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Sean Trott

Sean Trott has 7 papers in our library, in 2021–2026, most of them on English, Language models & pretraining, Evaluation & benchmarks; often with Benjamin Bergen, Pamela D. Rivière, Cameron R. Jones.

7 papers in our library · 2021–2026

OpenAlex · ORCID · h-index 12 · 136 works · 654 citations OpenAlex, 2026-10-14

📄 7 works in our library · 🔗 Cited 32 times in our library · ⭐ Paper Stars ranking: #7396

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

🎓University of California San DiegoSan Diego · United States2018–2026 · 32 papersEmployment · Cognitive Sciencecurrent🎓Rutgers, The State University of New JerseyNew Brunswick · United States2021–2026 · 14 papersEmployment since 2026 · Assistant Professor, Psychologycurrent🔬International Computer Science InstituteBerkeley · United States2015–2018 · 8 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 10The field of science this work belongs to (OpenAlex fields).Arts and Humanities · 7 worksLanguage and Linguistics · 7 worksArtificial Intelligence · 6 worksComputer Science · 6 worksDevelopmental and Educational Psychology · 2 worksPsychology · 2 worksDecision Sciences · 1 workManagement Science and Operations Research · 1 workSafety Research · 1 workSocial Sciences · 1 work

🧭 Topics 5Research subjects and languages the work is about.English · 3 worksLanguage models & pretraining · 2 worksEvaluation & benchmarks · 2 worksReasoning · 1 workWord sense disambiguation · 1 work

 Works by year

2020s

20263 papers20242 papers20221 paper20211 paper

 Papers

The most cited first (OpenAlex and our library).

  1. RAW-C: Relatedness of Ambiguous Words in Context (A New Lexical Resource for English) (2021 · 29 citations)
    Contextual embeddings do well on Word Sense Disambiguation. However, WSD only checks whether a model separates discrete senses. It does not test whether a model follows the graded, context-driven shifts in meaning that people perceive. The authors built RAW-C to test both abilities.
  2. Comparing Humans and Large Language Models on an Experimental Protocol Inventory for Theory of Mind Evaluation (EPITOME) (2024 · 17 citations)
    Whether large language models show Theory of Mind (ToM) is disputed. Earlier evaluations often relied on single tasks and gave conflicting results, and human ToM measures correlate weakly with one another. Jones, Trott and Bergen build EPITOME, an inventory of six established psychology experiments. Together they…
  3. Measuring and Modifying the Readability of English Texts with GPT-4 (2024 · 14 citations)
    The paper asks whether an off-the-shelf large language model can serve as a readability tool, both to judge how easy an English passage is and to rewrite it toward an easier or harder level.
  4. Language Statistics and False Belief Reasoning: Evidence from 41 Open-Weight LMs (2026 · 3 citations)
    This paper addresses a methodological weakness in studies that examine how language models reason about others' minds.
  5. Contextualized Sensorimotor Norms: multi-dimensional measures of sensorimotor strength for ambiguous English words, in context (2022 · 2 citations)
    Sensorimotor resources such as the Lancaster Sensorimotor Norms assign each word one profile, rated without context.
  6. Start Making Sense(s): A Developmental Probe of Attention Specialization Using Lexical Ambiguity (2026 · 1 citation)
    Researchers can describe how self-attention works mathematically, yet it remains unclear which attention heads perform which functions and when they acquire them during training.
  7. Graduating the Benchmark Scale: Lessons from Thermometry (2026)
    This position paper from the EvalEval 2026 workshop looks at a neglected part of LLM benchmark validity. It asks whether a benchmark score can be treated as a graded measure of an underlying capability, and what justifies reading equal score gaps as equal differences in ability. The authors frame this with Hasok…

 Co-authors here

4 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); 9 citing papers with a page here →.

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