Training Language Models to Self-Correct via Reinforcement Learning Paper • 2409.12917 • Published Sep 19 • 134 • 9
LLM Pruning and Distillation in Practice: The Minitron Approach Paper • 2408.11796 • Published Aug 21 • 54 • 4
LongRAG: Enhancing Retrieval-Augmented Generation with Long-context LLMs Paper • 2406.15319 • Published Jun 21 • 61 • 8
Mixture-of-Agents Enhances Large Language Model Capabilities Paper • 2406.04692 • Published Jun 7 • 55 • 3
Chameleon: Mixed-Modal Early-Fusion Foundation Models Paper • 2405.09818 • Published May 16 • 126 • 12
OpenELM: An Efficient Language Model Family with Open-source Training and Inference Framework Paper • 2404.14619 • Published Apr 22 • 124 • 14
Phi-3 Technical Report: A Highly Capable Language Model Locally on Your Phone Paper • 2404.14219 • Published Apr 22 • 253 • 42
Mixture-of-Depths: Dynamically allocating compute in transformer-based language models Paper • 2404.02258 • Published Apr 2 • 104 • 6
Self-Discover: Large Language Models Self-Compose Reasoning Structures Paper • 2402.03620 • Published Feb 6 • 109 • 10