224 citations
- Microsoft (United States)US8 papers
- Microsoft Research Montréal (Canada)6 papers
- Carnegie Mellon UniversityUS3 papers
- University College LondonGB3 papers
- University of Illinois Urbana-ChampaignUS3 papers
- Bellevue Hospital CenterUS2 papers
- Georgia Institute of TechnologyUS2 papers
- Microsoft Research New York City (United States)2 papers
- Orange (France)FR2 papers
- Research CanadaCA2 papers
- Stanford UniversityUS2 papers
- University of Massachusetts AmherstUS2 papers
Showing 2025 · cs.HCShow all
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cs.HC2025★ 22 cited
A Taxonomy of Linguistic Expressions That Contribute To Anthropomorphism of Language Technologies
Alicia DeVrio, Myra Cheng, Lisa Egede +2
Recent attention to anthropomorphism -- the attribution of human-like qualities to non-human objects or entities -- of language technologies like LLMs has sparked renewed discussio…
cs.HC2025★ 52 cited
Fostering Appropriate Reliance on Large Language Models: The Role of Explanations, Sources, and Inconsistencies
Sunnie S. Y. Kim, Jennifer Wortman Vaughan, Q. Vera Liao +2
Large language models (LLMs) can produce erroneous responses that sound fluent and convincing, raising the risk that users will rely on these responses as if they were correct. Mit…