Aaron Tay's Musings about Librarianship
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Charleston Conference Asia 2026 in Bangkok & FORCE2026 in Singapore: Two Conferences for Researchers and Librarians in the Asia-Pacific
Jun 13
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Aaron Tay
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Aaron Tay's Musings about Librarianship
Charleston Conference Asia 2026 in Bangkok & FORCE2026 in Singapore: Two Conferences for Researchers and Librarians in the Asia-Pacific
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How should academic retrieval augmented generation (RAG) systems handle retracted works? (II)
I test with a low-profile retracted paper and consider yet another blind spot - uploaded PDFs of retracted papers into LLM systems
Jun 11
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Aaron Tay
1
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Aaron Tay's Musings about Librarianship
How should academic retrieval augmented generation (RAG) systems handle retracted works? (II)
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How should academic retrieval augmented generation (RAG) systems handle retracted works?
I test Elicit, Scite assistant, SciSpace, Primo Research Assistant, Undermind, Ai2 ScholarQA and many more to see how they handle retracted papers.
Jun 2
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Aaron Tay
3
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Aaron Tay's Musings about Librarianship
How should academic retrieval augmented generation (RAG) systems handle retracted works?
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May 2025
Comparative review on Primo Research Assistant, Scopus AI, Web of Science Research Assistant and a explainer for AI search for librarians
May was a busy month for me in terms of output.
May 30
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Aaron Tay
1
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Aaron Tay's Musings about Librarianship
Comparative review on Primo Research Assistant, Scopus AI, Web of Science Research Assistant and a explainer for AI search for librarians
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Ai2 Paper Finder and Futurehouse PaperQA2: More transparent Deep Search for Scholars?
As an academic librarian, I’m often asked: “Which AI search tool should I use?” With a flood of new tools powered by large language models (LLMs…
May 11
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Aaron Tay
1
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Ai2 Paper Finder and Futurehouse PaperQA2: More transparent Deep Search for Scholars?
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Testing AI Academic Search Engines - What to find out and how to test (2)
Following my recent talk for the Boston Library Consortium, many of you expressed a strong interest in learning how to test the new generation of…
May 1
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Aaron Tay
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Aaron Tay's Musings about Librarianship
Testing AI Academic Search Engines - What to find out and how to test (2)
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April 2025
The reproducibility and interpretability of academic Ai search engines like Primo Research Assistant, Web of Science Research Assistant…
I recently compared three academic AI search tools: Primo Research Assistant, Web of Science Research Assistant, and Scopus AI for a review article.
Apr 14
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Aaron Tay
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The reproducibility and interpretability of academic Ai search engines like Primo Research Assistant, Web of Science Research Assistant, Scopus Ai and more
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March 2025
Testing AI Academic Search Engines (1): Defining the tools
Introduction
Mar 30
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Aaron Tay
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Testing AI Academic Search Engines (1): Defining the tools
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February 2025
The Rise of Agent-Based Deep Research: Exploring OpenAI’s Deep Research, Gemini Deep Research, Perplexity Deep Research, Ai2 ScholarQA…
Synopsis (Grok 3.0 aided)
Feb 20
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Aaron Tay
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The Rise of Agent-Based Deep Research: Exploring OpenAI’s Deep Research, Gemini Deep Research, Perplexity Deep Research, Ai2 ScholarQA, STORM, and More in 2025
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When is a Hallucination Not a Hallucination? The Role of Implicit Knowledge in RAG
Summary (summarised by Gemini 2.0-exp)
Feb 3
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Aaron Tay
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When is a Hallucination Not a Hallucination? The Role of Implicit Knowledge in RAG
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January 2025
Learning about information retrieval and "AI search" in 2025
I recently gave a 1 hour talk to the Chinese American Librarians Association(CALA) Asia Pacific Chapter on my favourite topic - How "AI" is changing…
Jan 12
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Aaron Tay
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Aaron Tay's Musings about Librarianship
Learning about information retrieval and "AI search" in 2025
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December 2024
Avoiding misconceptions - testing "AI search tools" - What not to do & some research questions to consider
As more and more academic search tools start to increasingly leverage on the fruits of "AI" (actually transformer based models) and librarians start to…
Dec 27, 2024
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Aaron Tay
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Aaron Tay's Musings about Librarianship
Avoiding misconceptions - testing "AI search tools" - What not to do & some research questions to consider
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