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Alex J. Chan

Alex J. Chan has 2 papers in our library, in 2023–2024, most of them on Language models & pretraining; often with Chris Lu, Jakob Foerster, Jan Brauner.

2 papers in our library · 2023–2024

OpenAlex · ORCID · h-index 3 · 28 works · 37 citations OpenAlex, 2026-10-14

📄 2 works in our library · 🔗 Cited 32 times in our library · ⭐ Paper Stars ranking: #9893

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

🤝American College of RadiologyReston · United States2026 · 1 papercurrent🎓Harvard UniversityCambridge · United States2026 · 1 papercurrent🔬Mayo ClinicRochester · United States2026 · 1 papercurrent🎓University of CambridgeCambridge · United Kingdom2021–2023 · 9 papers

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 11The field of science this work belongs to (OpenAlex fields).Computer Science · 2 worksArtificial Intelligence · 2 worksPsychology · 1 workSocial Psychology · 1 workSocial Sciences · 1 workSociology and Political Science · 1 workArts and Humanities · 1 workDecision Sciences · 1 workInformation Systems · 1 workLanguage and Linguistics · 1 workManagement Science and Operations Research · 1 work

🧭 Topics 1Research subjects and languages the work is about.Language models & pretraining · 1 work

 Works by year

2020s

20241 paper20231 paper

 Papers

The most cited first (OpenAlex and our library).

  1. How to Catch an AI Liar: Lie Detection in Black-Box LLMs by Asking Unrelated Questions (2023 · 30 citations)
    This work addresses detecting when a large language model gives a false answer even though it demonstrably knows the correct one.
  2. Discovering Preference Optimization Algorithms with and for Large Language Models (2024 · 14 citations)
    Offline preference alignment of LLMs usually relies on hand-designed convex losses such as DPO, IPO or SLiC.

 Co-authors here

7 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 32 times (of the 149,439 papers whose bibliographies we read); 16 citing papers with a page here →.

Updated

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