LEGO-RL: Harness-Native Reinforcement Learning for Coding Agents Paper • 2608.17393 • Published 4 days ago • 22
Lego-RL Collection Harness-native RL for coding agents: the trained policy and the training task index. • 3 items • Updated 2 days ago • 10
MemLens: Benchmarking Multimodal Long-Term Memory in Large Vision-Language Models Paper • 2605.14906 • Published May 14 • 79
MemLens: Benchmarking Multimodal Long-Term Memory in Large Vision-Language Models Paper • 2605.14906 • Published May 14 • 79
Training Long-Context Vision-Language Models Effectively with Generalization Beyond 128K Context Paper • 2605.13831 • Published May 13 • 90
SWE-Lego: Pushing the Limits of Supervised Fine-tuning for Software Issue Resolving Paper • 2601.01426 • Published Jan 4 • 25
SWE-Lego: Pushing the Limits of Supervised Fine-tuning for Software Issue Resolving Paper • 2601.01426 • Published Jan 4 • 25
Bridging the Long-Term Gap: A Memory-Active Policy for Multi-Session Task-Oriented Dialogue Paper • 2505.20231 • Published May 26, 2025
ReSURE: Regularizing Supervision Unreliability for Multi-turn Dialogue Fine-tuning Paper • 2508.19996 • Published Aug 27, 2025
Memory-T1: Reinforcement Learning for Temporal Reasoning in Multi-session Agents Paper • 2512.20092 • Published Dec 23, 2025 • 9
Memory-T1: Reinforcement Learning for Temporal Reasoning in Multi-session Agents Paper • 2512.20092 • Published Dec 23, 2025 • 9