Self-Evolving Coding Agents via Harness-Policy Optimization Paper • 2610.22791 • Published 9 days ago • 56
EmbodiedCLBench: Evaluating Continual Learning for Self-Evolving Embodied Agents Paper • 2610.13021 • Published 16 days ago • 76
Harness^2: Recursive Agent Harnessing for an Open World Paper • 2610.14224 • Published 16 days ago • 123
ReSI: Recursive Safety Improvement toward Resistant and Resilient AI Paper • 2610.12233 • Published 17 days ago • 30
PluginRSI: Recursive Improvement of Agent Harnesses with Reusable Plugins Paper • 2609.32423 • Published 29 days ago • 11
Jev-Mem: System-One-Controlled Agentic Memory for Efficient AI Agents Paper • 2609.23986 • Published Sep 21 • 31
UrbanGround: From Local Perception to Spatial Agency in a Real-Scale City Paper • 2608.27456 • Published Aug 27 • 84
JIT-Agent: Scaling Harness Intelligence via Just-in-Time Harness Evolution Paper • 2608.25593 • Published Aug 26 • 115
MemTrapBench: Benchmarking Cognitive Traps in LLM Memory Use Paper • 2608.20202 • Published Aug 20 • 35
SKT: Skill-Use Training at Scale via Verified Synthetic Data Generation Paper • 2608.02287 • Published Aug 3 • 32
AgentOPSD: Recursive Self-Distillation for Agentic Reinforcement Learning Paper • 2608.05987 • Published Aug 6 • 105
SkillRise: Agentic Reinforcement Learning for Cross-Task Skill Evolution Paper • 2607.26784 • Published Jul 29 • 29
MPIE-Bench: Benchmarking Anatomically Plausible Multi-Person Interaction Editing Paper • 2607.27616 • Published Jul 30 • 41
Beyond Borrowed Histories: Person-Aligned User Simulation for Interactive Role-Playing Evaluation Paper • 2607.27816 • Published Jul 30 • 35
BM25 Wins at Scale: A Scaling Study of Retrieval-Augmented Generation Paradigms Paper • 2607.26497 • Published Jul 30 • 54
HOMIE: Human-object Centric Video Personalization via Multimodal Intelligent Enchancement Paper • 2607.18217 • Published Jul 20 • 64
Search Beyond What Can Be Taught: Evolving the Knowledge Boundary in Agentic Visual Generation Paper • 2607.05382 • Published Jul 9 • 83
Read It Back: Pretrained MLLMs Are Zero-Shot Reward Models for Text-to-Image Generation Paper • 2607.11886 • Published Jul 13 • 78