SmolLM2: When Smol Goes Big -- Data-Centric Training of a Small Language Model Paper • 2502.02737 • Published 7 days ago • 154
Critique Fine-Tuning: Learning to Critique is More Effective than Learning to Imitate Paper • 2501.17703 • Published 14 days ago • 51
Test-Time Preference Optimization: On-the-Fly Alignment via Iterative Textual Feedback Paper • 2501.12895 • Published 21 days ago • 55
DeepSeek-R1: Incentivizing Reasoning Capability in LLMs via Reinforcement Learning Paper • 2501.12948 • Published 21 days ago • 316
Demons in the Detail: On Implementing Load Balancing Loss for Training Specialized Mixture-of-Expert Models Paper • 2501.11873 • Published 22 days ago • 63
MiniMax-01: Scaling Foundation Models with Lightning Attention Paper • 2501.08313 • Published 29 days ago • 273
REINFORCE++: A Simple and Efficient Approach for Aligning Large Language Models Paper • 2501.03262 • Published Jan 4 • 90
CodeElo: Benchmarking Competition-level Code Generation of LLMs with Human-comparable Elo Ratings Paper • 2501.01257 • Published Jan 2 • 48
ProgCo: Program Helps Self-Correction of Large Language Models Paper • 2501.01264 • Published Jan 2 • 25
MAmmoTH-VL: Eliciting Multimodal Reasoning with Instruction Tuning at Scale Paper • 2412.05237 • Published Dec 6, 2024 • 47
OmniEdit: Building Image Editing Generalist Models Through Specialist Supervision Paper • 2411.07199 • Published Nov 11, 2024 • 47
Chinese SimpleQA: A Chinese Factuality Evaluation for Large Language Models Paper • 2411.07140 • Published Nov 11, 2024 • 33
OpenCoder: The Open Cookbook for Top-Tier Code Large Language Models Paper • 2411.04905 • Published Nov 7, 2024 • 115
M2rc-Eval: Massively Multilingual Repository-level Code Completion Evaluation Paper • 2410.21157 • Published Oct 28, 2024 • 6
AutoKaggle: A Multi-Agent Framework for Autonomous Data Science Competitions Paper • 2410.20424 • Published Oct 27, 2024 • 40