When Models Judge Themselves: Unsupervised Self-Evolution for Multimodal Reasoning Paper • 2603.21289 • Published 10 days ago • 34
Out of Sight but Not Out of Mind: Hybrid Memory for Dynamic Video World Models Paper • 2603.25716 • Published 6 days ago • 145
ShotStream: Streaming Multi-Shot Video Generation for Interactive Storytelling Paper • 2603.25746 • Published 6 days ago • 149
MinerU-Diffusion: Rethinking Document OCR as Inverse Rendering via Diffusion Decoding Paper • 2603.22458 • Published 9 days ago • 131
Generation Models Know Space: Unleashing Implicit 3D Priors for Scene Understanding Paper • 2603.19235 • Published 13 days ago • 93
InCoder-32B: Code Foundation Model for Industrial Scenarios Paper • 2603.16790 • Published 15 days ago • 306
Bootstrapping Exploration with Group-Level Natural Language Feedback in Reinforcement Learning Paper • 2603.04597 • Published 28 days ago • 210
Heterogeneous Agent Collaborative Reinforcement Learning Paper • 2603.02604 • Published 30 days ago • 191
Code2Math: Can Your Code Agent Effectively Evolve Math Problems Through Exploration? Paper • 2603.03202 • Published 29 days ago • 17
From Blind Spots to Gains: Diagnostic-Driven Iterative Training for Large Multimodal Models Paper • 2602.22859 • Published Feb 26 • 151
Does Your Reasoning Model Implicitly Know When to Stop Thinking? Paper • 2602.08354 • Published Feb 9 • 262
VESPO: Variational Sequence-Level Soft Policy Optimization for Stable Off-Policy LLM Training Paper • 2602.10693 • Published Feb 11 • 220
SQuTR: A Robustness Benchmark for Spoken Query to Text Retrieval under Acoustic Noise Paper • 2602.12783 • Published Feb 13 • 170
TermiGen: High-Fidelity Environment and Robust Trajectory Synthesis for Terminal Agents Paper • 2602.07274 • Published Feb 6 • 208
Less is Enough: Synthesizing Diverse Data in Feature Space of LLMs Paper • 2602.10388 • Published Feb 11 • 244
Think Longer to Explore Deeper: Learn to Explore In-Context via Length-Incentivized Reinforcement Learning Paper • 2602.11748 • Published Feb 12 • 35
The Devil Behind Moltbook: Anthropic Safety is Always Vanishing in Self-Evolving AI Societies Paper • 2602.09877 • Published Feb 10 • 197