Is Complex Agentic Memory Always Needed? Naive RAG Is Stronger Than We Thought Paper • 2610.30755 • Published 17 days ago • 22
Deep Fusion Memory: A Chunk-Level Parametric Memory for Large Language Models Paper • 2610.25100 • Published 21 days ago • 48
Running 288 The ultimate guide to multi-harness RL 🔀 288 Train open models with RL inside real agent harnesses
CoworkEnv: Synthesizing Training Environments for Long-Horizon Cowork Agents Paper • 2610.24960 • Published 21 days ago • 45
Towards In-Parameter Memory Augmentation for Large Language Models Paper • 2610.08630 • Published Oct 6 • 8
AutoGraph-R1: End-to-End Reinforcement Learning for Knowledge Graph Construction Paper • 2510.15339 • Published Oct 17, 2025 • 1
AutoSchemaKG: Autonomous Knowledge Graph Construction through Dynamic Schema Induction from Web-Scale Corpora Paper • 2505.23628 • Published May 29, 2025
Towards In-Parameter Memory Augmentation for Large Language Models Paper • 2610.08630 • Published Oct 6 • 8
Towards In-Parameter Memory Augmentation for Large Language Models Paper • 2610.08630 • Published Oct 6 • 8
CorrGRPO: Correlation-Normalized GRPO for Multi-Reward Learning Paper • 2609.36820 • Published Sep 29 • 19
E-Commerce Bench: Evaluating LLM Agents on Long-Horizon Autonomous Business Operation Paper • 2608.30730 • Published Aug 31 • 18
EvolvingWorld: An Open-Schema Framework for Co-Evolving Role-Play Agents and World Model in Interactive Literary World Paper • 2607.17250 • Published Jul 19 • 87
PatchWorld: Gradient-Free Optimization of Executable World Models Paper • 2605.30880 • Published May 29 • 12
PatchWorld: Gradient-Free Optimization of Executable World Models Paper • 2605.30880 • Published May 29 • 12