REINFORCE++: A Simple and Efficient Approach for Aligning Large Language Models
Paper • 2501.03262 • Published • 104
LLM
-
-
MiniMax-01: Scaling Foundation Models with Lightning Attention
Paper • 2501.08313 • Published • 302 -
Towards Best Practices for Open Datasets for LLM Training
Paper • 2501.08365 • Published • 62 -
Qwen2.5-1M Technical Report
Paper • 2501.15383 • Published • 72 -
SmolLM2: When Smol Goes Big -- Data-Centric Training of a Small Language Model
Paper • 2502.02737 • Published • 258 -
Steel-LLM:From Scratch to Open Source -- A Personal Journey in Building a Chinese-Centric LLM
Paper • 2502.06635 • Published • 6 -
Predictive Data Selection: The Data That Predicts Is the Data That Teaches
Paper • 2503.00808 • Published • 57 -
Exploring Data Scaling Trends and Effects in Reinforcement Learning from Human Feedback
Paper • 2503.22230 • Published • 45 -
WorldPM: Scaling Human Preference Modeling
Paper • 2505.10527 • Published • 34 -
Qwen3 Technical Report
Paper • 2505.09388 • Published • 339 -
Model Merging in Pre-training of Large Language Models
Paper • 2505.12082 • Published • 39 -
QwenLong-L1: Towards Long-Context Large Reasoning Models with Reinforcement Learning
Paper • 2505.17667 • Published • 88