[NeurIPS 2024 Spotlight] Buffer of Thoughts: Thought-Augmented Reasoning with Large Language Models
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Updated
Mar 23, 2025 - Python
[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
Official implementation of the paper "Soft Thinking: Unlocking the Reasoning Potential of LLMs in Continuous Concept Space"
[NeurIPS 2024] Code for the paper "Diffusion of Thoughts: Chain-of-Thought Reasoning in Diffusion Language Models"
Video Chain of Thought, 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.
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"
A no-string API framework for deploying schema-based reasoning into third-party apps
Monte Carlo Tree Search Self-Refine (MCTSr)
Why We Feel: Breaking Boundaries in Emotional Reasoning with Multimodal Large Language Models
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!
📖Curated list about reasoning abilitiy of MLLM, including OpenAI o1, OpenAI o3-mini, and Slow-Thinking.
LLM's can't reason.
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.
Enhancing LLMs with LoRA
Evaluate high school math reasoning in LLMs with baseline and Chain-of-Thought (CoT) prompts. Includes confidence calibration metrics, JSON output parsing, and reliability analysis.
This repository gives a detailed example of prompt engineering using Chain of Thought (CoT) prompting for four common FMCG Retail challenges.
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