From 3dec3676df057e389f490200cf1ed400851ed740 Mon Sep 17 00:00:00 2001 From: yuyang-cloud <1146944410@qq.com> Date: Tue, 28 Apr 2026 21:41:13 +0800 Subject: [PATCH] Add awesome-ai-research-writing and update star_link --- README.md | 45 +++++++++++++++++++++++---------------------- 1 file changed, 23 insertions(+), 22 deletions(-) diff --git a/README.md b/README.md index bf6a103..737ae22 100644 --- a/README.md +++ b/README.md @@ -741,52 +741,53 @@ If you find this work helpful for your research, please kindly consider citing o | Repository | Stars | Description | |-----------|-------|-------------| -| [Awesome-Deep-Research](https://github.com/DavidZWZ/Awesome-Deep-Research) | ~684 | Up-to-date collection of agentic deep research resources | -| [Awesome-Scientific-Language-Models](https://github.com/yuzhimanhua/Awesome-Scientific-Language-Models) | ~647 | Survey of scientific LLMs (EMNLP'24) | -| [Awesome-LLM-Scientific-Discovery](https://github.com/HKUST-KnowComp/Awesome-LLM-Scientific-Discovery) | ~319 | Three-level autonomy framework (EMNLP'25) | -| [Awesome-AI-Scientist-Papers](https://github.com/openags/Awesome-AI-Scientist-Papers) | ~136 | Resources on AI Scientist systems | -| [Awesome-Auto-Research-Tools](https://github.com/handsome-rich/Awesome-Auto-Research-Tools) | ~129 | Automated research tools catalog | -| [awesome-autoresearch](https://github.com/alvinunreal/awesome-autoresearch) | — | Autonomous improvement loops and research agents | +| [Awesome-Deep-Research](https://github.com/DavidZWZ/Awesome-Deep-Research) | [![GitHub](https://img.shields.io/github/stars/DavidZWZ/Awesome-Deep-Research)](https://github.com/DavidZWZ/Awesome-Deep-Research) | Up-to-date collection of agentic deep research resources | +| [Awesome-Scientific-Language-Models](https://github.com/yuzhimanhua/Awesome-Scientific-Language-Models) | [![GitHub](https://img.shields.io/github/stars/yuzhimanhua/Awesome-Scientific-Language-Models)](https://github.com/yuzhimanhua/Awesome-Scientific-Language-Models) | Survey of scientific LLMs (EMNLP'24) | +| [Awesome-LLM-Scientific-Discovery](https://github.com/HKUST-KnowComp/Awesome-LLM-Scientific-Discovery) | [![GitHub](https://img.shields.io/github/stars/HKUST-KnowComp/Awesome-LLM-Scientific-Discovery)](https://github.com/HKUST-KnowComp/Awesome-LLM-Scientific-Discovery) | Three-level autonomy framework (EMNLP'25) | +| [Awesome-AI-Scientist-Papers](https://github.com/openags/Awesome-AI-Scientist-Papers) | [![GitHub](https://img.shields.io/github/stars/openags/Awesome-AI-Scientist-Papers)](https://github.com/openags/Awesome-AI-Scientist-Papers) | Resources on AI Scientist systems | +| [Awesome-Auto-Research-Tools](https://github.com/handsome-rich/Awesome-Auto-Research-Tools) | [![GitHub](https://img.shields.io/github/stars/handsome-rich/Awesome-Auto-Research-Tools)](https://github.com/handsome-rich/Awesome-Auto-Research-Tools) | Automated research tools catalog | +| [awesome-autoresearch](https://github.com/alvinunreal/awesome-autoresearch) | [![GitHub](https://img.shields.io/github/stars/alvinunreal/awesome-autoresearch)](https://github.com/alvinunreal/awesome-autoresearch) | Autonomous improvement loops and research agents | +| [awesome-ai-research-writing](https://github.com/Leey21/awesome-ai-research-writing) | [![GitHub](https://img.shields.io/github/stars/Leey21/awesome-ai-research-writing)](https://github.com/Leey21/awesome-ai-research-writing) | Prompt templates and agent skills for AI-assisted writing | ### Idea Generation | Repository | Stars | Description | |-----------|-------|-------------| -| [Virtual-Scientists](https://github.com/RenqiChen/Virtual-Scientists) | ~66 | VirSci: multi-agent collaborative idea generation (ACL'25) | -| [ResearchAgent](https://github.com/JinheonBaek/ResearchAgent) | ~29 | Iterative idea proposal with reviewing agents | +| [Virtual-Scientists](https://github.com/RenqiChen/Virtual-Scientists) | [![GitHub](https://img.shields.io/github/stars/RenqiChen/Virtual-Scientists)](https://github.com/RenqiChen/Virtual-Scientists) | VirSci: multi-agent collaborative idea generation (ACL'25) | +| [ResearchAgent](https://github.com/JinheonBaek/ResearchAgent) | [![GitHub](https://img.shields.io/github/stars/JinheonBaek/ResearchAgent)](https://github.com/JinheonBaek/ResearchAgent) | Iterative idea proposal with reviewing agents | ### Literature Review | Repository | Stars | Description | |-----------|-------|-------------| -| [paper-qa](https://github.com/Future-House/paper-qa) | ~8,300 | PaperQA2: superhuman RAG for scientific Q&A | -| [local-deep-research](https://github.com/LearningCircuit/local-deep-research) | ~4,200 | Fully local deep research | -| [researchgpt](https://github.com/mukulpatnaik/researchgpt) | ~3,500 | Conversational interaction with research papers | -| [gpt-researcher](https://github.com/assafelovic/gpt-researcher) | — | Autonomous agent for comprehensive online research | -| [AutoSurvey](https://github.com/AutoSurveys/AutoSurvey) | ~462 | Automated comprehensive literature surveys | -| [storm](https://github.com/stanford-oval/storm) | — | Wikipedia-style article generation (STORM) | +| [paper-qa](https://github.com/Future-House/paper-qa) | [![GitHub](https://img.shields.io/github/stars/Future-House/paper-qa)](https://github.com/Future-House/paper-qa) | PaperQA2: superhuman RAG for scientific Q&A | +| [local-deep-research](https://github.com/LearningCircuit/local-deep-research) | [![GitHub](https://img.shields.io/github/stars/LearningCircuit/local-deep-research)](https://github.com/LearningCircuit/local-deep-research) | Fully local deep research | +| [researchgpt](https://github.com/mukulpatnaik/researchgpt) | [![GitHub](https://img.shields.io/github/stars/mukulpatnaik/researchgpt)](https://github.com/mukulpatnaik/researchgpt) | Conversational interaction with research papers | +| [gpt-researcher](https://github.com/assafelovic/gpt-researcher) | [![GitHub](https://img.shields.io/github/stars/assafelovic/gpt-researcher)](https://github.com/assafelovic/gpt-researcher) | Autonomous agent for comprehensive online research | +| [AutoSurvey](https://github.com/AutoSurveys/AutoSurvey) | [![GitHub](https://img.shields.io/github/stars/AutoSurveys/AutoSurvey)](https://github.com/AutoSurveys/AutoSurvey) | Automated comprehensive literature surveys | +| [storm](https://github.com/stanford-oval/storm) | [![GitHub](https://img.shields.io/github/stars/stanford-oval/storm)](https://github.com/stanford-oval/storm) | Wikipedia-style article generation (STORM) | ### Coding & Experiments | Repository | Stars | Description | |-----------|-------|-------------| -| [autoresearch (Karpathy)](https://github.com/karpathy/autoresearch) | ~55,400 | Autonomous ML experiments, ~12 exp/hour overnight | -| [Paper2Code](https://github.com/going-doer/Paper2Code) | ~4,300 | Multi-agent ML paper to code transformation | -| [RD-Agent](https://github.com/microsoft/RD-Agent) | — | Microsoft's LLM framework for autonomous data science | -| [MLAgentBench](https://github.com/snap-stanford/MLAgentBench) | ~334 | 13 end-to-end ML experimentation tasks | -| [SWE-bench](https://github.com/princeton-nlp/SWE-bench) | — | Real-world GitHub issue resolution benchmark | +| [autoresearch (Karpathy)](https://github.com/karpathy/autoresearch) | [![GitHub](https://img.shields.io/github/stars/karpathy/autoresearch)](https://github.com/karpathy/autoresearch) | Autonomous ML experiments, ~12 exp/hour overnight | +| [Paper2Code](https://github.com/going-doer/Paper2Code) | [![GitHub](https://img.shields.io/github/stars/going-doer/Paper2Code)](https://github.com/going-doer/Paper2Code) | Multi-agent ML paper to code transformation | +| [RD-Agent](https://github.com/microsoft/RD-Agent) | [![GitHub](https://img.shields.io/github/stars/microsoft/RD-Agent)](https://github.com/microsoft/RD-Agent) | Microsoft's LLM framework for autonomous data science | +| [MLAgentBench](https://github.com/snap-stanford/MLAgentBench) | [![GitHub](https://img.shields.io/github/stars/snap-stanford/MLAgentBench)](https://github.com/snap-stanford/MLAgentBench) | 13 end-to-end ML experimentation tasks | +| [SWE-bench](https://github.com/princeton-nlp/SWE-bench) | [![GitHub](https://img.shields.io/github/stars/princeton-nlp/SWE-bench)](https://github.com/princeton-nlp/SWE-bench) | Real-world GitHub issue resolution benchmark | ### Peer Review | Repository | Stars | Description | |-----------|-------|-------------| -| [paper-reviewer](https://github.com/deep-diver/paper-reviewer) | ~824 | arXiv paper reviews + blog posts | -| [ai-peer-review](https://github.com/poldrack/ai-peer-review) | ~123 | Multi-LLM reviews + meta-review synthesis | -| [openreviewer](https://github.com/maxidl/openreviewer) | ~9 | Llama-8B fine-tuned on 79K expert reviews | +| [paper-reviewer](https://github.com/deep-diver/paper-reviewer) | [![GitHub](https://img.shields.io/github/stars/deep-diver/paper-reviewer)](https://github.com/deep-diver/paper-reviewer) | arXiv paper reviews + blog posts | +| [ai-peer-review](https://github.com/poldrack/ai-peer-review) | [![GitHub](https://img.shields.io/github/stars/poldrack/ai-peer-review)](https://github.com/poldrack/ai-peer-review) | Multi-LLM reviews + meta-review synthesis | +| [openreviewer](https://github.com/maxidl/openreviewer) | [![GitHub](https://img.shields.io/github/stars/maxidl/openreviewer)](https://github.com/maxidl/openreviewer) | Llama-8B fine-tuned on 79K expert reviews |