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Katherine M. Collins

Katherine M. Collins has 2 papers in our library, in 2023–2025, most of them on Language models & pretraining, Evaluation & benchmarks; often with Joshua B. Tenenbaum, Lionel Wong, Adrian Weller.

2 papers in our library · 2023–2025

OpenAlex · ORCID · Wikidata · h-index 11 · 57 works · 1,622 citations OpenAlex, 2026-10-14

📄 2 works in our library · 🔗 Cited 47 times in our library · 6 more in our library without a page yet · ⭐ Paper Stars ranking: #9803

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

🎓Massachusetts Institute of TechnologyCambridge · United States2018–2026 · 47 paperscurrent🎓University of CambridgeCambridge · United Kingdom2022–2026 · 46 papersEmploymentcurrent🎓Princeton UniversityPrinceton · United States2026 · 12 paperscurrent🎓Harvard UniversityCambridge · United States2018–2023 · 5 papers🔬Wyss Institute for Biologically Inspired EngineeringBoston2018–2023 · 5 papers

From the bylines of their papers (OpenAlex, 2026-10-14), ORCID and Wikidata; institutions on papers are matched by machine. 3 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 5The field of science this work belongs to (OpenAlex fields).Computer Science · 2 worksArtificial Intelligence · 2 worksInformation Systems · 1 workArts and Humanities · 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

20251 paper20231 paper

 Papers

The most cited first (OpenAlex and our library).

  1. Evaluating Language Models for Mathematics through Interactions (2023 · 40 citations)
    Standard LLM benchmarks compare a single model output with a fixed reference answer. That approach says little about how useful a model is when a person works with it over several turns. The authors argue that assistant-style use needs interactive evaluation. They test this on informal proofs of undergraduate…
  2. On Benchmarking Human-Like Intelligence in Machines (2025 · 7 citations)
    This perspective paper argues that widely used AI benchmarks cannot reliably show whether a model reasons in a human-like way.

All works

8 works of theirs in our library, the most cited first; 2 with a page here, the others link their original until we summarise them.

  1. Evaluating Language Models for Mathematics through InteractionsarXiv:2306.01694Katherine M. Collins, Albert Q. Jiang, Simon Frieder, et al.2023 · 40 citations
  2. Measuring and Mitigating (Over)reliance to Build Human-Compatible AI ↗Proceedings of the AAAI/ACM Conference on AI Ethics and Society · no summary yetLujain Ibrahim et al.2026 · 7 citations
  3. On Benchmarking Human-Like Intelligence in MachinesOpen MindLance Ying, Katherine M. Collins, Lionel Wong, et al.2025 · 7 citations
  4. Cognitive offloading and the speedup illusion in human-AI interaction ↗arXiv (Cornell University) · no summary yetSunny Yu et al.2026 · 1 citation
  5. The efficiency-gain illusion: People underestimate the rate of AI use and overestimate its benefits on simple tasks ↗no summary yetSunny Yu et al.2026 · 1 citation
  6. Understanding the Division of Cognitive Effort in Human-AI Interactions ↗no summary yetSunny Yu et al.2026
  7. Understanding When People use AI on Different Cognitive Tasks ↗no summary yetSunny Yu et al.2026
  8. Understanding Subjectivity through the Lens of Motivational Context in Model-Generated Image Satisfaction ↗arXiv (Cornell University) · no summary yetSenjuti Dutta et al.2024

 Co-authors here

12 of 13 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 47 times (of the 149,439 papers whose bibliographies we read); 23 citing papers with a page here →.

Updated

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