-
Self-Rewarding Language Models
Paper • 2401.10020 • Published • 147 -
Self-Discover: Large Language Models Self-Compose Reasoning Structures
Paper • 2402.03620 • Published • 115 -
OS-Copilot: Towards Generalist Computer Agents with Self-Improvement
Paper • 2402.07456 • Published • 43 -
Learning From Mistakes Makes LLM Better Reasoner
Paper • 2310.20689 • Published • 29
Collections
Discover the best community collections!
Collections including paper arxiv:2501.05707
-
Self-Rewarding Language Models
Paper • 2401.10020 • Published • 147 -
Orion-14B: Open-source Multilingual Large Language Models
Paper • 2401.12246 • Published • 13 -
MambaByte: Token-free Selective State Space Model
Paper • 2401.13660 • Published • 54 -
MM-LLMs: Recent Advances in MultiModal Large Language Models
Paper • 2401.13601 • Published • 46
-
Dolphin: Closed-loop Open-ended Auto-research through Thinking, Practice, and Feedback
Paper • 2501.03916 • Published • 14 -
Towards System 2 Reasoning in LLMs: Learning How to Think With Meta Chain-of-Though
Paper • 2501.04682 • Published • 89 -
Agent Laboratory: Using LLM Agents as Research Assistants
Paper • 2501.04227 • Published • 80 -
Search-o1: Agentic Search-Enhanced Large Reasoning Models
Paper • 2501.05366 • Published • 79
-
Agents for self-driving laboratories applied to quantum computing
Paper • 2412.07978 • Published • 1 -
Towards Scientific Discovery with Generative AI: Progress, Opportunities, and Challenges
Paper • 2412.11427 • Published • 1 -
AEGIS: An Agent-based Framework for General Bug Reproduction from Issue Descriptions
Paper • 2411.18015 • Published • 1 -
LLM4SR: A Survey on Large Language Models for Scientific Research
Paper • 2501.04306 • Published • 33
-
Agent Laboratory: Using LLM Agents as Research Assistants
Paper • 2501.04227 • Published • 80 -
Multiagent Finetuning: Self Improvement with Diverse Reasoning Chains
Paper • 2501.05707 • Published • 19 -
Agent-R: Training Language Model Agents to Reflect via Iterative Self-Training
Paper • 2501.11425 • Published • 70
-
rStar-Math: Small LLMs Can Master Math Reasoning with Self-Evolved Deep Thinking
Paper • 2501.04519 • Published • 244 -
Multiagent Finetuning: Self Improvement with Diverse Reasoning Chains
Paper • 2501.05707 • Published • 19 -
The Lessons of Developing Process Reward Models in Mathematical Reasoning
Paper • 2501.07301 • Published • 85
-
2.5 Years in Class: A Multimodal Textbook for Vision-Language Pretraining
Paper • 2501.00958 • Published • 97 -
CodeElo: Benchmarking Competition-level Code Generation of LLMs with Human-comparable Elo Ratings
Paper • 2501.01257 • Published • 48 -
Reconstruction vs. Generation: Taming Optimization Dilemma in Latent Diffusion Models
Paper • 2501.01423 • Published • 36 -
REDUCIO! Generating 1024times1024 Video within 16 Seconds using Extremely Compressed Motion Latents
Paper • 2411.13552 • Published
-
rStar-Math: Small LLMs Can Master Math Reasoning with Self-Evolved Deep Thinking
Paper • 2501.04519 • Published • 244 -
Learning an evolved mixture model for task-free continual learning
Paper • 2207.05080 • Published • 1 -
EVOLvE: Evaluating and Optimizing LLMs For Exploration
Paper • 2410.06238 • Published • 1 -
Smaller Language Models Are Better Instruction Evolvers
Paper • 2412.11231 • Published • 27