Self-Discover: Large Language Models Self-Compose Reasoning Structures Paper • 2402.03620 • Published Feb 6 • 109
OS-Copilot: Towards Generalist Computer Agents with Self-Improvement Paper • 2402.07456 • Published Feb 12 • 40
Best Practices and Lessons Learned on Synthetic Data for Language Models Paper • 2404.07503 • Published Apr 11 • 29
Direct Nash Optimization: Teaching Language Models to Self-Improve with General Preferences Paper • 2404.03715 • Published Apr 4 • 59
ChatGLM-Math: Improving Math Problem-Solving in Large Language Models with a Self-Critique Pipeline Paper • 2404.02893 • Published Apr 3 • 19
Voyager: An Open-Ended Embodied Agent with Large Language Models Paper • 2305.16291 • Published May 25, 2023 • 9
Reflexion: Language Agents with Verbal Reinforcement Learning Paper • 2303.11366 • Published Mar 20, 2023 • 4
Replacing Judges with Juries: Evaluating LLM Generations with a Panel of Diverse Models Paper • 2404.18796 • Published Apr 29 • 68
Diffusion for World Modeling: Visual Details Matter in Atari Paper • 2405.12399 • Published May 20 • 25
Perplexed by Perplexity: Perplexity-Based Data Pruning With Small Reference Models Paper • 2405.20541 • Published May 30 • 20
ShareGPT4Video: Improving Video Understanding and Generation with Better Captions Paper • 2406.04325 • Published Jun 6 • 71
Magpie: Alignment Data Synthesis from Scratch by Prompting Aligned LLMs with Nothing Paper • 2406.08464 • Published Jun 12 • 61
Scaling Synthetic Data Creation with 1,000,000,000 Personas Paper • 2406.20094 • Published Jun 28 • 89
Diffusion Augmented Agents: A Framework for Efficient Exploration and Transfer Learning Paper • 2407.20798 • Published Jul 30 • 23
Mutual Reasoning Makes Smaller LLMs Stronger Problem-Solvers Paper • 2408.06195 • Published 26 days ago • 49
Data curation via joint example selection further accelerates multimodal learning Paper • 2406.17711 • Published Jun 25 • 2