Chain-of-ThoughtsPapers
A curated list of papers exploring chain-of-thought reasoning in large language models.
GraphCanon updated Oct 11, 2026 · GitHub synced Oct 11, 2026
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Decision brief
Chain-of-ThoughtsPapers curates critical research on chain-of-thought reasoning in large language models, aimed at enhancing a model's ability to perform logical reasoning through iterative step-by-step analyses.
Good fit when
- When you need insights into foundational and cutting-edge research on how language models can be prompted or structured to reason logically.
- If your project involves improving the interpretability of reasoning processes in large language models, particularly through methods like Chain of Thought Prompting and Self-Consistency techniques.
Avoid when
- If your focus is on unrelated areas such as image processing or speech recognition, where chain-of-thought reasoning in LLMs does not directly play a role.
- This repository focuses on research and theoretical foundations, not ready-to-use software libraries or codebases, making it less suitable for projects that require immediate practical coding implementations.
Observed Jul 11, 2026 · Source: enrich:decision_facts
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Maintenance and security
Full trust report- Maintenance
- Archived (1102d since push)
- As of Oct 11, 2026
- Provenance
- Not a fork · Personal account
- As of Oct 11, 2026
- Security (OSV)
- No lockfile
- As of Jul 11, 2026
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Install
git clone https://github.com/Timothyxxx/Chain-of-ThoughtsPapersSimilar tools
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Overview
This repository compiles research on enhancing the ability of large language models to reason through a series of logical steps or chains of thought, encompassing studies like the Chain of Thought Prompting and PaLM: Scaling Language Modeling with Pathways.
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README
Chain of ThoughtsPapers A trend starts from "Chain of Thought Prompting Elicits Reasoning in Large Language Models". Check Tool use LLMs and Environment Interactive LLMs for the newest good direction we are doing! Papers 1. Chain of Thought Prompting Elicits Reasoning in Large La...
For agents
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