Can AI Agents Learn Their Way to the Top? Evaluating Heuristic Learning in a Long-Running Game Agent Competition Paper • 2610.12341 • Published 16 days ago • 50
Scaling and Distilling Text Embeddings for Better Diffusibility Paper • 2610.01016 • Published 23 days ago • 58
JEPA-Anything: Learning Predictive Models across Different Worlds Paper • 2609.20800 • Published Sep 17 • 79
Region-Level Policy Optimization for Fine-grained MLLM Perception Paper • 2609.19745 • Published Sep 17 • 41
WorldReward: Reward Modeling for Camera-Conditioned World Models Paper • 2609.03952 • Published Sep 3 • 28
CORE: Improving Compositional Reasoning in MLLM Embedding via Reranker Distillation Paper • 2609.04083 • Published Sep 3 • 25
LycheeMemory V2: Efficient Long-Term Memory for LLM Agents via Semantic Segment-Level Consolidation Paper • 2608.12990 • Published Aug 13 • 14
OpenART: Scaling Agent Red Teaming via Open-Ended Environment Evolution Paper • 2608.00677 • Published Aug 1 • 263
SymDiag: Explainable Diagnosis for LLM Reasoning via Neuro-Symbolic Verification Paper • 2608.08786 • Published Aug 9 • 6
Video-DeepResearch: Towards the Next-Generation Multimodal Deepresearch Agent Paper • 2608.03979 • Published Aug 4 • 36
MerchantBench: Benchmarking LLM Agents for Long-Term Coherence in E-Commerce Operations Paper • 2607.28956 • Published Jul 31 • 114
Poplar: A Scalable Pipeline for Human-Centric Image Dataset Synthesis Paper • 2608.00440 • Published Aug 1 • 11
From RLVR to RLSVR: Task Transformation Induces Self-Verifiable Rewards for Open-Ended LLM Self-Improvement Paper • 2607.23802 • Published Jul 26 • 96