arXiv:2610.33801v1 Announce Type: new Abstract: Maybe not. The Unified Medical Language System (UMLS) has become an oracle for millions of clinicians and…
InfiniteWorld: Separating Visual Evidence from Familiar Physics
arXiv:2610.33777v1 Announce Type: new Abstract: Physical reasoning requires adapting familiar expectations to the dynamics of the observed world. Existing…
The Hitchhiker’s Guide to System 1 Models: Fast Decision-Making Beyond LLMS
arXiv:2610.33775v1 Announce Type: new Abstract: Large Language Models excel at reasoning and generation but their autoregressive, token-by-token inference…
Local Entropy Fluctuations for Black-Box LLM-Generated Text Detection
arXiv:2610.33767v1 Announce Type: new Abstract: Zero-shot detection of machine-generated text is vital for mitigating the risks of large language models…
An actively trained neural operator for near-explicit atmospheric chemistry
arXiv:2610.33771v1 Announce Type: new Abstract: Earth-system models simplify atmospheric chemistry into condensed mechanisms, because near-explicit…
Unlocking the Specialization Capability of PPG Foundation Models for Wearable Signals through Structured Pruning and Adaptive Fine-Tuning
arXiv:2610.33788v1 Announce Type: new Abstract: Photoplethysmography (PPG) plays a central role in wearable health monitoring and clinical decision…
AI News Brief Hourly Summary 2026-10-27 10h : 12 posts
12 posts published in the last hour 08:50All the Facts, Still the Wrong Answer: Integration Gaps in Vision-Language Models 08:50PACE: Research Proving Agent for Adaptive Conjecture Exploration 08:50Human-Feedback-Guided Multi-Agent Inverse Reinforcement Learning for Interactive Driving Behavior Modeling 08:50Seeing the Options:…
All the Facts, Still the Wrong Answer: Integration Gaps in Vision-Language Models
arXiv:2610.33764v1 Announce Type: new Abstract: Multimodal reasoning requires models to combine multiple pieces of evidence into decisions that satisfy…
PACE: Research Proving Agent for Adaptive Conjecture Exploration
arXiv:2610.33690v1 Announce Type: new Abstract: Many mathematical research agents focus on solving problems with fixed statements. However, conjecture…
Human-Feedback-Guided Multi-Agent Inverse Reinforcement Learning for Interactive Driving Behavior Modeling
arXiv:2610.33726v1 Announce Type: new Abstract: Modeling human driving behavior is fundamental to understanding driver decision-making and supporting…
Seeing the Options: Typed Decisions over Visual Candidates with Reusable Option Memory
arXiv:2610.33702v1 Announce Type: new Abstract: Typed decision-making tasks in agents, such as UI element selection, product recommendation, and chart…
More: Mode-Optimized Reasoning with Self-Adaptive Effort for Self-Evolving Agents
arXiv:2610.33684v1 Announce Type: new Abstract: Self-evolving training improves the performance of agents on difficult tasks through verifiable feedback,…
Jointly Modeling Preferences and Imperfect Decision-Making in Large Language Models
arXiv:2610.33651v1 Announce Type: new Abstract: Do preferences Large Language Models (LLMs) express in standard elicitation tasks predict their strategic…
SWE-Ladder: Learning to Localize, Reproduce, and Patch via Progressive Privileged Self-Distillation
arXiv:2610.33667v1 Announce Type: new Abstract: Resolving a repository-level issue typically requires a software-engineering (SWE) agent to localize the…
Meta-CLIP: Metadata-Conditioned Contrastive Learning for Zero-Shot Disease Inference
arXiv:2610.33674v1 Announce Type: new Abstract: Medical vision–language pretraining learns transferable representations from paired images and radiology…
Physics-Informed Graph-Based Safe RL with Constraint-Specific Critics for Community Battery Coordination in Distribution Network
arXiv:2610.33654v1 Announce Type: new Abstract: High penetrations of distributed energy resources (DERs) and fast-varying electric vehicle (EV) charging…
SAP advances its autonomous enterprise push with smarter, governed Joule agents
SAP SE today announced a set of artificial intelligence innovations at its annual TechEd conference for developers, enhancing its Joule assistant…
Power-of-Two Leaky Integrate-and-Fire Neurons for Event-Driven Vision-Language-Action Inference
arXiv:2610.33658v1 Announce Type: new Abstract: Vision-language-action (VLA) models have demonstrated strong capabilities in robotic manipulation, yet…