Robert Hawkins
Robert Hawkins has 5 papers in our library, in 2019–2025, most of them on English, Language models & pretraining, Question answering; often with Noah D. Goodman, Michael C. Frank, Michael Franke. 2 of them are among the papers read by Mova, the project.
OpenAlex · ORCID · h-index 1 · 19 works · 1 citations OpenAlex, 2026-10-14
📄 5 works in our library · 🔗 Cited 42 times in our library · 5 more in our library without a page yet · ⭐ Paper Stars ranking: #6558
Affiliations
Fields, topics and concepts
📚 Shelves 11The field of science this work belongs to (OpenAlex fields).Arts and Humanities · 5 worksLanguage and Linguistics · 4 worksArtificial Intelligence · 4 worksComputer Science · 4 worksCultural Studies · 1 workExperimental and Cognitive Psychology · 1 workPsychology · 1 workSocial Sciences · 1 workDecision Sciences · 1 workGeneral Decision Sciences · 1 workPhilosophy · 1 work
🧭 Topics 3Research subjects and languages the work is about.English · 2 worksLanguage models & pretraining · 1 workQuestion answering · 1 work
Works by year
2020s
2010s
Papers
- Characterizing the dynamics of learning in repeated reference games (2019 · 67 citations)
When two people repeatedly talk about the same hard-to-name objects, their wording changes over time. Hawkins, Frank and Goodman study this process with a large online version of the classic tangram reference game. One player, the director, describes a target shape. The other, the matcher, has to pick it out of… - Continual Adaptation for Efficient Machine Communication (2020 · 38 citations)
Neural language models can reproduce the conventions in their training data, but unlike people they cannot invent new shorthand with a specific partner during an interaction. - A pragmatic account of the weak evidence effect (2021 · 7 citations)
The weak evidence effect occurs when an argument that only slightly supports a conclusion leaves listeners less convinced of it. - Comparing human and LLM politeness strategies in free production (2025 · 6 citations)
The study replicates Yoon et al. (2020) with LLMs. A speaker gives feedback on a performance rated 0–3 hearts, with the goal of being informative, kind, or both, and chooses among «was / wasn't» + terrible, bad, good, amazing. Models of 70B parameters and more reproduce the human pattern (Spearman up to 0.75): with… - Integrating Neural and Symbolic Components in a Model of Pragmatic Question-Answering (2025 · 1 citation)
The case is over-informative answering: asked «Do you have iced tea?» in a café that has iced coffee, soda and Chardonnay, people answer «No, but we have iced coffee».
All works
- Characterizing the dynamics of learning in repeated reference gamesCognitive ScienceRobert D. Hawkins, Michael C. Frank, Noah D. Goodman2019 · 67 citations
- Continual Adaptation for Efficient Machine CommunicationConference on Computational Natural Language Learning (CoNLL)Robert Hawkins, Minae Kwon, Dorsa Sadigh, et al.2020 · 38 citations
- A pragmatic account of the weak evidence effectOpen MindSamuel A. Barnett, Thomas L. Griffiths, Robert D. Hawkins2021 · 7 citations
- Comparing human and LLM politeness strategies in free productionHaoran Zhao, Robert D. HawkinsEnglish · 6 citations
- Accommodation and Epistemic Vigilance: A Pragmatic Account of Why LLMs Fail to Challenge Harmful Beliefs ↗Proceedings of the 64th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers) · no summary yetMyra Cheng, Robert D. Hawkins, Dan Jurafsky2026 · 4 citations
- Cognitive offloading and the speedup illusion in human-AI interaction ↗arXiv (Cornell University) · no summary yetSunny Yu et al.2026 · 1 citation
- 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
- Integrating Neural and Symbolic Components in a Model of Pragmatic Question-AnsweringPolina Tsvilodub, Robert D. Hawkins, Michael FrankeEnglish · 1 citation
- Understanding the Division of Cognitive Effort in Human-AI Interactions ↗no summary yetSunny Yu et al.2026
- Understanding When People use AI on Different Cognitive Tasks ↗no summary yetSunny Yu et al.2026
Co-authors here
Venues
- Cognitive Science: Cognitive Science 2019
- Conference on Computational Natural Language Learning (CoNLL): CoNLL 2020
- Conference on Empirical Methods in Natural Language Processing (EMNLP): EMNLP 2025
- Open Mind: Open Mind 2021
- Society for Computation in Linguistics (SCiL): SCiL 2025
- Proceedings of the 64th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)
Cited by
Updated
This page in Markdown → https://md.research.elamur.ai/free/en/authors/robert-hawkins/