GlucoFM: Foundation model for continuous glucose monitoring
Health & Bioscience
Daily edition · AI Research
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622 articles · 5 sources · 622 papers ·
Top topics: AI · AI Research · Python
How Does a RAG Reranker Really Work?
Enterprise Document Intelligence [Vol.1 #2D] - What data scientists say when asked, what the model actually does under the hood, and why the honest answer changes your architecture decisions in enterprise RAG The post…
How to Effectively Solve 100+ Tasks with Claude Code
Work more effectively with your coding agents The post How to Effectively Solve 100+ Tasks with Claude Code appeared first on Towards Data Science.
Why Random Forest Needs to Be This Random
Bagging hits a wall no amount of trees can break — here's the equation that explains why, and the experiment that proves it The post Why Random Forest Needs to Be This Random appeared first on Towards Data Science.
Is Agentic AI Just Automation?
Why most agents are just flowcharts in disguise, and what to build instead. The post Is Agentic AI Just Automation? appeared first on Towards Data Science.
Confidently Wrong, Silently So: Auditing Undetectable Failures of a Deployed On-Device Language Model
arXiv:2608.23663v1 Announce Type: cross Abstract: Aligning deployed language models requires knowing when their outputs can be trusted, yet on-device models now ship to hundreds of millions of devices with no…
Diverse by Reasoning: Harnessing the Wisdom of LLM Crowds for Future Prediction
arXiv:2608.24001v1 Announce Type: new Abstract: Large language models (LLMs) are increasingly used for future prediction, motivating the use of multiple models as a wisdom-of-the-crowd mechanism. However, simply…
Simthesizer: An Agent-Driven Simulation Framework for LLM Serving Systems
arXiv:2608.24650v1 Announce Type: cross Abstract: System-level simulation is an essential tool for exploring the rapidly expanding design space of LLM serving systems, where real deployments remain costly and often…
Rebuild Dossier: Mechanically-Enforced Specs for Agentic App Rebuilds, and What Model-Tier Failures Reveal
arXiv:2608.23616v1 Announce Type: cross Abstract: An AI agent's rebuild is only as good as the process that produced it. Prior work found that once a model is strong enough, a multi-agent rebuild pipeline loses to the…
AI Finds A Way
arXiv:2608.23875v1 Announce Type: new Abstract: Artificial Intelligence (AI) algorithms frequently learn creative and unexpected solutions, surprising even expert researchers who develop and study them. They often…
UCO: A Multi-Turn Interactive Reinforcement Learning Method for Adaptive Teaching with Large Language Models
arXiv:2511.08873v3 Announce Type: replace Abstract: Large language models (LLMs) are shifting from answer providers to intelligent tutors in educational settings, yet current supervised fine-tuning methods only learn…
AgentWorld: Personality-Aware Reliability Evaluation for Agentic Information Retrieval
arXiv:2608.24076v1 Announce Type: new Abstract: Evaluation of agentic information retrieval remains limited to scripted interactions with uniform users, missing both natural personality diversity and adversarial…
Topology-Guided Modular Actor-Critic Learning for Continuous Systems under Temporal Objectives
arXiv:2304.10041v2 Announce Type: replace Abstract: This work investigates formal policy synthesis for continuous-state stochastic dynamic systems subject to high-level specifications expressed in linear temporal logic.…
Matched Excess-Outranker Regularization for Candidate-Set Interference in Continual Knowledge Graph Embedding
arXiv:2608.24273v1 Announce Type: new Abstract: Continual knowledge graph embedding updates entity and relation representations as a graph grows. Existing methods primarily address catastrophic forgetting, but entity…
The Invisible Editorial Layer: Formalizing Undisclosed Inference-Time Steering, Probability Placement, and the Attribution Problem in Deployed Language Models
arXiv:2608.24662v1 Announce Type: new Abstract: Large language models (LLMs) are commonly evaluated under the assumption that their observable behavior is primarily determined by model weights, training data, alignment…
Aggregation-Aware Synthetic Text Generation Against Authorship Re-Identification
arXiv:2608.22161v1 Announce Type: cross Abstract: Online users often release multiple texts under the same identity, giving attackers an author profile that can reveal more than any single text. Existing authorship…
Models in the Same Family are NOT Trust-Equivalent
arXiv:2508.13533v2 Announce Type: replace Abstract: Within a model family, a smaller variant is often deployed as a drop-in replacement for a larger one when their performance is similar. However, performance alone does…
The Greatness of Science Cannot Be Planned: Agentic Auto-Research is Fuzz Testing
arXiv:2608.09855v2 Announce Type: replace-cross Abstract: Agentic auto-research is emerging, but most systems treat scientific discovery as goal-oriented optimization against a final benchmark. This paradigm rewards a…
AutoSaddler: Automatic Harness Optimization with Durable Updates from Agent Execution Traces
arXiv:2608.23041v1 Announce Type: cross Abstract: LLM agents remain unreliable on long-horizon tasks, where small local failures can compound over extended interactions and lead to overall task failure. Although…
Massive Activations in Hybrid Linear Attention Large Language Models: Pre-Attention Spikes and Inter-Spike Plateaus
arXiv:2608.12149v2 Announce Type: replace Abstract: We present the first systematic study of Massive activations (MAs) in layer-interleaved HLA LLMs and uncover two architecture-aligned morphologies: MAs consistently…
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