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Collections including paper arxiv:2501.07301

LLM Reasoning Papers

Papers to improve reasoning capabilities of LLMs

Agent Q: Advanced Reasoning and Learning for Autonomous AI Agents

Paper • 2408.07199 • Published Aug 13, 2024 • 21
Quiet-STaR: Language Models Can Teach Themselves to Think Before Speaking

Paper • 2403.09629 • Published Mar 14, 2024 • 76
Learn Beyond The Answer: Training Language Models with Reflection for Mathematical Reasoning

Paper • 2406.12050 • Published Jun 17, 2024 • 19
Let's Verify Step by Step

Paper • 2305.20050 • Published May 31, 2023 • 10

2025 January Papers 🧐

MiniMax-01: Scaling Foundation Models with Lightning Attention

Paper • 2501.08313 • Published 20 days ago • 271
DeepSeek-R1: Incentivizing Reasoning Capability in LLMs via Reinforcement Learning

Paper • 2501.12948 • Published 12 days ago • 282
2.5 Years in Class: A Multimodal Textbook for Vision-Language Pretraining

Paper • 2501.00958 • Published Jan 1 • 99
The Lessons of Developing Process Reward Models in Mathematical Reasoning

Paper • 2501.07301 • Published 21 days ago • 89

Self-Rewarding Language Models

Paper • 2401.10020 • Published Jan 18, 2024 • 147
Orion-14B: Open-source Multilingual Large Language Models

Paper • 2401.12246 • Published Jan 20, 2024 • 13
MambaByte: Token-free Selective State Space Model

Paper • 2401.13660 • Published Jan 24, 2024 • 54
MM-LLMs: Recent Advances in MultiModal Large Language Models

Paper • 2401.13601 • Published Jan 24, 2024 • 46

Evolving Deeper LLM Thinking

Paper • 2501.09891 • Published 17 days ago • 103
ProcessBench: Identifying Process Errors in Mathematical Reasoning

Paper • 2412.06559 • Published Dec 9, 2024 • 79
AceMath: Advancing Frontier Math Reasoning with Post-Training and Reward Modeling

Paper • 2412.15084 • Published Dec 19, 2024 • 13
The Lessons of Developing Process Reward Models in Mathematical Reasoning

Paper • 2501.07301 • Published 21 days ago • 89

Model Approaches

The Lessons of Developing Process Reward Models in Mathematical Reasoning

Paper • 2501.07301 • Published 21 days ago • 89

The Lessons of Developing Process Reward Models in Mathematical Reasoning

Paper • 2501.07301 • Published 21 days ago • 89

Papers to improve reasoning capabilities of language models

The Lessons of Developing Process Reward Models in Mathematical Reasoning

Paper • 2501.07301 • Published 21 days ago • 89

rStar-Math: Small LLMs Can Master Math Reasoning with Self-Evolved Deep Thinking

Paper • 2501.04519 • Published 26 days ago • 251
Towards System 2 Reasoning in LLMs: Learning How to Think With Meta Chain-of-Though

Paper • 2501.04682 • Published 26 days ago • 90
Scaling LLM Test-Time Compute Optimally can be More Effective than Scaling Model Parameters

Paper • 2408.03314 • Published Aug 6, 2024 • 54
Training Large Language Models to Reason in a Continuous Latent Space

Paper • 2412.06769 • Published Dec 9, 2024 • 77

rStar-Math: Small LLMs Can Master Math Reasoning with Self-Evolved Deep Thinking

Paper • 2501.04519 • Published 26 days ago • 251
Multiagent Finetuning: Self Improvement with Diverse Reasoning Chains

Paper • 2501.05707 • Published 24 days ago • 19
The Lessons of Developing Process Reward Models in Mathematical Reasoning

Paper • 2501.07301 • Published 21 days ago • 89

Mulberry: Empowering MLLM with o1-like Reasoning and Reflection via Collective Monte Carlo Tree Search

Paper • 2412.18319 • Published Dec 24, 2024 • 37
Token-Budget-Aware LLM Reasoning

Paper • 2412.18547 • Published Dec 24, 2024 • 45
Efficiently Serving LLM Reasoning Programs with Certaindex

Paper • 2412.20993 • Published Dec 30, 2024 • 35
B-STaR: Monitoring and Balancing Exploration and Exploitation in Self-Taught Reasoners

Paper • 2412.17256 • Published Dec 23, 2024 • 46

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