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Deb Roy

Deb Roy has 2 papers in our library, in 2016–2023, most of them on Speech act theory, Language models & pretraining; often with Jad Kabbara, Soroush Vosoughi.

2 papers in our library · 2016–2023

OpenAlex · ORCID · Wikidata · h-index 40 · 236 works · 18,841 citations OpenAlex, 2026-10-14

📄 2 works in our library · 🔗 Cited 149 times in our library · 3 more in our library without a page yet · ⭐ Paper Stars ranking: #6023

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 States1996–2026 · 207 papersEmployment · Professor, Media Arts and Sciencescurrent🔬MIT Media LabCambridge · United States1996–2026 · 98 paperscurrent

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 8The field of science this work belongs to (OpenAlex fields).Artificial Intelligence · 2 worksArts and Humanities · 2 worksComputer Science · 2 worksLanguage and Linguistics · 2 worksClinical Psychology · 1 workPsychology · 1 workSafety Research · 1 workSocial Sciences · 1 work

🧭 Topics 2Research subjects and languages the work is about.Language models & pretraining · 1 workSpeech act theory · 1 work

 Works by year

2020s

20231 paper

2010s

20161 paper

 Papers

The most cited first (OpenAlex and our library).

  1. PersonaLLM: Investigating the Ability of Large Language Models to Express Personality Traits (2023 · 211 citations)
    Chatbots with assigned personalities are increasingly common, yet it is rarely checked whether such "LLM personas" actually behave in line with the traits they are given.
  2. Tweet Acts: A Speech Act Classifier for Twitter (2016 · 32 citations)
    Most computational work on tweets looks at literal content. This paper asks a pragmatic question instead: what is the author doing with the tweet? Earlier dialogue-act methods handle Twitter's noisy, informal language poorly. The authors build a six-class taxonomy based on Searle: Assertion, Recommendation…

All works

5 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. PersonaLLM: Investigating the Ability of Large Language Models to Express Personality TraitsFindings of the Association for Computational LinguisticsHang Jiang, Xiajie Zhang, Xubo Cao, et al.2023 · 211 citations
  2. DeepStance at SemEval-2016 Task 6: Detecting Stance in Tweets Using Character and Word-Level CNNs ↗Proceedings of the 10th International Workshop on Semantic Evaluation (SemEval-2016) · no summary yetPrashanth Vijayaraghavan et al.2016 · 75 citations
  3. Leveraging Large Language Models for Learning Complex Legal Concepts through Storytelling ↗Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers) · no summary yetHang Jiang et al.2024 · 35 citations
  4. Tweet Acts: A Speech Act Classifier for TwitterarXiv:1605.05156Soroush Vosoughi, Deb Roy2016 · 32 citations
  5. FaciliTrain: Practicing Facilitation Skills through AI-Simulated Group Dialogue ↗arXiv:2607.10850 · no summary yetHang Jiang et al.2026

 Co-authors here

2 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 149 times (of the 149,439 papers whose bibliographies we read); 37 citing papers with a page here →.

Updated

This page in Markdown → https://md.research.elamur.ai/free/en/authors/deb-roy/