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.

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.

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

Enhancing LLMs with LoRA

LLM's can't reason.

A lightweight, no-strings-attached Chain-of-Thought 🔗 framework for your LLM, ensuring reliable results for bulk input requests

Monte Carlo Tree Search Self-Refine (MCTSr)

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!

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

Research papers about Chain of Thought (CoT)

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

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

[NeurIPS 2024] Code for the paper "Diffusion of Thoughts: Chain-of-Thought Reasoning in Diffusion Language Models"

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

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