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Collections including paper arxiv:2501.07301

LLM Reasoning Papers

Papers to improve reasoning capabilities of LLMs

about 3 hours ago

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 • 75
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

about 15 hours ago

Video Creation by Demonstration

Paper • 2412.09551 • Published Dec 12, 2024 • 8
DiffSensei: Bridging Multi-Modal LLMs and Diffusion Models for Customized Manga Generation

Paper • 2412.07589 • Published Dec 10, 2024 • 45
Unraveling the Complexity of Memory in RL Agents: an Approach for Classification and Evaluation

Paper • 2412.06531 • Published Dec 9, 2024 • 71
APOLLO: SGD-like Memory, AdamW-level Performance

Paper • 2412.05270 • Published Dec 6, 2024 • 38

about 3 hours ago

The Lessons of Developing Process Reward Models in Mathematical Reasoning

Paper • 2501.07301 • Published 2 days ago • 62

Papers to improve reasoning capabilities of language models

about 21 hours ago

The Lessons of Developing Process Reward Models in Mathematical Reasoning

Paper • 2501.07301 • Published 2 days ago • 62

about 19 hours ago

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

Paper • 2501.04519 • Published 7 days ago • 218
Towards System 2 Reasoning in LLMs: Learning How to Think With Meta Chain-of-Though

Paper • 2501.04682 • Published 7 days ago • 78
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 • 73

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

Paper • 2501.04519 • Published 7 days ago • 218
Multiagent Finetuning: Self Improvement with Diverse Reasoning Chains

Paper • 2501.05707 • Published 5 days ago • 16
The Lessons of Developing Process Reward Models in Mathematical Reasoning

Paper • 2501.07301 • Published 2 days ago • 62

GUI Agents: A Survey

Paper • 2412.13501 • Published 28 days ago • 24
The Lessons of Developing Process Reward Models in Mathematical Reasoning

Paper • 2501.07301 • Published 2 days ago • 62

A Comparative Study on Reasoning Patterns of OpenAI's o1 Model

Paper • 2410.13639 • Published Oct 17, 2024 • 17
Unleashing Reasoning Capability of LLMs via Scalable Question Synthesis from Scratch

Paper • 2410.18693 • Published Oct 24, 2024 • 40
U-MATH: A University-Level Benchmark for Evaluating Mathematical Skills in LLMs

Paper • 2412.03205 • Published Dec 4, 2024 • 16
Free Process Rewards without Process Labels

Paper • 2412.01981 • Published Dec 2, 2024 • 30

about 13 hours ago

LLM-Powered Code Vulnerability Repair with Reinforcement Learning and Semantic Reward

Paper • 2401.03374 • Published Jan 7, 2024
Code Security Vulnerability Repair Using Reinforcement Learning with Large Language Models

Paper • 2401.07031 • Published Jan 13, 2024
Coarse-Tuning Models of Code with Reinforcement Learning Feedback

Paper • 2305.18341 • Published May 25, 2023
Reinforcement Learning from Automatic Feedback for High-Quality Unit Test Generation

Paper • 2310.02368 • Published Oct 3, 2023

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 • 12
Generative Verifiers: Reward Modeling as Next-Token Prediction

Paper • 2408.15240 • Published Aug 27, 2024 • 13

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