--- title: "Awesome-LLM-Reasoning vs academic-research-skills" type: "comparison" canonical_url: "https://www.graphcanon.com/compare/atfortes-awesome-llm-reasoning-vs-imbad0202-academic-research-skills" tools: ["atfortes-awesome-llm-reasoning", "imbad0202-academic-research-skills"] --- # Awesome-LLM-Reasoning vs academic-research-skills *GraphCanon updated Jul 11, 2026* ## Verdict Pick Awesome-LLM-Reasoning when license: Awesome-LLM-Reasoning is MIT, academic-research-skills is Other; pick academic-research-skills when license: academic-research-skills is Other, Awesome-LLM-Reasoning is MIT. [Awesome-LLM-Reasoning](https://github.com/atfortes/Awesome-LLM-Reasoning) reports 3.6k GitHub stars, 212 forks, and 27 open issues, last pushed Apr 20, 2026. [academic-research-skills](https://buymeacoffee.com/crucify020v) has 37k stars, 3.0k forks, and 9 open issues, last pushed Jul 11, 2026. Figures are from public GitHub metadata via [Awesome-LLM-Reasoning's repository](https://github.com/atfortes/Awesome-LLM-Reasoning) and [academic-research-skills's repository](https://github.com/Imbad0202/academic-research-skills). | | [Awesome-LLM-Reasoning](/tools/atfortes-awesome-llm-reasoning.md) | [academic-research-skills](/tools/imbad0202-academic-research-skills.md) | | --- | --- | --- | | Tagline | From Chain-of-Thought prompting to OpenAI o1 and DeepSeek-R1 🍓 | Academic Research Skills for Claude Code: research → write → review → revise → finalize | | Stars | 3,648 | 37,300 | | Forks | 212 | 3,043 | | Open issues | 27 | 9 | | Language | - | Python | | Adopt for | Awesome-LLM-Reasoning is a curated collection of papers and resources dedicated to enhancing the reasoning abilities of large language models (LLMs) and multimodal large language models (MLLMs). Specifically, it delves深入 | - | | Persona | - | - | | Runtime | - | - | | License | MIT | Other | | Categories | LLM Frameworks | Data & Retrieval, LLM Frameworks | ## Trust and health _Sourced signals - not a safety guarantee. No winner column._ | | [Awesome-LLM-Reasoning](/tools/atfortes-awesome-llm-reasoning.md) | [academic-research-skills](/tools/imbad0202-academic-research-skills.md) | | --- | --- | --- | | Maintenance | Steady (60%) | Very active (96%) | | Days since push | 82d | 0d | | Open issues (now) | 27 | 9 | | Full report | [trust report](/tools/atfortes-awesome-llm-reasoning/trust.md) | [trust report](/tools/imbad0202-academic-research-skills/trust.md) | ## Decision facts: Awesome-LLM-Reasoning - **Adopt for:** Awesome-LLM-Reasoning is a curated collection of papers and resources dedicated to enhancing the reasoning abilities of large language models (LLMs) and multimodal large language models (MLLMs). Specifically, it delves深入 ## Choose when ### Choose Awesome-LLM-Reasoning if… - License: Awesome-LLM-Reasoning is MIT, academic-research-skills is Other. - Tags unique to Awesome-LLM-Reasoning: awesome, chain-of-thought, chatgpt, cot. - 你正在寻找关于如何解锁和增强大语言模型（LLMs）和多模态大型语言模型（MLLMs）推理能力的论文和资源时。例如，如果你对理解和测试这些模型的符号推理能力感兴趣，这一资源将非常有用。 ### Choose academic-research-skills if… - License: academic-research-skills is Other, Awesome-LLM-Reasoning is MIT. - Tags unique to academic-research-skills: academic-pipeline, academic-writing, ai-research, claude. - Also covers Data & Retrieval. ## When NOT to use Awesome-LLM-Reasoning - 如果你正在寻找具体的工具或平台来直接进行LLM的训练或推理实现，而不是想要了解技术背后的理论和最近的研究成果。 - 当你寻求的是特定项目的代码库或者实际的应用实例，而非纯粹的研究性和理论性的文献收集和分析时。Awesome-LLM-Reasoning主要聚焦于提供最新的调研文章和资源链接，并不涉及具体的项目实现内容。 ## When NOT to use academic-research-skills - Data & Retrieval: Skip a heavy ingestion framework when your corpus is small and static; a script plus the embedding API is enough. - LLM Frameworks: Avoid a framework for a single prompt-and-retrieve call; the abstraction can cost more than it saves. ## Common questions ### What is the difference between Awesome-LLM-Reasoning and academic-research-skills? Awesome-LLM-Reasoning: From Chain-of-Thought prompting to OpenAI o1 and DeepSeek-R1 🍓. academic-research-skills: Academic Research Skills for Claude Code: research → write → review → revise → finalize. See the comparison table for live GitHub stats and shared categories. ### When should I choose Awesome-LLM-Reasoning over academic-research-skills? Choose Awesome-LLM-Reasoning over academic-research-skills when License: Awesome-LLM-Reasoning is MIT, academic-research-skills is Other; Tags unique to Awesome-LLM-Reasoning: awesome, chain-of-thought, chatgpt, cot; 你正在寻找关于如何解锁和增强大语言模型（LLMs）和多模态大型语言模型（MLLMs）推理能力的论文和资源时。例如，如果你对理解和测试这些模型的符号推理能力感兴趣，这一资源将非常有用。. ### When should I choose academic-research-skills over Awesome-LLM-Reasoning? Choose academic-research-skills over Awesome-LLM-Reasoning when License: academic-research-skills is Other, Awesome-LLM-Reasoning is MIT; Tags unique to academic-research-skills: academic-pipeline, academic-writing, ai-research, claude; Also covers Data & Retrieval. ### When should I avoid Awesome-LLM-Reasoning? 如果你正在寻找具体的工具或平台来直接进行LLM的训练或推理实现，而不是想要了解技术背后的理论和最近的研究成果。 当你寻求的是特定项目的代码库或者实际的应用实例，而非纯粹的研究性和理论性的文献收集和分析时。Awesome-LLM-Reasoning主要聚焦于提供最新的调研文章和资源链接，并不涉及具体的项目实现内容。 ### When should I avoid academic-research-skills? Data & Retrieval: Skip a heavy ingestion framework when your corpus is small and static; a script plus the embedding API is enough. LLM Frameworks: Avoid a framework for a single prompt-and-retrieve call; the abstraction can cost more than it saves. ### Is Awesome-LLM-Reasoning or academic-research-skills more popular on GitHub? academic-research-skills has more GitHub stars (37,300 vs 3,648). Stars measure visibility, not whether either tool fits your constraints. ### Are Awesome-LLM-Reasoning and academic-research-skills open source? Yes - both are open-source projects on GitHub (Awesome-LLM-Reasoning: MIT, academic-research-skills: Other). ### Where can I find alternatives to Awesome-LLM-Reasoning or academic-research-skills? GraphCanon lists graph-backed alternatives at [Awesome-LLM-Reasoning alternatives](/tools/atfortes-awesome-llm-reasoning/alternatives) and [academic-research-skills alternatives](/tools/imbad0202-academic-research-skills/alternatives) ([Awesome-LLM-Reasoning markdown twin](/tools/atfortes-awesome-llm-reasoning/alternatives.md), [academic-research-skills markdown twin](/tools/imbad0202-academic-research-skills/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/atfortes-awesome-llm-reasoning-vs-imbad0202-academic-research-skills.md) mirrors this page for agents and LLM crawlers, with the same stats table and FAQ answers. ### Which is better maintained, Awesome-LLM-Reasoning or academic-research-skills? Awesome-LLM-Reasoning: Steady. academic-research-skills: Very active. 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 Awesome-LLM-Reasoning and academic-research-skills? GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: [Awesome-LLM-Reasoning trust report](/tools/atfortes-awesome-llm-reasoning/trust); [academic-research-skills trust report](/tools/imbad0202-academic-research-skills/trust). --- **Machine-readable endpoints** - JSON: [`/api/graphcanon/graph?tool=atfortes-awesome-llm-reasoning`](/api/graphcanon/graph?tool=atfortes-awesome-llm-reasoning) - 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/_