Memory is Reconstructed, Not Retrieved: Graph Memory for LLM Agents
Paper • 2606.06036 • Published • 77
ADR
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EvoArena: Tracking Memory Evolution for Robust LLM Agents in Dynamic Environments
Paper • 2606.13681 • Published • 146 -
The Personalization Mirage: How LLMs Fabricate User Profiles, and Why Self-Monitoring Misleads
Paper • 2608.04570 • Published • 40 -
To Add Is Machine, To Delete Is Human: Measuring and Mitigating Deletion Avoidance in LLM Code Editing
Paper • 2607.28887 • Published • 21 -
Small Foundation Models of Human Cognition and Behaviour
Paper • 2608.05224 • Published • 23 -
On-Policy Self-Distillation without Any Supervision
Paper • 2608.06296 • Published • 179 -
Scaling Inherently Interpretable Language Models
Paper • 2608.07594 • Published • 21 -
How Can Rhetoric Reward-Hack AI Reviewers? Dissecting Rhetorical Sensitivity in AI-Based Peer Review
Paper • 2608.08975 • Published • 48 -
Beyond Final Scores: A Systematic Evaluation of Agents for Long-Horizon AI Research and Development
Paper • 2608.13417 • Published • 59 -
Forecast Collapse in Time-Series Foundation Models
Paper • 2608.14106 • Published • 10 -
How Do Agents Fail on AutoResearch: End-to-End Diagnostic Evaluation on 100 Real-World Frontier Research Tasks
Paper • 2608.14905 • Published • 31