Reasoning using Language Models

Overview

A curated collection of academic papers tracking advances in reasoning techniques for language models, from Chain-of-Thought prompting to modern models like OpenAI o1 and DeepSeek-R1. It serves as a reference for researchers and practitioners following the field.

Best for

Best for
Researchers and AI practitioners tracking reasoning advancements.

Use cases

• Exploring state-of-the-art reasoning methods
• Keeping up with rapid research progress
• Finding seminal papers for a literature review

Notes

A curated collection of academic papers tracking advances in reasoning techniques for language models, from Chain-of-Thought prompting to modern models like OpenAI o1 and DeepSeek-R1. It serves as a reference for researchers and practitioners following the field.

3,625 stars on GitHub. Last updated 2026-04-20. Licensed MIT.

Use cases

• Exploring state-of-the-art reasoning methods
• Keeping up with rapid research progress
• Finding seminal papers for a literature review

Pros

• Comprehensive coverage of reasoning approaches
• Regularly updated with new research
• Community-curated with high star count indicating quality

Cons

• A paper list, not a practical implementation tool
• Requires additional effort to apply techniques from papers
• May overwhelm beginners with volume of material

Indexed from awesome-llm and enriched against its public facts.