REINFORCE++: A Simple and Efficient Approach for Aligning Large Language Models Paper • 2501.03262 • Published Jan 4 • 99
MiniMax-01: Scaling Foundation Models with Lightning Attention Paper • 2501.08313 • Published Jan 14 • 289
SmolLM2: When Smol Goes Big -- Data-Centric Training of a Small Language Model Paper • 2502.02737 • Published Feb 4 • 229
Steel-LLM:From Scratch to Open Source -- A Personal Journey in Building a Chinese-Centric LLM Paper • 2502.06635 • Published Feb 10 • 4
Predictive Data Selection: The Data That Predicts Is the Data That Teaches Paper • 2503.00808 • Published Mar 2 • 57
Exploring Data Scaling Trends and Effects in Reinforcement Learning from Human Feedback Paper • 2503.22230 • Published Mar 28 • 44