--- title: "Chain-of-ThoughtsPapers vs KnowledgeEditingPapers" type: "comparison" canonical_url: "https://www.graphcanon.com/compare/timothyxxx-chain-of-thoughtspapers-vs-zjunlp-knowledgeeditingpapers" tools: ["timothyxxx-chain-of-thoughtspapers", "zjunlp-knowledgeeditingpapers"] --- # Chain-of-ThoughtsPapers vs KnowledgeEditingPapers *GraphCanon updated Aug 6, 2026* ## Verdict Pick Chain-of-ThoughtsPapers if 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; pick KnowledgeEditingPapers if a specialized collection of foundational papers and reports that delve into the editing and manipulation of knowledge within large language models, making it a valuable resource for researchers looking. [Chain-of-ThoughtsPapers](https://github.com/Timothyxxx/Chain-of-ThoughtsPapers) reports 2.1k GitHub stars, 142 forks, and 0 open issues, last pushed Oct 5, 2023. [KnowledgeEditingPapers](https://github.com/zjunlp/KnowledgeEditingPapers) has 1.2k stars, 78 forks, and 0 open issues, last pushed Jun 25, 2026. Figures are from public GitHub metadata via [Chain-of-ThoughtsPapers's repository](https://github.com/Timothyxxx/Chain-of-ThoughtsPapers) and [KnowledgeEditingPapers's repository](https://github.com/zjunlp/KnowledgeEditingPapers). | | [Chain-of-ThoughtsPapers](/tools/timothyxxx-chain-of-thoughtspapers.md) | [KnowledgeEditingPapers](/tools/zjunlp-knowledgeeditingpapers.md) | | --- | --- | --- | | Tagline | A curated list of papers exploring chain-of-thought reasoning in large language models. | Must-read Papers on Knowledge Editing for Large Language Models | | Stars | 2,104 | 1,245 | | Forks | 142 | 78 | | Open issues | 0 | 0 | | Language | - | - | | Adopt for | 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. | A specialized collection of foundational papers and reports that delve into the editing and manipulation of knowledge within large language models, making it a valuable resource for researchers looking to understand and斧 | | Persona | end user agent | - | | Runtime | - | - | | License | - | MIT | | Categories | LLM Frameworks, Model Training | LLM Frameworks, Model Training | ## Trust and health _Sourced signals - not a safety guarantee. No winner column._ | | [Chain-of-ThoughtsPapers](/tools/timothyxxx-chain-of-thoughtspapers.md) | [KnowledgeEditingPapers](/tools/zjunlp-knowledgeeditingpapers.md) | | --- | --- | --- | | Maintenance | Archived (8%) | Steady (60%) | | Days since push | 1036d | 42d | | Archived on GitHub | Yes | No | | Owner type | User | Organization | | Full report | [trust report](/tools/timothyxxx-chain-of-thoughtspapers/trust.md) | [trust report](/tools/zjunlp-knowledgeeditingpapers/trust.md) | ## Decision facts: Chain-of-ThoughtsPapers - **Adopt for:** 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. - **Persona:** end user agent ## Decision facts: KnowledgeEditingPapers - **Hosting:** unknown - **Adopt for:** A specialized collection of foundational papers and reports that delve into the editing and manipulation of knowledge within large language models, making it a valuable resource for researchers looking to understand and斧 - **License detail:** MIT ## Choose when ### Choose Chain-of-ThoughtsPapers if… - Tags unique to Chain-of-ThoughtsPapers: chain-of-thought, codex, gpt-3, in-context-learning. - When you need insights into foundational and cutting-edge research on how language models can be prompted or structured to reason logically. - More GitHub stars (2.1k vs 1.2k) - visibility, not fit. ### Choose KnowledgeEditingPapers if… - Tags unique to KnowledgeEditingPapers: knowledge-editing, model-editing, natural-language-processing, pre-trained-language-models. - You are specifically interested in recent advancements in knowledge editing techniques for large language models. - More recently updated (last pushed Jun 25, 2026). ## When NOT to use Chain-of-ThoughtsPapers - 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. - In scenarios necessitating alternative approaches to language model training which do not emphasize step-by-step reasoning, such as models trained purely for pattern recognition without emphasis on a - what_is_missing ## When NOT to use KnowledgeEditingPapers - You are looking for a broad overview of machine learning or AI in general, as this repository focuses narrowly on knowledge editing within large language models. - If you seek practical tooling or implementation guidance rather than theoretical insights and review papers. - Your focus is more on data preprocessing or model training techniques unrelated to the specific modification of knowledge mechanisms in LLMs. ## Common questions ### What is the difference between Chain-of-ThoughtsPapers and KnowledgeEditingPapers? Chain-of-ThoughtsPapers: A curated list of papers exploring chain-of-thought reasoning in large language models.. KnowledgeEditingPapers: Must-read Papers on Knowledge Editing for Large Language Models. See the comparison table for live GitHub stats and shared categories. ### When should I choose Chain-of-ThoughtsPapers over KnowledgeEditingPapers? Choose Chain-of-ThoughtsPapers over KnowledgeEditingPapers when Tags unique to Chain-of-ThoughtsPapers: chain-of-thought, codex, gpt-3, in-context-learning; When you need insights into foundational and cutting-edge research on how language models can be prompted or structured to reason logically; More GitHub stars (2.1k vs 1.2k) - visibility, not fit. ### When should I choose KnowledgeEditingPapers over Chain-of-ThoughtsPapers? Choose KnowledgeEditingPapers over Chain-of-ThoughtsPapers when Tags unique to KnowledgeEditingPapers: knowledge-editing, model-editing, natural-language-processing, pre-trained-language-models; You are specifically interested in recent advancements in knowledge editing techniques for large language models; More recently updated (last pushed Jun 25, 2026). ### When should I avoid Chain-of-ThoughtsPapers? 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. In scenarios necessitating alternative approaches to language model training which do not emphasize step-by-step reasoning, such as models trained purely for pattern recognition without emphasis on a what_is_missing ### When should I avoid KnowledgeEditingPapers? You are looking for a broad overview of machine learning or AI in general, as this repository focuses narrowly on knowledge editing within large language models. If you seek practical tooling or implementation guidance rather than theoretical insights and review papers. Your focus is more on data preprocessing or model training techniques unrelated to the specific modification of knowledge mechanisms in LLMs. ### Is Chain-of-ThoughtsPapers or KnowledgeEditingPapers more popular on GitHub? Chain-of-ThoughtsPapers has more GitHub stars (2,104 vs 1,245). Stars measure visibility, not whether either tool fits your constraints. ### Are Chain-of-ThoughtsPapers and KnowledgeEditingPapers open source? Yes - both are open-source projects on GitHub. ### Where can I find alternatives to Chain-of-ThoughtsPapers or KnowledgeEditingPapers? GraphCanon lists graph-backed alternatives at [Chain-of-ThoughtsPapers alternatives](/tools/timothyxxx-chain-of-thoughtspapers/alternatives) and [KnowledgeEditingPapers alternatives](/tools/zjunlp-knowledgeeditingpapers/alternatives) ([Chain-of-ThoughtsPapers markdown twin](/tools/timothyxxx-chain-of-thoughtspapers/alternatives.md), [KnowledgeEditingPapers markdown twin](/tools/zjunlp-knowledgeeditingpapers/alternatives.md)), ranked by typed relationship edges rather than popularity votes. ### Is there a machine-readable version of this comparison? Yes. The markdown twin at [this comparison](/compare/timothyxxx-chain-of-thoughtspapers-vs-zjunlp-knowledgeeditingpapers.md) mirrors this page for agents and LLM crawlers, with the same stats table and FAQ answers. ### Which is better maintained, Chain-of-ThoughtsPapers or KnowledgeEditingPapers? Chain-of-ThoughtsPapers: Archived. KnowledgeEditingPapers: Steady. Compare maintenance labels, days since push, and release cadence in the trust section below - stars alone do not measure maintenance. ### Where are the full trust reports for Chain-of-ThoughtsPapers and KnowledgeEditingPapers? GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: [Chain-of-ThoughtsPapers trust report](/tools/timothyxxx-chain-of-thoughtspapers/trust); [KnowledgeEditingPapers trust report](/tools/zjunlp-knowledgeeditingpapers/trust). --- **Machine-readable endpoints** - JSON: [`/api/graphcanon/graph?tool=timothyxxx-chain-of-thoughtspapers`](/api/graphcanon/graph?tool=timothyxxx-chain-of-thoughtspapers) - LLM index: [/llms.txt](/llms.txt) - Full corpus: [/llms-full.txt](/llms-full.txt) _GraphCanon - The knowledge graph for AI development. https://www.graphcanon.com/_