AI for Scientific Search

原始链接: https://arxiv.org/abs/2507.01903

arXivLabs is a framework that allows collaborators to develop and share new arXiv features directly on our website. Both individuals and organizations that work with arXivLabs have embraced and accepted our values of openness, community, excellence, and user data privacy. arXiv is committed to these values and only works with partners that adhere to them. Have an idea for a project that will add value for arXiv's community? Learn more about arXivLabs.

This Hacker News thread discusses the use of AI in scientific research, sparked by an announcement about "AI for Scientific Search (arxiv.org)." Users express interest in tools that can automate literature review tasks, such as finding relevant papers, extracting metadata, summarizing content, and generating relationship graphs. Several tools and resources are suggested: minicule.com (concept extraction), metawoRld and DataFindR (R packages for structured literature reviews), elicit.com (AI-powered research assistant), sturdystatistics.com (literature review search tool using hierarchical mixture models), tatevlab.com ("Spotify" for research papers with summarization features), undermind.ai (research assistant), futurehouse.org (Chemistry LLM), paperai (open-source tool), connectedpapers.com, and emergentmind. A survey on AI's role in research is also discussed, highlighting AI's potential but noting the need for comprehensive overviews. Concerns are raised about over-reliance on AI and the distinction between general AI and LLMs. A user notes skepticism about the paper's origin, as the authors are affiliated with Bytedance and may not be experts in scientific fields.

arXivLabs is a framework that allows collaborators to develop and share new arXiv features directly on our website.

Both individuals and organizations that work with arXivLabs have embraced and accepted our values of openness, community, excellence, and user data privacy. arXiv is committed to these values and only works with partners that adhere to them.

Have an idea for a project that will add value for arXiv's community? Learn more about arXivLabs.