awesome-llm-reasoning
github.com/atfortes/awesome-llm-reasoning ↗From Chain-of-Thought prompting to OpenAI o1 and DeepSeek-R1 🍓
3.6k
GitHub Stars
163
Curated Resources
4
Categories
4 hours ago
Last Refreshed
SurveyAnalysisOther Useful ResourcesOther Awesome Lists
Use this list with your AI agent
Add the Context Awesome MCP server to Claude, Cursor, or any MCP client, then ask:
"Show me 2024 resources from awesome-llm-reasoning"
Installation instructions →What's inside
Analysis
- Active Prompting with Chain-of-Thought for Large Language Models.2024
- Advancing LLM Reasoning Generalists with Preference Trees.2024
- Agent Q: Advanced Reasoning and Learning for Autonomous AI Agents.2024
- A Multitask, Multilingual, Multimodal Evaluation of ChatGPT on Reasoning, Hallucination, and Interactivity.2023
- A Peek into Token Bias: Large Language Models Are Not Yet Genuine Reasoners.2024
- Are Your LLMs Capable of Stable Reasoning?2024
Other Useful Resources
- AgentChain
- Agent Shadow Brain
Self-evolving AI coding intelligence with infinite memory (TurboQuant), genetic algorithm self-evolution, predictive bug detection, PageRank knowledge graphs, swarm intelligence, and adversarial defense.
- Chain-of-Thought Hub
- facebookresearch/RAM
- google/Cascades
- LLM Reasoners
Survey
- Attention Heads of Large Language Models: A Survey.2024
- Internal Consistency and Self-Feedback in Large Language Models: A Survey.2024
- Large Language Models for Mathematical Reasoning: Progresses and Challenges.2024
- Multimodal Chain-of-Thought Reasoning: A Comprehensive Survey.2025
- Puzzle Solving using Reasoning of Large Language Models: A Survey.2024
- Reasoning with Language Model Prompting: A Survey.2022
Showing a sample of 163 resources. View the full list on GitHub →