view article Article Fine-Tuning Your First Large Language Model (LLM) with PyTorch and Hugging Face Feb 11, 2025 • 93
Aha Moment Revisited: Are VLMs Truly Capable of Self Verification in Inference-time Scaling? Paper • 2506.17417 • Published Jun 20, 2025 • 11
Does Reinforcement Learning Really Incentivize Reasoning Capacity in LLMs Beyond the Base Model? Paper • 2504.13837 • Published Apr 18, 2025 • 139
SmolVLM: Redefining small and efficient multimodal models Paper • 2504.05299 • Published Apr 7, 2025 • 202
Advances and Challenges in Foundation Agents: From Brain-Inspired Intelligence to Evolutionary, Collaborative, and Safe Systems Paper • 2504.01990 • Published Mar 31, 2025 • 301
AlphaOne: Reasoning Models Thinking Slow and Fast at Test Time Paper • 2505.24863 • Published May 30, 2025 • 97
Will It Still Be True Tomorrow? Multilingual Evergreen Question Classification to Improve Trustworthy QA Paper • 2505.21115 • Published May 27, 2025 • 140
ProRL: Prolonged Reinforcement Learning Expands Reasoning Boundaries in Large Language Models Paper • 2505.24864 • Published May 30, 2025 • 143
Absolute Zero: Reinforced Self-play Reasoning with Zero Data Paper • 2505.03335 • Published May 6, 2025 • 188
Perception, Reason, Think, and Plan: A Survey on Large Multimodal Reasoning Models Paper • 2505.04921 • Published May 8, 2025 • 185
SmolVLA: A Vision-Language-Action Model for Affordable and Efficient Robotics Paper • 2506.01844 • Published Jun 2, 2025 • 147
Confidence Is All You Need: Few-Shot RL Fine-Tuning of Language Models Paper • 2506.06395 • Published Jun 5, 2025 • 133
Beyond the 80/20 Rule: High-Entropy Minority Tokens Drive Effective Reinforcement Learning for LLM Reasoning Paper • 2506.01939 • Published Jun 2, 2025 • 187
Reflect, Retry, Reward: Self-Improving LLMs via Reinforcement Learning Paper • 2505.24726 • Published May 30, 2025 • 277
MiniMax-M1: Scaling Test-Time Compute Efficiently with Lightning Attention Paper • 2506.13585 • Published Jun 16, 2025 • 273