Popular GitHub Repositories for Cot

Reasoning in LLMs: Papers and Resources, including Chain-of-Thought, OpenAI o1, and DeepSeek-R1 ?

We unified the interfaces of instruction-tuning data (e.g., CoT data), multiple LLMs and parameter-efficient methods (e.g., lora, p-tuning) together for easy use. We welcome open-source enthusiasts to initiate any meaningful PR on this repo and integrate as many LLM related technologies as possible. 我们打造了方便研究人员上手和使用大模型等微调平台，我们欢迎开源爱好者发起任何有意义的pr！

pingcap/autoflow is a Graph RAG based and conversational knowledge base tool built with TiDB Serverless Vector Storage. Demo: https://tidb.ai

The first open-source Artificial Narrow Intelligence generalist agentic framework Computer-Using-Agent that fully operates graphical-user-interfaces (GUIs) by using only natural language. Uses Visualization-of-Thought and Chain-of-Thought reasoning to elicit spatial reasoning and perception, emulates, plans and simulates synthetic HID interactions.

Multimodal Chain-of-Thought Reasoning: A Comprehensive Survey

A Survey of Efficient Reasoning for Large Reasoning Models: Language, Multimodality, and Beyond

Lean implementation of various multi-agent LLM methods, including Iteration of Thought (IoT)

Research papers about Chain of Thought (CoT)

gpt-o1 like chain of thoughts with local LLMs in R

[arXiv 2501.13117]The Multiplex CoT makes AI more thoughtful.

A no-string framework for reasoning over your tabular data rows with any provided LLM

GPT Table Semantic Parsing with complex & non-intuitive structure.

超简单复现Deepseek-R1-Zero和Deepseek-R1，以「24点游戏」为例。通过zero-RL、SFT以及SFT+RL，以激发LLM的自主验证反思能力。

Deepseek-CoT

Explore DeepSeek R1?: reproduction guides, papers, insightful tweets&blogs to explore and learn. ?

It is a dataset for fine-tuning LLM to solve 24(puzzle)

The official code for CoT / ZSL reasoning framework ?, utilized in paper: "Large Language Models in Targeted Sentiment Analysis in Russian"

Experiments with reasoning models, training techniques, papers

A Transformer-based deep learning calculator with chain-of-thought text generation

A Python wrapper that enables large language models (LLMs) to simulate the step-by-step thinking process of OpenAI’s o1 model, providing users with detailed reasoning and comprehensive answers.