arXiv:2604.07042v3 Announce Type: replace Abstract: Most research in planning focuses on generating a plan to achieve a desired set of goals. However, a…
CuSearch: Curriculum Rollout Sampling via Search Depth for Agentic RAG
arXiv:2605.11611v3 Announce Type: replace Abstract: Reinforcement Learning with Verifiable Rewards (RLVR) has emerged as a promising paradigm for training…
When Does Critique Improve AI-Assisted Theoretical Physics? SCALAR: Structured Critic–Actor Loop for Agentic Reasoning
arXiv:2605.06772v2 Announce Type: replace Abstract: As large language models (LLMs) show increasing promise on research-level physics reasoning tasks and…
General Catalyst leads $1.1B round into 2-month-old River AI
River AI, a startup founded by xAI co-founder Igor Babuschkin, has a fascinating vision for personal agents and secured $1.1 billion out of the gate.
Memory-Augmented Reinforcement Learning Agent for CAD Generation
arXiv:2605.19748v2 Announce Type: replace Abstract: Automatic generation of computer-aided design (CAD) models is a core technology for enabling…
Anthropic Red Team Finds Claude Agent Swarms Collude, Conform, and Sabotage
Anthropic’s Frontier Red Team has published a set of experiments showing that swarms of its own Claude models, left to interact with one another, collude…
Auditing Automated Evaluation, Error Propagation, and Runtime Mitigation in Tool-Using Language Agents
arXiv:2604.16706v2 Announce Type: replace Abstract: Automated evaluation of tool-using large language model (LLM) agents is widely assumed to be reliable,…
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.…
Closing a 17-Year Gap: Algorithmic Detection and Empirical Prevalence of Rank Reversal in Multi-Criteria Decision Analysis
arXiv:2508.00129v2 Announce Type: replace Abstract: Rank Reversal, where the relative order of alternatives changes in ways that violate axioms of…
AMIE, our research medical AI system, demonstrates real-time clinical video consultation capabilities in a first-of-its-kind study.
AMIE promotional video