VibeThinker-3B: Exploring the Frontier of Verifiable Reasoning in Small Language Models Paper • 2606.16140 • Published Jun 15 • 126
DataFlow: An LLM-Driven Framework for Unified Data Preparation and Workflow Automation in the Era of Data-Centric AI Paper • 2512.16676 • Published Dec 18, 2025 • 226
Reflect, Retry, Reward: Self-Improving LLMs via Reinforcement Learning Paper • 2505.24726 • Published May 30, 2025 • 283
GLM-4.1V-Thinking: Towards Versatile Multimodal Reasoning with Scalable Reinforcement Learning Paper • 2507.01006 • Published Jul 1, 2025 • 257
MiniMax-M1: Scaling Test-Time Compute Efficiently with Lightning Attention Paper • 2506.13585 • Published Jun 16, 2025 • 278
AdaCoT: Pareto-Optimal Adaptive Chain-of-Thought Triggering via Reinforcement Learning Paper • 2505.11896 • Published May 17, 2025 • 58
Sailing AI by the Stars: A Survey of Learning from Rewards in Post-Training and Test-Time Scaling of Large Language Models Paper • 2505.02686 • Published May 5, 2025 • 16
Insights into DeepSeek-V3: Scaling Challenges and Reflections on Hardware for AI Architectures Paper • 2505.09343 • Published May 14, 2025 • 79
DeepSeek-R1: Incentivizing Reasoning Capability in LLMs via Reinforcement Learning Paper • 2501.12948 • Published Jan 22, 2025 • 463