InternVL3.5: Advancing Open-Source Multimodal Models in Versatility, Reasoning, and Efficiency Paper • 2508.18265 • Published Aug 25, 2025 • 211
Intern-S1: A Scientific Multimodal Foundation Model Paper • 2508.15763 • Published Aug 21, 2025 • 259
On the Generalization of SFT: A Reinforcement Learning Perspective with Reward Rectification Paper • 2508.05629 • Published Aug 7, 2025 • 180
Is Chain-of-Thought Reasoning of LLMs a Mirage? A Data Distribution Lens Paper • 2508.01191 • Published Aug 2, 2025 • 238
CompassVerifier: A Unified and Robust Verifier for LLMs Evaluation and Outcome Reward Paper • 2508.03686 • Published Aug 5, 2025 • 37
The Invisible Leash: Why RLVR May Not Escape Its Origin Paper • 2507.14843 • Published Jul 20, 2025 • 85
CompassJudger-2: Towards Generalist Judge Model via Verifiable Rewards Paper • 2507.09104 • Published Jul 12, 2025 • 17
Skip a Layer or Loop it? Test-Time Depth Adaptation of Pretrained LLMs Paper • 2507.07996 • Published Jul 10, 2025 • 34
Rethinking Verification for LLM Code Generation: From Generation to Testing Paper • 2507.06920 • Published Jul 9, 2025 • 28
Coding Triangle: How Does Large Language Model Understand Code? Paper • 2507.06138 • Published Jul 8, 2025 • 21
Deciphering Trajectory-Aided LLM Reasoning: An Optimization Perspective Paper • 2505.19815 • Published May 26, 2025 • 36
InternVL3: Exploring Advanced Training and Test-Time Recipes for Open-Source Multimodal Models Paper • 2504.10479 • Published Apr 14, 2025 • 306
Tulu 3 Datasets Collection All datasets released with Tulu 3 -- state of the art open post-training recipes. • 33 items • Updated 13 days ago • 96
OmniAlign-V: Towards Enhanced Alignment of MLLMs with Human Preference Paper • 2502.18411 • Published Feb 25, 2025 • 74
Exploring the Limit of Outcome Reward for Learning Mathematical Reasoning Paper • 2502.06781 • Published Feb 10, 2025 • 58
Condor: Enhance LLM Alignment with Knowledge-Driven Data Synthesis and Refinement Paper • 2501.12273 • Published Jan 21, 2025 • 14