M1: Towards Scalable Test-Time Compute with Mamba Reasoning Models Paper • 2504.10449 • Published 7 days ago • 10
VL-Rethinker: Incentivizing Self-Reflection of Vision-Language Models with Reinforcement Learning Paper • 2504.08837 • Published 11 days ago • 41
Think Before Recommend: Unleashing the Latent Reasoning Power for Sequential Recommendation Paper • 2503.22675 • Published 24 days ago • 34
Challenging the Boundaries of Reasoning: An Olympiad-Level Math Benchmark for Large Language Models Paper • 2503.21380 • Published 25 days ago • 37
Open Deep Search: Democratizing Search with Open-source Reasoning Agents Paper • 2503.20201 • Published 27 days ago • 46
Think Twice: Enhancing LLM Reasoning by Scaling Multi-round Test-time Thinking Paper • 2503.19855 • Published 27 days ago • 26
Spot the Fake: Large Multimodal Model-Based Synthetic Image Detection with Artifact Explanation Paper • 2503.14905 • Published Mar 19 • 20
Long-Context Autoregressive Video Modeling with Next-Frame Prediction Paper • 2503.19325 • Published 28 days ago • 72
CoLLM: A Large Language Model for Composed Image Retrieval Paper • 2503.19910 • Published 27 days ago • 12
AlphaDrive: Unleashing the Power of VLMs in Autonomous Driving via Reinforcement Learning and Reasoning Paper • 2503.07608 • Published Mar 10 • 21
Phi-4-Mini Technical Report: Compact yet Powerful Multimodal Language Models via Mixture-of-LoRAs Paper • 2503.01743 • Published Mar 3 • 84
Token-Efficient Long Video Understanding for Multimodal LLMs Paper • 2503.04130 • Published Mar 6 • 93
Logic-RL: Unleashing LLM Reasoning with Rule-Based Reinforcement Learning Paper • 2502.14768 • Published Feb 20 • 48
Intuitive physics understanding emerges from self-supervised pretraining on natural videos Paper • 2502.11831 • Published Feb 17 • 18
How Do LLMs Acquire New Knowledge? A Knowledge Circuits Perspective on Continual Pre-Training Paper • 2502.11196 • Published Feb 16 • 22
ReLearn: Unlearning via Learning for Large Language Models Paper • 2502.11190 • Published Feb 16 • 29