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Microsoft (Canada)

Canada

38 papers here2.1k citations across 38
fields
  • cs.HC12
  • cs.IR7
  • cs.LG5
  • cs.CL2
  • cs.CR2
  • cs.CY2
  • cs.AI1
  • cs.DC1
ROR 04xhxg104OpenAlex

affiliations via OpenAlex

output
20122025
most citedDeep Reinforcement Learning that Matters

345 citations

researchers with a paper here
  • Q. Liao3 profiles9 · h 42
  • Bhaskar Mitra7 · h 36
  • Alexandra Olteanu2 profiles4 · h 26
  • Nick Craswell4 · h 33
  • Daniel Fernando Campos3 · h 20
  • Emine Yilmaz3 · h 41
  • Mark O. Riedl2 profiles3 · h 50
  • Upol Ehsan3 · h 20
  • Fernando Diaz2 · h 47
  • Hamed Zamani2 · h 42
  • Jennifer Wortman Vaughan2 · h 43
  • Jimmy J. Lin2 · h 89
collaborating institutions
  • Microsoft (United States)US17 papers
  • Microsoft Research Montréal (Canada)10 papers
  • Carnegie Mellon UniversityUS4 papers
  • Georgia Institute of TechnologyUS4 papers
  • University College LondonGB4 papers
  • University of Illinois Urbana-ChampaignUS4 papers
  • Bellevue Hospital CenterUS3 papers
  • McGill UniversityCA2 papers
  • Microsoft Research New York City (United States)2 papers
  • Microsoft Research (United Kingdom)GB2 papers
  • Orange (France)FR2 papers
  • Princeton UniversityUS2 papers
Showing 2024 · cs.HCShow all

1 paper · 2 filters

cs.HC2024★ 132 cited

"I'm Not Sure, But...": Examining the Impact of Large Language Models' Uncertainty Expression on User Reliance and Trust

Sunnie S. Y. Kim, Q. Vera Liao, Mihaela Vorvoreanu +2

Widely deployed large language models (LLMs) can produce convincing yet incorrect outputs, potentially misleading users who may rely on them as if they were correct. To reduce such…

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