arXiv:2604.16706v2 Announce Type: replace Abstract: Automated evaluation of tool-using large language model (LLM) agents is widely assumed to be reliable,…
Author: script
AI News Brief Hourly Summary 2026-08-13 04h : 12 posts
12 posts were published in the last hour 1:32 : Leveraging Large Language Models for Causal Discovery: a Constraint-based, Argumentation-driven Approach 1:32 : On The Statistical Limits of Self-Improving Agents 1:32 : JEPA-DNA: Grounding Genomic Foundation Models through Joint-Embedding Predictive…
Leveraging Large Language Models for Causal Discovery: a Constraint-based, Argumentation-driven Approach
arXiv:2602.16481v2 Announce Type: replace Abstract: Causal discovery seeks to uncover causal relations from data, typically represented as causal graphs,…
On The Statistical Limits of Self-Improving Agents
arXiv:2510.04399v3 Announce Type: replace Abstract: We develop a learning-theoretic framework for analyzing self-improving agents by decomposing…
JEPA-DNA: Grounding Genomic Foundation Models through Joint-Embedding Predictive Architectures
arXiv:2602.17162v3 Announce Type: replace Abstract: Genomic Foundation Models (GFMs) typically rely on Masked Language Modeling (MLM) or Next-Token…
Situation Graph Prediction for User Perspective Modeling
arXiv:2602.13319v2 Announce Type: replace Abstract: Perspective-aware AI requires modeling evolving internal states—goals, emotions, contexts—not…
CoEvoSkills: Self-Evolving Agent Skills via Co-Evolutionary Verification
arXiv:2604.01687v3 Announce Type: replace Abstract: Anthropic proposes the concept of skills for LLM agents to tackle multi-step professional tasks that…
Surgical WAM: A World-Action Model for Data-Efficient Surgical Robot Learning
arXiv:2608.11204v1 Announce Type: cross Abstract: Learning reliable surgical manipulation policies is bottlenecked by the scarcity of action-labeled…
Representation and Invariance in Reinforcement Learning
arXiv:2112.07752v5 Announce Type: replace Abstract: Researchers have formalized reinforcement learning (RL) in different ways. If an agent in one RL…
GAM-Agent: Game-Theoretic and Uncertainty-Aware Collaboration for Complex Visual Reasoning
arXiv:2505.23399v2 Announce Type: replace Abstract: We propose GAM-Agent, a game-theoretic multi-agent framework for enhancing vision-language reasoning.…