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Collections including paper arxiv:2501.07301

Reasoning, Thinking, RL and Test-Time Scaling

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 • 46
Efficiently Serving LLM Reasoning Programs with Certaindex

Paper • 2412.20993 • Published Dec 30, 2024 • 36
B-STaR: Monitoring and Balancing Exploration and Exploitation in Self-Taught Reasoners

Paper • 2412.17256 • Published Dec 23, 2024 • 46

LLM Reasoning Papers

improve reasoning capabilities of LLMs

Let's Verify Step by Step

Paper • 2305.20050 • Published May 31, 2023 • 10
LLM Critics Help Catch LLM Bugs

Paper • 2407.00215 • Published Jun 28, 2024
Large Language Monkeys: Scaling Inference Compute with Repeated Sampling

Paper • 2407.21787 • Published Jul 31, 2024 • 13
Generative Verifiers: Reward Modeling as Next-Token Prediction

Paper • 2408.15240 • Published Aug 27, 2024 • 13

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

Self-Rewarding Language Models

Paper • 2401.10020 • Published Jan 18, 2024 • 146
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 • 47

Evolving Deeper LLM Thinking

Paper • 2501.09891 • Published Jan 17 • 106
PaSa: An LLM Agent for Comprehensive Academic Paper Search

Paper • 2501.10120 • Published Jan 17 • 43
Multiple Choice Questions: Reasoning Makes Large Language Models (LLMs) More Self-Confident Even When They Are Wrong

Paper • 2501.09775 • Published Jan 16 • 29
ComplexFuncBench: Exploring Multi-Step and Constrained Function Calling under Long-Context Scenario

Paper • 2501.10132 • Published Jan 17 • 19

2025 January Papers 🧐

MiniMax-01: Scaling Foundation Models with Lightning Attention

Paper • 2501.08313 • Published Jan 14 • 273
DeepSeek-R1: Incentivizing Reasoning Capability in LLMs via Reinforcement Learning

Paper • 2501.12948 • Published Jan 22 • 330
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 Jan 13 • 91

Evolving Deeper LLM Thinking

Paper • 2501.09891 • Published Jan 17 • 106
ProcessBench: Identifying Process Errors in Mathematical Reasoning

Paper • 2412.06559 • Published Dec 9, 2024 • 80
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 Jan 13 • 91

Model Approaches

The Lessons of Developing Process Reward Models in Mathematical Reasoning

Paper • 2501.07301 • Published Jan 13 • 91

The Lessons of Developing Process Reward Models in Mathematical Reasoning

Paper • 2501.07301 • Published Jan 13 • 91
Gold-medalist Performance in Solving Olympiad Geometry with AlphaGeometry2

Paper • 2502.03544 • Published 18 days ago • 42
FoNE: Precise Single-Token Number Embeddings via Fourier Features

Paper • 2502.09741 • Published 10 days ago • 11

Papers to improve reasoning capabilities of language models

The Lessons of Developing Process Reward Models in Mathematical Reasoning

Paper • 2501.07301 • Published Jan 13 • 91

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