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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
Collections
Discover the best community collections!
Collections including paper arxiv:2501.11223
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Reasoning Language Models: A Blueprint
Paper • 2501.11223 • Published • 19 -
DeepSeekMath: Pushing the Limits of Mathematical Reasoning in Open Language Models
Paper • 2402.03300 • Published • 79 -
DeepSeek-R1: Incentivizing Reasoning Capability in LLMs via Reinforcement Learning
Paper • 2501.12948 • Published • 112
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Evolving Deeper LLM Thinking
Paper • 2501.09891 • Published • 93 -
ProcessBench: Identifying Process Errors in Mathematical Reasoning
Paper • 2412.06559 • Published • 78 -
AceMath: Advancing Frontier Math Reasoning with Post-Training and Reward Modeling
Paper • 2412.15084 • Published • 13 -
The Lessons of Developing Process Reward Models in Mathematical Reasoning
Paper • 2501.07301 • Published • 85
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rStar-Math: Small LLMs Can Master Math Reasoning with Self-Evolved Deep Thinking
Paper • 2501.04519 • Published • 244 -
URSA: Understanding and Verifying Chain-of-thought Reasoning in Multimodal Mathematics
Paper • 2501.04686 • Published • 50 -
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
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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
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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
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STaR: Bootstrapping Reasoning With Reasoning
Paper • 2203.14465 • Published • 8 -
Let's Verify Step by Step
Paper • 2305.20050 • Published • 10 -
Training Large Language Models to Reason in a Continuous Latent Space
Paper • 2412.06769 • Published • 74 -
Marco-o1: Towards Open Reasoning Models for Open-Ended Solutions
Paper • 2411.14405 • Published • 58
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Video Creation by Demonstration
Paper • 2412.09551 • Published • 8 -
DiffSensei: Bridging Multi-Modal LLMs and Diffusion Models for Customized Manga Generation
Paper • 2412.07589 • Published • 45 -
Unraveling the Complexity of Memory in RL Agents: an Approach for Classification and Evaluation
Paper • 2412.06531 • Published • 71 -
APOLLO: SGD-like Memory, AdamW-level Performance
Paper • 2412.05270 • Published • 38
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Large Language Models Can Self-Improve in Long-context Reasoning
Paper • 2411.08147 • Published • 63 -
Search, Verify and Feedback: Towards Next Generation Post-training Paradigm of Foundation Models via Verifier Engineering
Paper • 2411.11504 • Published • 20 -
Auto-Evolve: Enhancing Large Language Model's Performance via Self-Reasoning Framework
Paper • 2410.06328 • Published • 1 -
Critical Tokens Matter: Token-Level Contrastive Estimation Enhence LLM's Reasoning Capability
Paper • 2411.19943 • Published • 57