ai scientist - chunhualiao/public-docs GitHub Wiki
information retrieval
- idea generation:
- conduct experiments
- write the paper
- related work section
- manage citations: find related work papers, create/copy bibtext entries, then cite it in the text, BibTex Manager Extension of VS Code
https://www.futurehouse.org/research-announcements/launching-futurehouse-platform-ai-agents
The ai scientist: Towards fully automated open-ended scientific discovery. arXiv preprint arXiv:2408.06292, 2024a. The AI Scientist framework generates novel research ideas, writes code, conducts experiments, and creates a full scientific paper with an automated peer-review system to evaluate the work.
- The AI Scientist: Towards Fully Automated Open-Ended Scientific Discovery
- The AI Scientist-v2: Workshop-Level Automated Scientific Discovery via Agentic Tree Search
AI-Researcher: Fully-Automated Scientific Discovery with LLM Agents
- github.com/HKUDS/AI-Researcher
Agent Laboratory: Using LLM Agents as Research Assistants
Researchagent: Iterative research idea generation over scientific literature with large language models. arXiv preprint arXiv:2404.07738, 2024.
- automatically generates research ideas, methods, and experiment designs, iteratively refining them through feedback from multiple reviewing agents that mirror peer discussions and leverage human-aligned evaluation criteria to improve the outputs.
SCIAgents: automating scientific discovery through multi-agent intelligent graph reasoning, Sep, 2024
- Can llms generate novel research ideas? a large-scale human study with 100+ nlp researchers. arXiv preprint arXiv:2409.04109, 2024.
Five main categories, each with specific tools mentioned in the Nature article:
-
Literature Review Tools:
- Gemini Deep Research - Conducts in-depth searches over 30 minutes with text, figures, and proper citations
- OpenAI Deep Research - Advanced active learning for comprehensive literature exploration
- SciSpace - "Chat with PDF" function for deep dives into specific papers
- Other tools mentioned: Claude, NotebookLM, PDF.ai
- check academic literature using either Semantic Scholar or OpenAlex APIs
-
Hypothesis Generation:
- Research Rabbit - Visualization tool that generates interconnected webs of research by topic, author, or methodology
- Allen Institute Tools - Upcoming hypothesis generation products combining ideas across papers into novel concepts
- Elicit - Research assistant for generating experiments based on hypotheses
-
Experimental Assistants:
- CRESt - Copilot for Real-world Experimental Scientist - helps craft and run experiments with robotic integration
- Scite - AI research assistant for experiment planning and literature analysis
- ChatGPT for Troubleshooting - Helps brainstorm explanations and debug experimental issues
-
Code & Statistics Tools:
- GitHub Copilot - AI pair programmer for coding data analysis and visualizations
- Amazon CodeWhisperer (Amazon Q Developer) - Code generation with security scanning capabilities
- Cursor - Editor that makes data analysis easier with visualization capabilities
- CatalyzeX - Locates and shares existing code from published papers
-
Scientific Writing Aids:
- Paperpal - Checks academic manuscripts against journal submission guidelines
- Thesify - Multi-stop platform for students with focus on grant writing and paper formatting
- SciSpace - Templates for research proposals, literature reviews, and abstracts
- Coral AI/Quillbot/Whisper - Translation capabilities covering dozens of languages
AI tools are spotting errors in research papers: inside a growing movement, Nature, 2025