[NeurIPS 2024 Spotlight] Buffer of Thoughts: Thought-Augmented Reasoning with Large Language Models

[ACL 2024] A Survey of Chain of Thought Reasoning: Advances, Frontiers and Future

Code for the paper "Diffusion of Thoughts: Chain-of-Thought Reasoning in Diffusion Language Models"

In Building Systems With The ChatGPT API, you will learn how to automate complex workflows using chain calls to a large language model.

Codes for ICML 2024 paper: "Video-of-Thought: Step-by-Step Video Reasoning from Perception to Cognition"

Research papers about Chain of Thought (CoT)

Official implementation of LoT paper: "Enhancing Zero-Shot Chain-of-Thought Reasoning in Large Language Models through Logic"

About The corresponding code from our paper " Making Reasoning Matter: Measuring and Improving Faithfulness of Chain-of-Thought Reasoning" . Do not hesitate to open an issue if you run into any trouble!

Monte Carlo Tree Search Self-Refine (MCTSr)

No-strings tiny Chain-of-Thought framework for your LLM that saves you time ⏰

LLM's can't reason.

Enhancing LLMs with LoRAs

This repository contains results from my MSc. thesis on "Test Case Generation from User Stories using Generative AI Techniques with LLM Models." Each folder includes generated test cases in PDF, detailed metrics scores of data in Excel sheets, and visual graphs, offering a comprehensive view of the experiments in images folder and their outcomes.

Making CoT great again, but for everyone this time!

This Credit Risk Assessment agent leverages advanced machine learning techniques, including Chain of Thought (CoT) reasoning and Reinforcement Learning (RL), to evaluate credit risk. The project aims to provide more transparent, effective, and explainable solutions to the complex task of assessing creditworthiness.

Exploring Chain-of-Thought reasoning in deep learning models. Implement and evaluate with synthetic data, showcasing model training and performance analysis.