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Michael Hind

Michael Hind has 2 papers in our library, in 2018–2026, most of them on Language models & pretraining, Evaluation & benchmarks; often with David Piorkowski, Alexandra Olteanu, Elizabeth M. Daly.

2 papers in our library · 2018–2026

OpenAlex · h-index 36 · 111 works · 6,878 citations OpenAlex, 2026-10-14

📄 2 works in our library · 🔗 Cited 12 times in our library · ⭐ Paper Stars ranking: #4744

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

🏢IBMArmonk · United States1991–2026 · 54 paperscurrent🤝Alliance for Safe KidsYorktown Heights · United States2022–2026 · 2 paperscurrent🔬IBM Research - Thomas J. Watson Research CenterYorktown Heights · United States1991–2020 · 53 papers🎓SUNY New PaltzNew Paltz · United States1994–1998 · 5 papers🎓New York UniversityNew York · United States1989 · 2 papers

From the bylines of their papers (OpenAlex, 2026-10-14), ORCID and Wikidata; institutions on papers are matched by machine. 2 more institutions on single bylines are not listed.

 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).Artificial Intelligence · 2 worksComputer Science · 2 worksEngineering · 1 workSafety Research · 1 workSafety, Risk, Reliability and Quality · 1 workSocial Sciences · 1 workArts and Humanities · 1 workDecision Sciences · 1 workInformation Systems · 1 workInformation Systems and Management · 1 workLanguage and Linguistics · 1 work

🧭 Topics 2Research subjects and languages the work is about.Evaluation & benchmarks · 1 workLanguage models & pretraining · 1 work

 Works by year

2020s

20261 paper

2010s

20181 paper

 Papers

The most cited first (OpenAlex and our library).

  1. FactSheets: Increasing Trust in AI Services through Supplier's Declarations of Conformity (2018 · 437 citations)
    The paper looks at how to build trust in AI services. These are cloud-based functions accessed through an API, and they often combine several models and datasets. The authors, from IBM Research, argue that where errors are costly (lending, the courts, medicine), accuracy alone is not enough. Consumers need to know…
  2. BenchNavigator: A Discovery Interface for Comparing LLM Benchmarks (2026)
    The number of LLM benchmarks keeps growing, and information about each one is spread across papers, repositories and dataset cards that use different fields, terms and levels of detail.

 Co-authors here

8 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 12 times (of the 149,439 papers whose bibliographies we read); 2 citing papers with a page here →.

Updated

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