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Xufeng Duan

Xufeng Duan has 5 papers in our library, in 2023–2026, most of them on Language models & pretraining, Interpretability, Implicature; often with Zhenguang Cai, Chenming Shang, Ercong Nie.

5 papers in our library · 2023–2026

OpenAlex · ORCID · h-index 4 · 28 works · 84 citations OpenAlex, 2026-10-14

📄 5 works in our library · 🔗 Cited 54 times in our library · ⭐ Paper Stars ranking: #7250

The profile is the library's match of the name; two people with one name are not always told apart.

Elsewhere: Google Scholar · Semantic Scholar · dblp · ACL Anthology

 Affiliations

🎓Chinese University of Hong KongHong Kong · China2023–2026 · 17 papersEducation · Ph.DEmployment since 2025 · Research Assistant Professor, Brain and mind institutecurrent

From the bylines of their papers (OpenAlex, 2026-10-14), ORCID and Wikidata; institutions on papers are matched by machine.

 Fields, topics and concepts

Of its works in our library, with the number of works on each.

📚 Shelves 9The field of science this work belongs to (OpenAlex fields).Arts and Humanities · 5 worksLanguage and Linguistics · 5 worksComputer Science · 4 worksArtificial Intelligence · 4 worksSocial Sciences · 1 workCognitive Neuroscience · 1 workNeuroscience · 1 workGeneral Social Sciences · 1 workHistory and Philosophy of Science · 1 work

🧭 Topics 4Research subjects and languages the work is about.Language models & pretraining · 3 worksInterpretability · 2 worksImplicature · 1 workPsycholinguistics & language acquisition · 1 work

💡 Concepts 1Key ideas and methods explained on our concept pages.Psycholinguistics · 1 work

 Works by year

2020s

20261 paper20252 papers20232 papers

 Papers

The most cited first (OpenAlex and our library).

  1. Do large language models resemble humans in language use? (2023 · 39 citations)
    The paper asks whether chatbots built on large language models show the behavioural regularities that psycholinguists have documented in people.
  2. Large Language Models for Automated Literature Review: An Evaluation of Reference Generation, Abstract Writing, and Review Composition (2025 · 14 citations)
    Researchers increasingly ask plain chatbots without retrieval support to help draft literature reviews. Yet nobody has systematically measured how trustworthy these outputs are. The authors build a fully automatic benchmark with no human in the loop. They use 1,105 expert-written reviews published in 2023 across 51…
  3. Locate, Steer, and Improve: A Practical Survey of Actionable Mechanistic Interpretability in Large Language Models (2026 · 9 citations)
    Most earlier reviews of mechanistic interpretability (MI) in LLMs describe what researchers have discovered inside models.
  4. Unveiling Language Competence Neurons: A Psycholinguistic Approach to Model Interpretability (2025 · 8 citations)
    Large language models often respond like people in psycholinguistic experiments, but it remains unclear which internal units support these abilities.
  5. Does ChatGPT Resemble Humans in Processing Implicatures? (2023 · 4 citations)
    The paper asks whether ChatGPT handles conversational implicatures the way people do. Implicatures are meanings a listener infers beyond the literal content, for example reading "most" as "not all". The authors ran three preregistered experiments on the Feb 13 version of ChatGPT and reused paradigms from human…

 Co-authors here

12 of 14 co-authors with a page, the most papers together first.

Venues

Where their works here were published, the most works first, with the editions of those that have a page.

 Cited by

Papers of our library cite their works 54 times (of the 149,439 papers whose bibliographies we read); 11 citing papers with a page here →.

Updated

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