[NeurIPS 2024 Spotlight] Buffer of Thoughts: Thought-Augmented Reasoning with Large Language Models
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Updated
Jun 28, 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 NeurIPS 2025 paper "Soft Thinking: Unlocking the Reasoning Potential of LLMs in Continuous Concept Space"
[ICLR 2026] Uni-CoT: Towards Unified Chain-of-Thought Reasoning Across Text and Vision
Enhancing LLMs with LoRA
[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"
Research papers about Chain of Thought (CoT)
In Building Systems With The ChatGPT API, you will learn how to automate complex workflows using chain calls to a large language model.
(NeXD @ CVPR 2025) Why We Feel: Breaking Boundaries in Emotional Reasoning with Multimodal Large Language Models
Official implementation of LoT paper: "Enhancing Zero-Shot Chain-of-Thought Reasoning in Large Language Models through Logic"
Anchored Diffusion Language Model (NeurIPS 2025)
A no-string API framework for deploying schema-based reasoning into third-party apps
Monte Carlo Tree Search Self-Refine (MCTSr)
📖Curated list about reasoning abilitiy of MLLM, including OpenAI o1, OpenAI o3-mini, and Slow-Thinking.
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!
Production-grade Deep Research AI with web search, reasoning models (OpenAI o3, DeepSeek-R1), and inference-time scaling.
Code for Prefilled responses enhance zero-shot detection of AI-generated images
I am investigating the mechanistic architecture of unfaithful Chain-of-Thought (CoT), specifically mapping and disrupting the “shortcut circuits” that allow models to bypass explicit reasoning.
LLM's can't reason.
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