2.5 Years in Class: A Multimodal Textbook for Vision-Language Pretraining
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Are Vision-Language Models Truly Understanding Multi-vision Sensor?
Paper • 2412.20750 • Published • 19 -
Do NOT Think That Much for 2+3=? On the Overthinking of o1-Like LLMs
Paper • 2412.21187 • Published • 40 -
HuatuoGPT-o1, Towards Medical Complex Reasoning with LLMs
Paper • 2412.18925 • Published • 106 -
Mulberry: Empowering MLLM with o1-like Reasoning and Reflection via Collective Monte Carlo Tree Search
Paper • 2412.18319 • Published • 39 -
Satori: Reinforcement Learning with Chain-of-Action-Thought Enhances LLM Reasoning via Autoregressive Search
Paper • 2502.02508 • Published • 22 -
Process Reinforcement through Implicit Rewards
Paper • 2502.01456 • Published • 61 -
PhD Knowledge Not Required: A Reasoning Challenge for Large Language Models
Paper • 2502.01584 • Published • 9 -
s1: Simple test-time scaling
Paper • 2501.19393 • Published • 124 -
Reward-Guided Speculative Decoding for Efficient LLM Reasoning
Paper • 2501.19324 • Published • 39 -
SFT Memorizes, RL Generalizes: A Comparative Study of Foundation Model Post-training
Paper • 2501.17161 • Published • 123 -
Open Problems in Mechanistic Interpretability
Paper • 2501.16496 • Published • 20 -
Qwen2.5-1M Technical Report
Paper • 2501.15383 • Published • 72 -
Baichuan-Omni-1.5 Technical Report
Paper • 2501.15368 • Published • 60 -
Can We Generate Images with CoT? Let's Verify and Reinforce Image Generation Step by Step
Paper • 2501.13926 • Published • 43 -
Pairwise RM: Perform Best-of-N Sampling with Knockout Tournament
Paper • 2501.13007 • Published • 19 -
MMVU: Measuring Expert-Level Multi-Discipline Video Understanding
Paper • 2501.12380 • Published • 84