, Federico Larroca
AI

Think in Latent, Explain in Language: Self-Explainable Latent Reasoning

arXiv:2608.13570v1 Announce Type: cross Abstract: Latent reasoning has emerged as a powerful alternative to text-based Chain-of-Thought (CoT), offering significant gains in computational efficiency by compressing…

Source: arXiv cs.LG Dayuan Zhao, Shengcao Cao, Yu-Xiong Wang, Liang-Yan Gui
AI

MINT: A Universal Zero-Shot Predictor for Transaction Data

arXiv:2608.14198v1 Announce Type: new Abstract: Banks analyse sequential financial transaction data to perform many tasks, including fraud prevention, credit risk assessment and offer personalization. To improve the…

Source: arXiv cs.LG Parameswaran Kamalaruban, Viktor Drobnyi, Maeve Madigan, Julia Rozanova, David Sutton, Stuart Burrell
AI

Revisiting the shutdown problem

arXiv:2606.08296v2 Announce Type: replace-cross Abstract: A key premise in leading arguments for existential risk from artificial intelligence is that malfunctioning artificial agents could not be easily shut down. This…

Source: arXiv cs.LG David Thorstad
AI

Agentic Transaction: Towards ACID-Compliant Agent Systems

arXiv:2608.13900v1 Announce Type: cross Abstract: Large language model (LLM) agents are evolving from conversational assistants into autonomous systems that execute long-horizon tasks through reasoning, tool use, code…

Source: arXiv cs.LG Zhaoyan Sun, Xiaoxiao Wang, Guoliang Li
AI

Generating Benchmark Health Data Using a Tabular Diffusion Transformer

arXiv:2608.14496v1 Announce Type: new Abstract: Cross-Tabular Data Generation (CTDG) seeks to learn a generative model from multiple heterogeneous tables and produce new synthetic tabular datasets. However, existing…

Source: arXiv cs.LG Hao Yan, Lisa Pilgram, Dan Liu, Linglong Kong, Fida Dankar, Khaled El Emam
AI

Modular Cognitive Architecture Emerges in Large Language Models

arXiv:2608.13567v1 Announce Type: cross Abstract: The human brain exhibits a striking degree of functional specialization, with distinct networks supporting language, formal reasoning, reasoning about other minds, and…

Source: arXiv cs.LG Pengrui Han, Jacob Andreas, Evelina Fedorenko, Andrea Gregor de Varda
AI

Cross-Calibrated Confidence Fields for Local Risk Updates

arXiv:2606.19147v3 Announce Type: replace-cross Abstract: How can training data be used to compare local updates to the current model, choose an update, and retain valid bounds for the selected update's population-risk…

Source: arXiv cs.LG Mingzhi Song
AI

A Probabilistic Framework for Learnable Optimization Algorithms

arXiv:2408.11629v2 Announce Type: replace Abstract: We propose a statistical-learning framework for optimization algorithms. The framework is based on probability distributions over optimization trajectories induced by…

Source: arXiv cs.LG Peter Ochs, Michael Sucker
AI

Online Inference in Distributional Temporal-Difference Learning

arXiv:2608.14408v1 Announce Type: cross Abstract: We study online statistical inference for functionals of the return distribution under a fixed policy. The return distribution is estimated by nonparametric…

Source: arXiv cs.LG Yang Peng, Liangyu Zhang
AI

KV Cache Compression Through the Lens of Transform Coding

arXiv:2608.14191v1 Announce Type: new Abstract: The key-value (KV) cache stores information from past tokens and is a major memory bottleneck in long-context inference. Existing quantization methods address this…

Source: arXiv cs.LG Hannah Laus, Claudio Mayrink Verdun, Hao Wang, Flavio du Pin Calmon, Felix Krahmer
AI

SALSA-V: Shortcut-Augmented Long-form Synchronized Audio from Videos

arXiv:2510.02916v2 Announce Type: replace-cross Abstract: We propose SALSA-V, a multimodal video-to-audio generation model capable of synthesizing highly synchronized, high-fidelity long-form audio from silent video…

Source: arXiv cs.LG Amir Dellali, Luca A. Lanzend\"orfer, Florian Gr\"otschla, Roger Wattenhofer
AI

Rollplex: Cross-Phase GPU Spatial Sharing for Vision Language Model Post-Training

arXiv:2608.14498v1 Announce Type: new Abstract: Vision-language models (VLMs) enable embodied agents to reason and act from visual observations and language instructions. Reinforcement learning (RL) post-training…

Source: arXiv cs.LG Hanfeng Lu, Tianyu Feng, Suyi Li, Yuheng Zhao, Wei Gao, Shaopan Xiong, Ju Huang, Siran Yang, Jiamang Wang, Lin Qu, Wei Wang
AI

OTIS: Learning High-Quality Time Series Features With Tiny Encoders

arXiv:2410.07299v3 Announce Type: replace Abstract: We introduce OTIS, an open time series encoder that yields high-quality time series features for downstream deployment on any system, including resource-constrained…

Source: arXiv cs.LG \"Ozg\"un Turgut, Philip M\"uller, Martin J. Menten, Daniel Rueckert
AI

Latent Reward Registers for Diffusion Preference Alignment

arXiv:2608.03929v3 Announce Type: replace Abstract: Aligning diffusion models with human preferences usually relies on a sparse terminal reward evaluated on the final generated samples, which creates a severe temporal…

Source: arXiv cs.LG Yuanshen Guan, Zipeng Feng, Chengru Song, Zhiwei Xiong, Peiqin Sun
AI

Optimization with SpotOptim

arXiv:2604.13672v2 Announce Type: replace Abstract: The spotoptim package implements surrogate-model-based optimization of expensive black-box functions in Python. Building on two decades of Sequential Parameter…

Source: arXiv cs.LG Thomas Bartz-Beielstein
AI

Engineering Signals of Human-AI Collaboration in the Agentic Coding Era: A Longitudinal Analysis of 33,228 Pull Requests from vLLM and SGLang with Implications for Biomedical AI Agents and Bioinformatics Pipeline Developmen

arXiv:2608.13884v1 Announce Type: cross Abstract: The rapid adoption of AI coding assistants and autonomous agentic development systems has coincided with major changes in the pace and structure of open-source software…

Source: arXiv cs.LG Jiada Li, Xuesong Ye, Olamide Olowoniyi
AI

AI Evaluation Should Work With Humans

arXiv:2608.13577v1 Announce Type: cross Abstract: This position paper argues that the dominant paradigm of AI evaluation (which focuses on superhuman autonomous performance and so implicitly targets the goal of…

Source: arXiv cs.LG Jan Kulveit, Gavin Leech, Tom\'a\v{s} Gaven\v{c}iak, Raymond Douglas
AI

The Nonstationarity-Complexity Tradeoff in Return Prediction

arXiv:2512.23596v2 Announce Type: replace-cross Abstract: Does more data improve return prediction? In non-stationary financial markets, longer training windows improve prediction of complex models but incorporate…

Source: arXiv cs.LG Agostino Capponi, Chengpiao Huang, J. Antonio Sidaoui, Kaizheng Wang, Jiacheng Zou
AI

RecipeNet: A Hierarchical Transformer for Recipe Data

arXiv:2608.14505v1 Announce Type: new Abstract: Recipe data arises in domains such as materials synthesis, pharmaceutical formulation, and industrial manufacturing, where procedures are represented as ordered sequences…

Source: arXiv cs.LG Pin-Yen Huang, Sachin Chhabra, Prasanth Sai Gouripeddi, Abhinav Kumar, Baoxin Li
AI

Universal Thermodynamic Interatomic Potentials for Crystalline Materials

arXiv:2608.14502v1 Announce Type: cross Abstract: Free energies govern solid-state phase stability, yet computational materials discovery still relies largely on ground-state energies because free energy calculations…

Source: arXiv cs.LG Juno Nam, Bowen Deng, Xiaochen Du, Luis Barroso-Luque, Benjamin Kurt Miller, Rafael G\'omez-Bombarelli
AI

Offline Deep Q* Estimation with Diffusion Models

arXiv:2608.14401v1 Announce Type: cross Abstract: In offline RL, estimating the optimal action-value function $Q^*$ can be formulated as solving the optimal Bellman equation based solely on offline observations. A…

Source: arXiv cs.LG Xiaohong Chen, Yuling Jiao, Lican Kang, Jerry Zhijian Yang, Chen Zhong
AI

Amplified Does Not Mean Predictive: Reasoning Behaviors in Thinking Models

arXiv:2608.13760v1 Announce Type: cross Abstract: Which reasoning behaviors are associated with correct answers in reasoning models, and does reasoning-oriented training amplify those behaviors? This distinction is…

Source: arXiv cs.LG Jean de Dieu Nyandwi, Leena Mathur, Yonatan Bisk, Robert Hawkins, Graham Neubig
AI

Robust XGBoosting for Regression

arXiv:2608.13590v1 Announce Type: new Abstract: XGBoost is a very popular and powerful method for prediction. It iteratively fits simple decision trees to the residuals of the previous step. An efficient and scalable…

Source: arXiv cs.LG Iris Arag\'on Mladosich, Christophe Croux
AI

Robust Dual-Model Collaborative Random Vector Functional Link Network

arXiv:2608.13628v1 Announce Type: new Abstract: Random vector functional link (RVFL) networks are lightweight and fast neural models that offer efficient training and strong generalization through randomized…

Source: arXiv cs.LG A. Quadir, A. Rahaman, Mushir Akhtar, M. Tanveer
AI

Ordinal-Aware Calibration for Ordinal Classification

arXiv:2410.15658v4 Announce Type: replace Abstract: Deep neural networks frequently produce overconfident, miscalibrated predictions. In ordinal classification, predictions must also adhere to a unimodal and…

Source: arXiv cs.LG Daehwan Kim, Haejun Chung, Ikbeom Jang
Algorithms

CavityRank: Zero-Extra-Byte Residual Routing for Cuckoo Filters

arXiv:2608.13970v1 Announce Type: new Abstract: Near capacity, a cuckoo filter may reject an insertion even though a legal placement still exists: the table remains structurally feasible, but a bounded policy fails to…

Source: arXiv cs.DS Yongjie Guan
Algorithms

The Parameterized Complexity of Extending Stack Layouts

arXiv:2409.02833v2 Announce Type: replace-cross Abstract: An $\ell$-page stack layout (also known as an $\ell$-page book embedding) of a graph is a linear order of the vertex set together with a partition of the edge…

Source: arXiv cs.DS Thomas Depian, Simon D. Fink, Robert Ganian, Martin N\"ollenburg
Algorithms

Weighted Equitability and Matroid-Constrained Discrepancy

arXiv:2608.13983v1 Announce Type: new Abstract: We prove weighted matroid equitability. Let $M=(E,\mathcal{I})$ be a matroid whose ground set can be partitioned into $k$ bases, and assign a nonnegative weight to every…

Source: arXiv cs.DS Krist\'of B\'erczi, Siyue Liu, Victor Reis, Jakub Tarnawski
Algorithms

The Sharp Dimension Bound in the Johnson--Lindenstrauss Lemma

arXiv:2608.13782v1 Announce Type: cross Abstract: The Johnson--Lindenstrauss lemma asserts that every set of $n$ points in $d$-dimensional Euclidean space embeds into $O(\varepsilon^{-2}\log n)$-dimensional Euclidean…

Source: arXiv cs.DS Vishesh Jain
Algorithms

Isomorphism of tournaments with bounded VC dimension

arXiv:2608.14486v1 Announce Type: new Abstract: The tournament isomorphism problem is one of the two fundamental bottlenecks to designing better algorithms for the graph isomorphism problem. Though the problem has been…

Source: arXiv cs.DS Simon Ra{\ss}mann, Pascal Schweitzer
AI

Research-Oriented Human-Centric Evaluation for Foundation Models

arXiv:2506.01793v2 Announce Type: replace Abstract: Most current evaluations of foundation models focus on objective benchmarks, such as knowledge coverage and reasoning accuracy, often overlooking users' subjective…

Source: arXiv cs.CL Yijin Guo, Kaiyuan Ji, Xiaorong Zhu, Junying Wang, Farong Wen, Chunyi Li, Zicheng Zhang, Guangtao Zhai
AI

Learning to Interrupt in Language-based Multi-agent Communication

arXiv:2604.06452v2 Announce Type: replace Abstract: When a colleague starts explaining something you already understand, you interrupt them. This simple act, a listener taking control of the conversation, is natural in…

Source: arXiv cs.CL Danqing Wang, Da Yin, Ruta Desai, Lei Li, Asli Celikyilmaz, Ansong Ni
AI

ASSERT: A Measurement Pipeline for GenAI Audits

arXiv:2608.13840v1 Announce Type: new Abstract: Audits of generative AI (GenAI) systems often summarize behavior as a reported rate: how often the audited system complies with policy. Researchers and stakeholders use…

Source: arXiv cs.CL Riccardo Fogliato, Abhinav Palia, Xiawei Wang, Emily Sheng, Chad Atalla, Jean Garcia-Gathright, Nicholas Pangakis, Sharman Tan, Dan Vann, Hannah Washington, P. Alex Dow, Heba Elfardy, Hanna Wallach,…
AI

AnchorBench: A Multi-Pathway Benchmark for the Anchoring Effect in LLMs

arXiv:2608.14320v1 Announce Type: cross Abstract: The anchoring effect is a cognitive bias in which an initial reference value shifts a later judgment toward itself. This effect is well established in human judgment and…

Source: arXiv cs.CL Yiderigun Borjigin, Alexander Hermann, Christian Cyron, Roland Aydin
AI

GRASP: Gated Regression-Aware Skill Proposer for Self-Improving LLM Agents

arXiv:2605.29668v2 Announce Type: replace-cross Abstract: LLM agents acting in structured environments fail in operational rather than conversational ways, and reliability depends on procedural knowledge of the…

Source: arXiv cs.CL Johannes Moll, Jean-Philippe Corbeil, Jiazhen Pan, Martin Hadamitzky, Daniel Rueckert, Lisa Adams, Keno Bressem
AI

DialectS2S: End-to-End Speech Dialogue Modeling for Low-Resource Chinese Dialects

arXiv:2608.08067v2 Announce Type: replace Abstract: Current end-to-end speech dialogue models are primarily optimized for mainstream languages and remain limited in low-resource dialect scenarios due to the scarcity of…

Source: arXiv cs.CL Yi Shu, Tianyu Peng, Yingzhuo Deng, Wen Yang, Jun Lin, Changming Xie, Xinyu Yu, Jiajun Zhang
AI

VoiceChat-TTS: A Low-Latency Continuous Speech Synthesis Model for Interactive Agents

arXiv:2608.13831v1 Announce Type: cross Abstract: Spoken dialogue is a natural form of human--computer interaction, yet most speech language models remain limited to turn-based operation and lack real-time adaptability,…

Source: arXiv cs.CL Edresson Casanova, Jaehyeon Kim, Mariana Graterol Fuenmayor, Shehzeen Hussain, Viacheslav Klimkov, Valentin Mendelev, Mikyas Desta, Paarth Neekhara, Piotr Zelasko, Chen Chen, Elena Rastorgueva, Ke Hu…
AI

ARC: Fair Relative Advantage Comparison in Open-Ended Real-World Interaction

arXiv:2608.13622v1 Announce Type: cross Abstract: Open-ended real-world interaction admits multiple valid behaviors: an agent may answer directly, ask for clarification, provide progress updates, or confirm before…

Source: arXiv cs.CL Yongqi Tong, Tan Li Hui Faith, Choy Zhen Wen Marcus, Zhou Jin, Kewei Fu, Jiang-Ming Yang, Jianshe Li, Xin Zhang
AI

HERMES: a multi-agent framework for structured knowledge extraction from ultra-long documents in geoscience

arXiv:2608.14055v1 Announce Type: new Abstract: Authoritative scientific knowledge in geoscience remains largely trapped in legacy monographs and historical literature, where unstructured text and complex layouts hinder…

Source: arXiv cs.CL Ziqi Song, Zongyuan Xiang, James G. Ogg, Bruce S. Lieberman, Gabi Ogg, Natalia L\'opez Carranza, Wen Du, Yufei Ye, Shuan Li, Zhong Peng, Shaoqi Yu, Juye Wei, Ying Zhou, Jieping Ye, Jiang Yang
AI

The conditional superiority of fast silicon sampling

arXiv:2608.14079v1 Announce Type: new Abstract: Silicon sampling can produce surprisingly good population estimates at times. Does doing it fast attenuate such fidelity? In this study, we extend and assess ongoing work…

Source: arXiv cs.CL Nickolas Hock Yuen Lam, Ji Xuan Voo, Xiangyu Ma
AI

Kalypso: Relational LLM Serving

arXiv:2607.23815v2 Announce Type: replace-cross Abstract: Large language models are increasingly used as semantic operators for filtering, extracting, ranking, joining, and transforming unstructured data. Existing…

Source: arXiv cs.CL Hojae Son, Md Ashraful Islam, Huy Gia Cao, Hui Guan, Marco Serafini
AI

The More Popular, The Harder to Forget: Adaptive Popularity for LLM Unlearning

arXiv:2608.14229v1 Announce Type: new Abstract: Popular facts are memorised more deeply during pretraining and resist removal longer than rare ones, yet existing LLM unlearning methods apply uniform gradient pressure…

Source: arXiv cs.CL Anna Borisiuk, Andrey Savchenko, Alexander Panchenko, Elena Tutubalina
AI

SimpleOPD: Simple Tokenizer-Agnostic On-Policy Distillation for Long-Context Reasoning

arXiv:2608.14277v1 Announce Type: new Abstract: On-policy distillation (OPD) offers a promising way to transfer reasoning capabilities from stronger teacher models, but applying it to long-context reasoning teachers and…

Source: arXiv cs.CL Haonan He, Haodi Lei, Yun Luo, Haoran Zhang, Shunkai Zhang, Yizhuo Li, Shengji Tang, Zhilin Wang, Runzhe Zhan, Lei Bai, Ganqu Cui, Fangchen Yu, Yafu Li, Peng Ye, Ning Ding, Yu Cheng
AI

A Survey of Large Models in Sports

arXiv:2608.14377v1 Announce Type: new Abstract: Sports have witnessed growing global enthusiasm in recent years, serving as a vital force for physical health, cultural exchange, social connection, and economic growth.…

Source: arXiv cs.CL Yichen Xu, Jianzhe Ma, Chuhan Wang, Zhonghao Cao, Liangyu Chen, Wenxuan Wang, Qin Jin
AI

Agentic Aggregation for Parallel Scaling of Long-Horizon Agentic Tasks

arXiv:2604.11753v3 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

Seeing Red, Thinking Bad: Color Bias in Vision Language Models

arXiv:2608.14286v1 Announce Type: cross Abstract: Vision language models (VLMs) are increasingly used in industrial decision-making systems, such as recruitment support and recommendation. This motivates careful…

Source: arXiv cs.CL Kohsuke Ide, Ryousuke Yamada, Yoshihiro Fukuhara, Hirokatsu Kataoka, Yutaka Satoh
AI

Adaptive Stopping for Multi-Turn LLM Reasoning

arXiv:2604.01413v3 Announce Type: replace Abstract: Large Language Models (LLMs) increasingly rely on multi-turn reasoning and interaction, such as adaptive retrieval-augmented generation (RAG) and ReAct-style agents,…

Source: arXiv cs.CL Xiaofan Zhou, Huy Nguyen, Bo Yu, Chenxi Liu, Lu Cheng
AI

Jais 2: A Family of Arabic-Centric Open Large Language Models

arXiv:2608.13580v1 Announce Type: new Abstract: Jais 2 is a family of Arabic-centric large language models developed jointly by MBZUAI, Cerebras, and Inception, designed to advance Arabic-centric language modeling, with…

Source: arXiv cs.CL Mohamed Anwar, Abed Alhakim Freihat, George Ibrahim, Mostafa Awad, Abdelrahman Sadallah, Gurpreet Gosal, Gokulakrishnan Ramakrishnan, Sarath Chandran, Biswajit Mishra, Rituraj Joshi, Ahmed Frikha, Et…
AI

BAT: Learning to Reason about Spatial Sounds with Large Language Models

arXiv:2402.01591v4 Announce Type: replace-cross Abstract: Spatial sound reasoning is a fundamental human skill, enabling us to navigate and interpret our surroundings based on sound. In this paper we present BAT, which…

Source: arXiv cs.CL Zhisheng Zheng, Puyuan Peng, Ziyang Ma, Xie Chen, Eunsol Choi, David Harwath
AI

Adapting Foundation ASR Models to Dysarthric Speech: A Case Study

arXiv:2606.31722v2 Announce Type: replace Abstract: Automatic speech recognition (ASR) systems often perform poorly in dysarthric speech, limiting their usefulness to affected speakers in everyday communication. This…

Source: arXiv cs.CL Christian Huber, Laura Kernahan, Alexander Waibel
AI

Envs-FORGE: Frontier-Optimized Reward-Grounded Environment Synthesis for Agent RL

arXiv:2608.14312v1 Announce Type: new Abstract: Reinforcement learning (RL) for terminal agents needs executable training environments with reliable rewards and useful difficulty. Fixed recipes such as few-shot,…

Source: arXiv cs.CL Xiaojun Wu, Cehao Yang, Honghao Liu, Xueyuan Lin, Zhichao Shi, Hao Zhou, Xuhui Jiang, Chengjin Xu, Jia Li, Jian Guo
AI

How Much Do Legal RAG Systems Still Hallucinate?

arXiv:2608.14210v1 Announce Type: new Abstract: Hallucination is a major challenge for retrieval-augmented generation (RAG) systems in the legal domain, where ungrounded answers can lead to serious consequences. To…

Source: arXiv cs.CL Souvick Das, Sallam Abualhaija, Domenico Bianculli
AI

Bootstrapping Niche Multilingual Code Translation via Reinforcement Learning with Execution-Based Verifiable Supervision

arXiv:2608.13854v1 Announce Type: new Abstract: Code translation must preserve executable behavior across many programming languages, yet neural code translation has largely focused on a few popular languages such as…

Source: arXiv cs.CL Kouki Yuki, Jie Zeng, Kyoko Ogawa, Ryunosuke Ikeda, Yohei Kobashi, Takeshi Kojima, Ikuya Yamada, Yusuke Iwasawa, Yutaka Matsuo
AI

Fine-grained Claim-level RAG Benchmark for Law

arXiv:2605.21071v4 Announce Type: replace Abstract: The rapid progress of large language models (LLMs) is shifting semantic search toward a question-answering paradigm, where users ask questions and LLMs generate…

Source: arXiv cs.CL Souvick Das, Sallam Abualhaija, Domenico Bianculli
AI

Not All Tokens Are Equal: Inflation-Aware Routing for Agentic LLM Systems

arXiv:2608.13571v1 Announce Type: new Abstract: When a language model fails to answer a query on the first attempt, an agentic system retries, consuming additional tokens each time. This retry overhead creates a gap…

Source: arXiv cs.CL Heming Fu, Shan Lin, Qianqian Xie, Guojun Xiong
AI

Seeing is Coding: On the Effectiveness of Vision Language Models in Code Understanding

arXiv:2602.01785v3 Announce Type: replace Abstract: Large Language Models (LLMs) have achieved remarkable success in source code understanding, yet as software systems grow in scale, computational efficiency has become…

Source: arXiv cs.CL Yuling Shi, Chaoxiang Xie, Zhensu Sun, Yeheng Chen, Chenxu Zhang, Longfei Yun, Chengcheng Wan, Hongyu Zhang, David Lo, Xiaodong Gu
AI

LLMs Don't Pay for the Jump

arXiv:2608.14397v1 Announce Type: cross Abstract: Zahavy [2026] argues that Large Language Models, despite their capabilities in induction and deduction, cannot perform the abductive "Jump" that produced Einstein's…

Source: arXiv cs.CL Paras Balani, Subhrakanta Panda
AI

GEM: A Generative Embedding Model Bridging Reasoning and Retrieval

arXiv:2608.13200v2 Announce Type: replace Abstract: Modern LLMs excel at reasoning and instruction following, enabling users to express complex and diverse information needs. However, conventional retrievers largely…

Source: arXiv cs.CL Zhili Shen, Craig Macdonald
Algorithms

The Log-Rank Conjecture: New Equivalent Formulations

arXiv:2510.02583v3 Announce Type: replace Abstract: The log-rank conjecture is a longstanding open problem with multiple equivalent formulations in complexity theory and mathematics. In its linear-algebraic form, it…

Source: arXiv cs.CC Lianna Hambardzumyan, Shachar Lovett, Morgan Shirley
AI

Program-space Diffusion for Morphology-to-Transcriptomics Prediction

arXiv:2608.14330v1 Announce Type: new Abstract: Spatial transcriptomics (ST) enables genome-wide gene expression profiling while preserving tissue architecture, but its cost and limited scalability remain major…

Source: arXiv cs.AI Ruyter Swann, Dorent Reuben, Racoceanu Daniel
AI

NEURON: A Neuro-symbolic System for Grounded Clinical Explainability

arXiv:2605.01189v3 Announce Type: replace Abstract: Clinical AI adoption is hindered by the black-box/grey-box nature of high-performing models, which lack the ontological grounding and narrative transparency required…

Source: arXiv cs.AI Anuradha Chandrasekaran, Dimitrios Zikos, Mutlu Mete, Alan Pang, Brady D. Lund, Kewei Sha
AI

Class Activation Mapping in Explainable Computer Vision: A Method-Centered Review of CNN, Transformer, and Foundation-Model-Era Visual Explanations

arXiv:2608.12299v2 Announce Type: replace-cross Abstract: Class activation mapping (CAM) is one of the most widely used visual explanation families in explainable artificial intelligence. Its purpose is intuitive: it…

Source: arXiv cs.AI AmirHossein Eshghi, Hamid Saadatfar, Seyyed Ali Hoseini, AmirMohsen Eshghi, Siavash Arjomand Bigdeli
AI

Agent-Orchestration in Autonomous Chip Design

arXiv:2608.14035v1 Announce Type: new Abstract: Recent developments in large language models (LLMs) and tool-using agents encourage people to explore the potential of using agents in chip design. The core question is…

Source: arXiv cs.AI Linyang Li
AI

Scaling Domain Data Repetition in LLM Pretraining

arXiv:2608.14071v1 Announce Type: new Abstract: As large language models scale, their training-token budgets must also increase to maintain an appropriate tokens-per-parameter ratio (\(\mathrm{TPP}\)). However,…

Source: arXiv cs.AI Jingwei Li, Xinran Gu, Rui Dai, Xintong Hao, Chengyin Xu, Yan Wu, Shuran Zheng, Jingzhao Zhang
AI

Designing Sustainable Federated Learning as a Service using Neural Architecture Search

arXiv:2608.14359v1 Announce Type: new Abstract: The sustainability constraints of FLaaS consumers pose significant challenges to maintaining carbon-feasible federated training in FLaaS environments. These constraints…

Source: arXiv cs.AI Keya Patel, Sajib Mistry, Sheik Fattah, Deepak Kanneganti, Aneesh Krishna, Mufti Mahmud, Monowar Bhuyan
AI

Can We Defend Against AI-Generated Video Attacks on Real-World Crisis Events? A Systematic Evaluation of Detectors, Generators and Social Dissemination

arXiv:2608.14391v1 Announce Type: cross Abstract: Recent video generators can fabricate realistic depictions of wars, disasters, public emergencies, and other real-world crises, creating substantial risks of…

Source: arXiv cs.AI Shuo Liang, Yixing Ma, Pengfei Zhou, Xingyan Chen, Zihan Mei, Manting Li, Feihan Chen, Zhiwen Wang, Bin Xu, Haotian Zhang, Jiajun Song, Shiya Su, Run Liu, Zhenghang Ni, Yifa Yu, Jintao Hong, Bolong F…
AI

The Past and Future of AI Scientists

arXiv:2608.14407v1 Announce Type: new Abstract: We present a survey of the past and future of AI Scientists: machines capable of automating science. AI Scientists can originate hypotheses, deduce their consequences,…

Source: arXiv cs.AI Ross D. King
AI

A Pathway to General-Purpose Scientific AI: Multimodal Comprehension of Scientific Images

arXiv:2608.14075v1 Announce Type: new Abstract: Scientific figures and tables encode essential experimental evidence, yet remain difficult for digital libraries and multimodal AI systems to retrieve and interpret. The…

Source: arXiv cs.AI Jennifer D'Souza, Fahad Ahmed, Cecilia Andrea Bustamante Andrade, Lina Frolova, Poorani Gnanasambandan, Dilshad Hussain, Muhammad Uzair Khan, Nkembeng Kevin Nkengfoa, Paul Praveen J., Fabio Priante,…
AI

Voxel-based 3D Facies Segmentation from Seismic Data: A Comparative Study

arXiv:2608.14058v1 Announce Type: cross Abstract: Seismic facies segmentation has emerged as a significant challenge in geophysics, requiring robust methods and systems to effectively identify geologically analogous…

Source: arXiv cs.AI Duc-Thanh Pham, Minh-Tan Pham, Anh Nguyen, Van Nguyen
AI

Traj-LeWM: Path-Aware World-Model Planning via Latent Trajectory Cost

arXiv:2608.14125v1 Announce Type: new Abstract: LeWM is a lightweight visual world model that learns latent dynamics end-to-end from pixels and ranks candidate action sequences by the distance between their predicted…

Source: arXiv cs.AI Xiaodi Huang, Ziyi Ding, Jingtian Wan, Yuchen Liu, Yuan Zhang, Xiao-Ping Zhang, Jiayu Chen, Zhang Zhang, Tao Huang
AI

MusicLayout: Explicit Structural Planning for Controllable Text-to-Music Generation

arXiv:2608.09035v2 Announce Type: replace-cross Abstract: Text-to-music generation has advanced rapidly, but current systems still rely primarily on global text prompts, leaving the structural organization of generated…

Source: arXiv cs.AI Shuyu Li, Kejun Zhang, Jiahe Lei, Shulei Ji, Zihao Wang, Jiaxing Yu, Wanying Wu, Lei Wang
AI

PhyAI: Real-Time Physical AI at the Edge, Scalable Rollouts in the Cloud

arXiv:2608.03682v3 Announce Type: replace Abstract: Physical AI policies require inference throughout their lifecycle, including model evaluation, cloud reinforcement learning rollout, edge GPU serving, and onboard…

Source: arXiv cs.AI Chenghua Wang, Daliang Xu, Dongqi Cai, Duojin Sun, Hao Zhang, Haoze Qian, Huaiyuan Zhang, Jinshuo Cui, Junbo Cui, Kezhao Zhao, Longxi Gao, Mengwei Xu, Rongjie Yi, Ruixin Liu, Shangguang Wang, Tam Sik…
AI

Self-Organising Digital Circuits

arXiv:2608.02606v2 Announce Type: replace Abstract: Fault tolerance in classical computing has traditionally relied on static strategies like hardware redundancy and error-correcting codes. Biological systems, in…

Source: arXiv cs.AI Marcello Barylli, Gabriel B\'ena, Alexander Mordvintsev, Eleni Nisioti, Sebastian Risi
AI

Learning-to-Transition for Large-scale and High-Order MIMO Detection

arXiv:2608.14511v1 Announce Type: cross Abstract: High-order multiple-input multiple-output (MIMO) detection requires efficient search over a large discrete symbol space while producing reliable soft information for…

Source: arXiv cs.AI Yubo Zhang, Yiyao Liu, Xiaodong Wang
AI

Inducing Reward-Free Judging Rubrics that Reduce Over-Crediting in Agent Evaluation

arXiv:2608.13564v1 Announce Type: new Abstract: Evaluating language-model agents at scale increasingly relies on a second language model as an automatic judge, because the gold signal, an executable environment reward,…

Source: arXiv cs.AI Darragh Quinn, David Dylan, Roisin Healy, Fionn Carroll, Maeve Donnelly, Cormac Sheehan
AI

Musical Agent Systems: MACAT and MACataRT

arXiv:2502.00023v2 Announce Type: replace-cross Abstract: Our research explores the development and application of musical agents, human-in-the-loop generative AI systems designed to support music performance and…

Source: arXiv cs.AI Keon Ju M. Lee, Philippe Pasquier
AI

Retrieval Grounding Latent Reasoning for Dense Retrieval

arXiv:2608.14107v1 Announce Type: new Abstract: Reasoning-intensive retrieval requires text representations to capture not only semantic similarity, but also the reasoning needed to determine relevance under a given…

Source: arXiv cs.AI Gang Zhou, Xiongxi Yu, Hu Tian, Yang Wei, Lu Pan, Ke Zeng, Shibiao Xu, Xiaolong Zheng
AI

The Dynamics of Intelligence Explosions

arXiv:2608.14426v1 Announce Type: new Abstract: AI is increasingly being used to help with AI R&D. Under certain conditions this feedback loop might be able to produce an intelligence explosion, with rapidly escalating…

Source: arXiv cs.AI Toby Ord
AI

Handover of In-Context Learning State Across Session Boundaries

arXiv:2608.14528v1 Announce Type: new Abstract: This study investigates the methodological and theoretical properties of session handover in applications that use large language models. A task may continue in a new…

Source: arXiv cs.AI Masahiro Kato, Taka Kato
AI

Twin: Playing an Unknown Game with a Test-Time Digital Twin

arXiv:2608.14490v1 Announce Type: new Abstract: We present a Test-time World-model Inference (Twin) system, in which a frontier coding agent writes an executable world model for completing continual learning tasks, such…

Source: arXiv cs.AI Alexy Skoutnev, Kirill Acharya, Gaston Longhitano, Madeleine Udell, Kevin Ellis, Iddo Drori
AI

ScienceFlow: A long-horizon agent for ML research, scientific discovery and beyond

arXiv:2608.14354v1 Announce Type: new Abstract: Enabling LLM agents to sustain productive, stable, and goal-aligned research over extended horizons is a central challenge for autonomous machine learning and scientific…

Source: arXiv cs.AI Mingming Zhao, Jiqian Dong, Kangping Xu, Zadid Hasan, Chengrui Fan, Shan Jiang, Shuai Mao, Ting Lingya, Linyi Zou, Tailin Zhou, Yun Hin Chan, Wenkai Zhang, Zhanhong Zhou, Guowei Huang, Hongliang Li,…
AI

Measuring Cross-Task Behavioral Consistency in Language Model Agents

arXiv:2608.13598v1 Announce Type: new Abstract: Agent evaluation relies almost entirely on outcome metrics such as success rate, which capture whether an agent succeeds but not how consistently it behaves. We argue that…

Source: arXiv cs.AI Amritesh Banerjee, Pranil Raichura
AI

Demystifying Agent Skills: Why They Work-Until They Don't

arXiv:2608.14036v1 Announce Type: new Abstract: Skills have emerged as a practical and effective approach for enhancing LLM agents at inference time through structured packages of knowledge. However, existing…

Source: arXiv cs.AI Zhiyuan Jiang, Fangrui Huang, Hanwen Xing, Xander Wu, Yipeng Gao, Rui Cao, Mengdi Wang, Shilong Liu, Yijiang Li
AI

SPARGen: Unifying Spatial Perception and Reasoning through Native Multimodal Generation

arXiv:2608.14138v1 Announce Type: cross Abstract: Spatial perception and reasoning from visual observations require recovering geometric structure, establishing correspondences, and understanding spatial relations.…

Source: arXiv cs.AI Jinsheng Quan, Jianhua Li, Siyi Xie, Xuanke Shi, Kewang Deng, Zukai Chen, Feifei Shao, Lei Yang, Quan Wang, Yawei Luo
AI

LLM-Guided Graph Generation for Structure-Based Local Improvement Methods

arXiv:2608.13333v2 Announce Type: replace Abstract: Large neighborhood search normally selects a random subset of decision variables for iterative optimization. To efficiently solve various problems, researchers tend to…

Source: arXiv cs.AI Hai Xia, Vaidyanathan Peruvemba Ramaswamy, Stefan Szeider
AI

Coverage Aware Active Evaluation for Failure Discovery with Paired Systems

arXiv:2608.13719v1 Announce Type: new Abstract: Autonomous systems can fail in rare and heterogeneous ways, making real-world failure discovery difficult under limited testing budgets. Although cheaper proxies such as…

Source: arXiv cs.AI Anjali Parashar, Rachel Luo, Apoorva Sharma, Sushant Veer, Edward Schmerling, Carson Sobolewski, Mingxin Yu, Chuchu Fan, Marco Pavone
AI

Teffic-Audio: Tell Fact from Fiction

arXiv:2607.28351v2 Announce Type: replace-cross Abstract: Speech deepfake detection has expanded in scope with increasingly heterogeneous spoofing mechanisms, including speech synthesis, voice conversion, vocoder…

Source: arXiv cs.AI Wan Lin, Li Wang, Jindong Wang, Kunyu Feng, Zhizheng Wu
AI

HAM-RAG: Hierarchy-Aware Multimodal RAG for Structure-Faithful Interleaved Generation

arXiv:2608.14032v1 Announce Type: cross Abstract: Existing multimodal RAG methods often flatten structured documents into isolated text and image units, weakening the source organization and local text-image logic…

Source: arXiv cs.AI Yin Li, Ziyang Hu, Zhiyu Guo, Xiangyu Liu, Wenbin Li, Boo-Ho Yang, Rav Lawana, Ziyue Li, Wei Zeng, Fugee Tsung
AI

A Year in LLM Serving: Workload Evolution, Caching and Load-Balancing

arXiv:2608.13573v1 Announce Type: new Abstract: Large Language Model (LLM) serving has become a critical cloud workload, and realistic traces are essential for motivating and benchmarking serving systems. However,…

Source: arXiv cs.AI William Nixon, Jon Durbin, Florian Standhartinger, Haryadi S. Gunawi, Juncheng Yang
AI

MemoryLake on MemoryArena: A Matched Study of Agent Memory Backends

arXiv:2608.13883v1 Announce Type: new Abstract: Most agent-memory benchmarks test post-hoc recall, whereas MemoryArena evaluates whether memory supports interdependent, multi-session task completion. We compare…

Source: arXiv cs.AI Chaoqun Zhan, Qiang Zhou, Guannan Li, Zhenqiang Huang, Qianjin Wang
AI

Polaris : Multi Agentic System for Conversational Enterprise Analytics

arXiv:2608.14246v1 Announce Type: new Abstract: In today's fast-paced environment, the ability to swiftly access, understand, and act on data is no longer optional; it is essential. Yet most organizations remain…

Source: arXiv cs.AI Varuni H K, Soham Sarkar, Jay Kumar, Goutham Krishnan, Tanvi Johari, Avinash Bharadwaj, Santosh Hegde
AI

Improving Generalization Robustness of Multimodal RLVR

arXiv:2608.08802v2 Announce Type: replace Abstract: Reinforcement Learning with Verifiable Rewards (RLVR) makes Multimodal Large Language Models more accurate, but the gains are brittle: simply paraphrasing a question…

Source: arXiv cs.AI Pengfei Zhou, Zhiwei Tang, Xiaopeng Peng, Chenrui Zhou, Lama Moukheiber, Yixing Ma, Bin Xu, Jiajun Song, Zhenglin Wan, Wangbo Zhao, Jiasheng Tang, Bohan Zhuang, Fan Wang, Yang You
AI

SportD: How do VLMs physically strategize?

arXiv:2607.14616v4 Announce Type: replace Abstract: Vision-language models (VLMs) can describe a scene, but can they act well within one? We study whether VLMs can make sound strategic decisions, using soccer as an…

Source: arXiv cs.AI Jasin Cekinmez, Addison J. Wu, Haotian Xia, Kyumin Andrew Shim, Anay Putty, Jinglin Xiao, Zhuohan Liu, Leo Liu, Weining Shen
AI

Agentao: A Governed Local-First Runtime for Tool-Using LLM Agents

arXiv:2608.13574v1 Announce Type: new Abstract: LLM agents increasingly operate as execution systems that invoke tools, modify local state, use persistent memory, and interact with external protocols. These capabilities…

Source: arXiv cs.AI Bo Jin, Qiang Jiao, Xin Tong
AI

HELIX: Model-Harness Co-evolution for Recursive Self-Improvement

arXiv:2608.13951v1 Announce Type: new Abstract: Scaling agent capability has largely focused on improving the model, yet an interactive agent acts through a runtime harness that mediates context, tools, control flow,…

Source: arXiv cs.AI Tianyu Fan, Chao Huang
AI

APTER: Adaptive Post-Training with Expert-Grounded Rubrics

arXiv:2608.14212v1 Announce Type: new Abstract: As large language models enter professional domains, they must satisfy domain constraints, include critical evidence, and provide complete reasoning rather than merely…

Source: arXiv cs.AI Xukai Wang, Liangqi Li, Zhiyue Xu, Jingang Zhou, Xiaoyu Shi, Jiansheng Cai, Bo Zhang, Zhe Li, Xu-Yao Zhang
AI

Why we need an AI-resilient society

arXiv:1912.08786v3 Announce Type: replace-cross Abstract: Three generations of software have transformed the role of artificial intelligence in society. In the first, programmers wrote explicit logic. In the second,…

Source: arXiv cs.AI Thomas Bartz-Beielstein
AI

Learning Dexterous Manipulation Using Contact Wrench Guidance From Human Demonstration

arXiv:2607.00033v2 Announce Type: replace-cross Abstract: Dexterous robot manipulation can benefit from the abundance of human demonstrations, but transferring such demonstrations to robot policies remains challenging.…

Source: arXiv cs.AI Xinghao Zhu, Zixi Liu, Shalin Jain, Chenran Li, Milad Noori, Michael Andres Lin, Huihua Zhao, John Welsh, Mrinal Verghese, Wei Liu, Tingwu Wang, Xingye Da, Zhengyi Luo, Vishal Kulkarni, Naema Bhatti,…
AI

Benchmarking data-driven material models on the classic Treloar dataset

arXiv:2608.14063v1 Announce Type: new Abstract: Machine learning is rapidly reshaping constitutive modeling, offers new ways to learn material behavior directly from experimental data, and challenges long-established…

Source: arXiv cs.AI Hagen Holthusen, Moritz Flaschel, Denisa Martonov\'a, Ellen Kuhl
AI

UltraArUco: A Lightweight Multilingual Library And Framework With Low-Latency Real-Time Marker-Based Tracking System For Mobile AR Interaction

arXiv:2608.13584v1 Announce Type: cross Abstract: UltraArUco - a lightweight multilingual library and framework for low-latency, real-time marker-based tracking in mobile augmented reality. Unlike standard OpenCV-based…

Source: arXiv cs.AI Mikhail Kiselev, Aleksandr Marukhin, Ivan Snegirev, Elizaveta Semenyakina, Miguel Altamirano Cabrera, Dzmitry Tsetserukou
AI

Context Aware AI Assistant and AR Interface for Lunar Extravehicular Activity (EVA) Procedural Guidance

arXiv:2608.13589v1 Announce Type: cross Abstract: As human space exploration returns to the Moon, astronauts need rapid access to procedural information during extravehicular activities (EVAs), where attention is…

Source: arXiv cs.AI Rodrigo Gallardo, Qilmeg Doudatcz, Ganit Goldstein, Ilkyaz Sarimehmetoglu, Sergio Mutis, Alexander Htet Kyaw, Anita Lin, Clara Emmerling, Berfin Ataman, Skylar Tibbits
AI

Participatory Moral AI Is Not Neutral: The Invisible Hand of Developers

arXiv:2608.14522v1 Announce Type: new Abstract: As AI systems make more morally loaded decisions across society, one response has been moral preference elicitation. In this approach, researchers poll participants on…

Source: arXiv cs.AI Taenyun Kim, Edyta Bogucka, Daniele Quercia
AI

Exploring ESC Winners with Nested Diagrams

arXiv:2608.13630v1 Announce Type: new Abstract: We present ConceptFlow, a scikit-learn-compatible Python library for Formal Concept Analysis that constructs and renders nested line diagrams from many-valued formal…

Source: arXiv cs.AI Anurag Sharma, Marcel N\"ohre, Gerd Stumme
AI

TimeSage-EV: A Live Benchmark for Agentic Time Series Analysis in Evolving Environments

arXiv:2608.14270v1 Announce Type: new Abstract: Time series analysis in high-stakes domains relies on recurring data releases, where new observations can alter the evidence base and the validity of later conclusions.…

Source: arXiv cs.AI Qingren Yao, Yaxuan Kong, Yuqi Nie, Yichen Li, Stefan Zohren, Anna Vettoruzzo, Qingsong Wen, Ming Jin, Joaquin Vanschoren
AI

Musical Mirrors: The LLM as Sounding Board in Songwriting

arXiv:2608.13944v1 Announce Type: cross Abstract: This paper examines a use of AI in creative practice as an interpretive sounding board for human-generated material, rather than the more familiar pattern of AI…

Source: arXiv cs.AI Xiao Xiao
AI

SheetCompass: Hierarchical Relation Graphs for Agentic Spreadsheet Reasoning

arXiv:2608.14452v1 Announce Type: new Abstract: Spreadsheets are widely used to organize, analyze, and manipulate semi-structured data, yet automated spreadsheet reasoning remains challenging for large language models…

Source: arXiv cs.AI Panjing He, Mingyue Cheng, Yucong Luo, Li Li, Xiaohan Zhang
AI

Active Perception for Embodied Disambiguation

arXiv:2608.13605v1 Announce Type: new Abstract: Natural language provides robots with a flexible task interface, but target ambiguity in embodied environments arises not only from user intent; it can also result from…

Source: arXiv cs.AI Yiwei Liu, Luwei Yang
AI

From Field Data to Global Food Systems Intelligence: A Semantic Graph Framework for Sustainable Wheat Production

arXiv:2502.19507v2 Announce Type: replace Abstract: In response to the growing need for structured, interoperable agricultural data, this paper presents the Sustainable Wheat Production Datahub, a modular, graph-based…

Source: arXiv cs.AI Nirmal Gelal, Aastha Gautam, Soheil Abadifard, Nico Giordano, Moumita Sen Sarma, Sanaz Saki Norouzi, Claudio Dias da Silva Jr, Jean Ribert Francois, Kathleen M. Jagodnik, Katherine Nelson, Terry Grif…
AI

Algorithm Design and Physician Liability

arXiv:2608.13618v1 Announce Type: new Abstract: A single clinical algorithm can deliver unequal accuracy across patient groups, and concern about such disparity has grown as artificial intelligence (AI) spreads through…

Source: arXiv cs.AI Shujie Luan, Shubhranshu Singh, Tinglong Dai
AI

Intern-S2-Mobius: Foundation Model with Decoupled Knowledge and Reasoning

arXiv:2608.14290v1 Announce Type: new Abstract: We introduce Mobius-v0, an architecture that comprises a globally shared Memory (FFN) that stores knowledge vectors and multiple Reasoners (Self-Attn) that iteratively…

Source: arXiv cs.AI Kai Chen, Jifeng Ding, Ning Ding, Jiaye Ge, Lixin Gu, Yicheng Gu, Qipeng Guo, Ermo Hua, Haian Huang, Haozheng Hou, Jie Hou, Xiangyu Hong, Che Jiang, Minxi Jin, Cheng Liang, Dahua Lin, Dawei Liu, Kuik…
AI

ForgeWM: Progressive Causal Training for Few-Step Action-Conditioned Video World Models

arXiv:2608.14022v1 Announce Type: cross Abstract: Action-conditioned video world models require low-latency causal generation and reliable responses to game-native controls. Although causal distillation enables one- or…

Source: arXiv cs.AI Xinye Li, Lingshuai Lin, Lei Wang, Liuzhou Zhang, Jialin Cui, Qingshan Li, Guanchu Wang, Qingbin Liu, Xi Chen, Jiang Bian, Wai Lam
AI

Self-Supervised Visual On-Policy Distillation

arXiv:2608.14144v1 Announce Type: cross Abstract: Visual on-policy distillation relies heavily on an informative teacher-student asymmetry, through either a larger, stronger teacher or privileged supervision, such as…

Source: arXiv cs.AI Yijiang Li, Yijun Liang, Yunjie Tian, Bingyang Wang, Ke Zhang, Zhenfei Yin, Di Fu, Philip Torr, Nuno Vasconcelos
AI

FLARE MCMC: Fidelity-based Layer-Adaptive REcursive proposals for MCMC

arXiv:2608.13774v1 Announce Type: new Abstract: Markov chain Monte Carlo (MCMC) requires only the ability to evaluate the likelihood, making it a common technique for inference in complex models. However, it can have a…

Source: arXiv cs.AI Harini Venkatesan, Christian Shelton, Ming-Feng Ho, Simeon Bird, Mengxuan Wu
AI

AtomBridge: Agentic VLA Inference Plugin for Long-Horizon Tasks in Scientific Experiments

arXiv:2602.09430v2 Announce Type: replace-cross Abstract: Robotic laboratories play a critical role in autonomous scientific discovery by enabling scalable, continuous experimental execution. Recent…

Source: arXiv cs.AI Yiwen Pang, Bo Zhou, Changjin Li, Xuanhao Wang, Shengxiang Xu, Deng-Bao Wang, Peng Cheng, Shimin Di, Jingkuan Song, Min-Ling Zhang
AI

SkillSight: Calibrating Generic Content Bias for Skill Retrieval

arXiv:2607.18785v3 Announce Type: replace Abstract: As large language model agents gain access to increasingly large skill libraries, retrieving the right skill becomes critical to reliable capability selection and…

Source: arXiv cs.AI Jinying Xiao, Bin Li, Xiaopeng Li, Jianling Li, Jiacheng Jie, Xiaodong Liu, Ma Jun, Chao Wang, Nyima Tashi, Jie Yu
AI

BiasTrace: Linking Reasoning Behaviours to Biased Outputs in LLMs

arXiv:2608.14161v1 Announce Type: new Abstract: LLMs exhibit social biases that can produce inaccurate and discriminatory inferences, posing risks in high-stakes applications. While prior work has made progress in…

Source: arXiv cs.AI Varsha Ramineni, Hossein A. Rahmani, Jerome Ramos, Karin Sevegnani, Emine Yilmaz
AI

Ontology-Grounded Project Memory for Coding Agents

arXiv:2608.13662v1 Announce Type: new Abstract: Coding agents have become the primary means of generating new code in many software projects, and the resulting velocity of changes makes keeping track of the reasons…

Source: arXiv cs.AI James Adam
AI

MedClaw: Heuristic Agent Harness for Long-Horizon Surgical Video Reasoning

arXiv:2608.14015v1 Announce Type: cross Abstract: Understanding tens-of-minutes surgical videos requires long-horizon temporal reasoning, answering what happens before, after, or across stages of a procedure by…

Source: arXiv cs.AI Yingying Fan, Penghui Du, Leyan Zhu, Runze He, Zimeng Wu, Yuxuan Zhang, Liang Chen, Jiahao Xie, Jiangtang Wang, Shuai Shao, Anchao Yang, Yutong Bai, Yan Wang
AI

AgentRewind: Recoverable Execution for Long-Horizon LLM Agents

arXiv:2608.14380v1 Announce Type: new Abstract: Many real-world tasks require LLM agents to interact with their environments over long execution horizons. Errors that occur early in execution may propagate through both…

Source: arXiv cs.AI Yu Zhuang, Kefei Chen, Yitong Duan, Shuxin Zheng, Jian Li, Xu-Yao Zhang
AI

Wyvern: An Agentic Framework for Generating Grounded Multimodal Reports

arXiv:2608.14446v1 Announce Type: new Abstract: In the current artificial intelligence-driven innovation era, the pace of knowledge growth is accelerating, and is hard to keep up with. While generative models are…

Source: arXiv cs.AI Beatrice Alessandra Motetti, Emilien Guandalino, Daniele Jahier Pagliari, Alessio Burrello, Lorenz K. M\"uller, Konstantin Berestizshevsky, Lukas Cavigelli
AI

Edge Case Detection in Automated Driving: Methods, Challenges, and Future Directions

arXiv:2410.08491v3 Announce Type: replace-cross Abstract: Automated vehicles (AVs) promise to enhance transportation safety and efficiency. However, ensuring their reliability in real-world conditions remains…

Source: arXiv cs.AI Saeed Rahmani, Sabine Rieder, Erwin de Gelder, Marcel Sonntag, Jorge Lorente Mallada, Sytze Kalisvaart, Vahid Hashemi, Bart van Arem, Simeon C. Calvert
AI

Optimal Scheduling of Road Maintenance Jobs Considering Impact on Traffic Flows

arXiv:2608.14491v1 Announce Type: cross Abstract: Network-level maintenance planning requires repeated evaluations of equilibrium traffic flows under road capacity reductions. While equilibrium traffic assignment models…

Source: arXiv cs.AI Charitha Nandepu, Lohitha Kalepu, Gabriele Ciavarella, SangWoo Park
AI

Second Thought: Reasoning in Parallel as LLM Agents Act and Observe

arXiv:2608.13667v1 Announce Type: new Abstract: LLM agents in the ReAct paradigm alternate between reasoning, acting, and observing, but deliberate reasoning is confined to the Thought phase: while the agent serializes…

Source: arXiv cs.AI Zhensu Sun, Chengran Yang, Yunbo Lyu, Jieke Shi, David Lo
AI

An InSAR Phase Unwrapping Framework for Large-scale and Complex Events

arXiv:2603.21378v2 Announce Type: replace-cross Abstract: Phase unwrapping remains a critical and challenging problem in InSAR processing, particularly in scenarios involving complex deformation patterns. In…

Source: arXiv cs.AI Yijia Song, Juliet Biggs, Alin Achim, Robert Popescu, Simon Orrego, Nantheera Anantrasirichai
AI

AI Research Preference Models

arXiv:2608.13940v1 Announce Type: new Abstract: AI research agents (AIRA) can now propose, implement, and evaluate their own machine learning experiments, but progress on frontier tasks is throttled by cost: a candidate…

Source: arXiv cs.AI Thomas Simon Foster, Bassel Al Omari, Tingchen Fu, Thomas Mann, Carl Domond, Lucia Cipolina-Kun, Bhavul Gauri, Muna Aghamelu, Alexander D. Goldie, Eryk Helenowski, Jean-Christophe Gagnon-Audet, Alber…
AI

SDO: Subspace Deconflicting Operator for Multi-Adapter Composition

arXiv:2608.13820v1 Announce Type: new Abstract: Composing independently trained adapters within a shared diffusion backbone provides a modular approach to multi-character generation, but naive joint deployment often…

Source: arXiv cs.AI Zhongsheng Wang, Zhedong Lin, Qian Liu, Xinyu Zhang, Jiamou Liu
AI

Evolve Vision-Language-Action Model into an Agent with On-the-fly Tool-use

arXiv:2608.14047v1 Announce Type: cross Abstract: This paper integrates end-to-end Visual-Language-Action (VLA) models with agentic tool-use to propose Agentic Robot with Tool-use (ART). ART is a tool-injection…

Source: arXiv cs.AI Yi Ding, Yanzhao Yu, Xili Dai, Xianbiao Qi, Peiwen Sun, Xueqian Wang, Xiangyu Yue, Jianan Wang
AI

Agent Memory EXPLAINED - Complete Architecture

Quick case study persistent memory for AI agents featuring Mem0. The architecture of long form memory for agents goes far beyond a vector search. This deep dive explains Mem0's memory stores, ingestion pipeline, hybrid…

Source: Hugging Face Hugging Face
Hardware

Using the Famicom Network System in 2026

Usually, the name ‘Famicom’ and the associated Nintendo Entertainment System (NES) don’t exactly bring to mind downloadable content and online services. However, at least in Japan, a modem add-on for …read more

Source: Hackaday Maya Posch
JavaScript

Dog Vision: I Made My Camera See Like a Dog (And Now I Can't Unsee It)

This is a submission for Weekend Challenge: Dog Days Edition What I Built I built Dog Vision, a little browser app that takes your camera feed (or a photo you upload) and shows you two versions side by side: what you…

Source: DEV JavaScript feed Courage Labhani Paul
JavaScript

Unit testing example

We have a function called capitalize that takes a string and makes the first letter uppercase function capitalize(str) { if (!str) return str; return str[0].toUpperCase() + str.slice(1); } module.exports = capitalize;…

Source: DEV JavaScript feed Chaima Bouchareb
JavaScript

Top 13 Sites to Buy South Korean Old Naver Accounts With ...

Buy Naver Accounts 🌟💬 24/7 Premium Support — Always Here for You! 🤝✨ 📱💎 WhatsApp: +1 (506) 541-7768 ✈️🚀 Telegram: @usadigitalhub 🎮🔥 Discord: usadigitalhub 📩💌 Email: usadigitalhubsell@gmail.com 🌐🌟 Visit USA Digital…

Source: DEV JavaScript feed prudencebel
General

Tell HN: GitHub Is Overloaded

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Source: Hacker News SpyCoder77