The Past Frames the Future: Memory for Autoregressive Video Generation Paper • 2609.28466 • Published 11 days ago • 64
Rethinking Critic Learning in PPO: Understanding and Mitigating Value Flattening Paper • 2609.18708 • Published 18 days ago • 84
NCP-ArchPreview Technical Report: Moving towards Latent Space Language Models through Next Concept Prediction Paper • 2609.10715 • Published 25 days ago • 331
Can LLM Agents Stick to the Script? A Benchmark for Long-Horizon Consistency in Interactive Narratives Paper • 2608.08160 • Published Aug 8 • 30
PolicyShiftGuard: Benchmarking and Improving Policy-Adaptive Image Guardrails Paper • 2607.05910 • Published Jul 7 • 31
EvoPolicyGym: Evaluating Autonomous Policy Evolution in Interactive Environments Paper • 2607.02440 • Published Jul 2 • 49
MaxProof: Scaling Mathematical Proof with Generative-Verifier RL and Population-Level Test-Time Scaling Paper • 2606.13473 • Published Jun 11 • 99
ComBench: A Benchmark for Rigorous Proof Reasoning and Constructive Realization in Olympiad-Level Combinatorics Paper • 2606.10479 • Published Jun 9 • 21
SceneCode: Executable World Programs for Editable Indoor Scenes with Articulated Objects Paper • 2605.19587 • Published May 19 • 10
π-Bench: Evaluating Proactive Personal Assistant Agents in Long-Horizon Workflows Paper • 2605.14678 • Published May 19 • 96
Achieving Gold-Medal-Level Olympiad Reasoning via Simple and Unified Scaling Paper • 2605.13301 • Published May 13 • 166
Teaching Thinking Models to Reason with Tools: A Full-Pipeline Recipe for Tool-Integrated Reasoning Paper • 2605.06326 • Published May 7 • 26
TEMPO: Scaling Test-time Training for Large Reasoning Models Paper • 2604.19295 • Published Apr 21 • 37
GEMS: Agent-Native Multimodal Generation with Memory and Skills Paper • 2603.28088 • Published Mar 30 • 84
view article Article Your MoE Model Does Not Have to Select Fixed Number of Experts Spico • Feb 26 • 8
view article Article Your MoE Model Does Not Have to Select Fixed Number of Experts Spico • Feb 26 • 8
Think Longer to Explore Deeper: Learn to Explore In-Context via Length-Incentivized Reinforcement Learning Paper • 2602.11748 • Published Feb 12 • 28