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AI academic search tools show promise but need improvement

A year of experimenting with AI academic search tools has revealed significant limitations and areas for improvement. The author found that current AI tools struggle with accuracy, often hallucinating citations and misinterpreting complex queries. While promising, these tools require substantial development to become reliable resources for academic research. AI

IMPACT Current AI academic search tools require significant development to overcome issues with accuracy and hallucination before they can be reliably used by researchers.

RANK_REASON The cluster consists of social media posts linking to a personal blog post reflecting on experiences with AI academic search tools, which constitutes commentary.

Read on Mastodon — sigmoid.social →

AI-generated summary · Google Gemini · from 2 sources. How we write summaries →

COVERAGE [2]

  1. Mastodon — sigmoid.social TIER_1 English(EN) · [email protected] ·

    What a year of testing & thinking about AI academic search taught me aarontay.substack.com/p/what-a-year-… #AI #search #libraries #librarians #agents (excellent

    What a year of testing & thinking about AI academic search taught me aarontay.substack.com/p/what-a-year-… #AI #search #libraries #librarians #agents (excellent post) What a year of testing & think...

  2. Mastodon — sigmoid.social TIER_1 English(EN) · [email protected] ·

    What a year of testing & thinking about AI academic search taught me https:// aarontay.substack.com/p/what-a -year-of-testing-and-thinking # AI # search # libra

    What a year of testing & thinking about AI academic search taught me https:// aarontay.substack.com/p/what-a -year-of-testing-and-thinking # AI # search # libraries # librarians # agents (excellent post)