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Musashi Hinck

Musashi Hinck has 3 papers in our library, in 2024–2026, most of them on Language models & pretraining, Evaluation & benchmarks, Vision & language; often with Dirk Hovy, Paul Röttger, Valentin Hofmann.

3 papers in our library · 2024–2026

OpenAlex · ORCID · h-index 4 · 27 works · 108 citations OpenAlex, 2026-10-14

📄 3 works in our library · 🔗 Cited 124 times in our library · ⭐ Paper Stars ranking: #6013

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

🏢IntelSanta Clara · United States2024–2026 · 18 papersEmployment since 2024 · AI Research Scientist, Emergent AIcurrent🎓Princeton UniversityPrinceton · United States2021–2024 · 2 papersEmployment 2022–2024 · Postdoctoral Research Associate, Data-Driven Social Science Initiative

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 7The field of science this work belongs to (OpenAlex fields).Arts and Humanities · 3 worksComputer Science · 3 worksArtificial Intelligence · 3 worksLanguage and Linguistics · 3 worksSafety Research · 2 worksSocial Sciences · 2 worksComputer Vision and Pattern Recognition · 1 work

🧭 Topics 4Research subjects and languages the work is about.Language models & pretraining · 3 worksEvaluation & benchmarks · 1 workEnglish · 1 workVision & language · 1 work

 Works by year

2020s

20261 paper20242 papers

 Papers

The most cited first (OpenAlex and our library).

  1. Political Compass or Spinning Arrow? Towards More Meaningful Evaluations for Values and Opinions in Large Language Models (2024 · 137 citations)
    Many studies measure the values and opinions of large language models (LLMs) by giving them multiple-choice questionnaires.
  2. IssueBench: Millions of Realistic Prompts for Measuring Issue Bias in LLM Writing Assistance (2026 · 16 citations)
    LLMs are widely used as writing assistants, and a model that consistently favors one side of a political issue could gradually shift what users and their readers believe.
  3. Why do LLaVA Vision-Language Models Reply to Images in English? (2024 · 12 citations)
    LLaVA-style vision-language models often ignore the language of a question and answer in English when an image is attached.

 Co-authors here

11 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 124 times (of the 149,439 papers whose bibliographies we read); 27 citing papers with a page here →.

Updated

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