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pro vyhledávání: '"Mengesha, Zion"'
Autor:
Cohn, Michelle, Pushkarna, Mahima, Olanubi, Gbolahan O., Moran, Joseph M., Padgett, Daniel, Mengesha, Zion, Heldreth, Courtney
People now regularly interface with Large Language Models (LLMs) via speech and text (e.g., Bard) interfaces. However, little is known about the relationship between how users anthropomorphize an LLM system (i.e., ascribe human-like characteristics t
Externí odkaz:
http://arxiv.org/abs/2405.06079
Autor:
Garg, Shefali, Huo, Zhouyuan, Sim, Khe Chai, Schwartz, Suzan, Chua, Mason, Aksënova, Alëna, Munkhdalai, Tsendsuren, King, Levi, Wright, Darryl, Mengesha, Zion, Hwang, Dongseong, Sainath, Tara, Beaufays, Françoise, Mengibar, Pedro Moreno
Automatic speech recognition (ASR) systems have been shown to have large quality disparities between the language varieties they are intended or expected to recognize. One way to mitigate this is to train or fine-tune models with more representative
Externí odkaz:
http://arxiv.org/abs/2309.09996
Autor:
Cohn, Michelle1,2, Mengesha, Zion1,3, Lahav, Michal4 zamengesha@stanford.edu, Heldreth, Courtney4
Publikováno v:
JASA Express Letters. Apr2024, Vol. 4 Issue 4, p1-8. 8p.
Autor:
Koenecke, Allison, Nam, Andrew, Lake, Emily, Nudell, Joe, Quartey, Minnie, Mengesha, Zion, Toups, Connor, Rickford, John R., Jurafsky, Dan, Goel, Sharad
Publikováno v:
Proceedings of the National Academy of Sciences of the United States of America, 2020 Apr 01. 117(14), 7684-7689.
Externí odkaz:
https://www.jstor.org/stable/26929712
In this norming study, we investigate whether the interpretation of sentences evokes a racialized criminality stereotype (i.e. that black men engage in more criminal activity than white men) as well as sentences that repress or are orthogonal to this
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::5f4ba994c0831ecd0f2a1712f1dd404f
In this pilot norming study, we investigate interpretation of sentences that evoke a racialized criminality stereotype (i.e. that black men engage in more criminal activity than white men) as well as sentences that suppress or are orthogonal to this
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::cc307bf54efde0f30c2cf07d7ef8d8f5
In this pilot norming study, we investigate interpretation of sentences that evoke a racialized criminality stereotype (i.e. that black men engage in more criminal activity than white men) as well as sentences that suppress or are orthogonal to this
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::c6cb96589354f6ed560a88dc2c2f3c2e
Akademický článek
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Autor:
Mengesha Z; Department of Linguistics, Stanford University, Stanford, CA, United States.; Google Research, Google, Seattle, WA, United States., Heldreth C; Google Research, Google, Seattle, WA, United States., Lahav M; Google Research, Google, Seattle, WA, United States., Sublewski J; dScout, Chicago, IL, United States., Tuennerman E; dScout, Chicago, IL, United States.
Publikováno v:
Frontiers in artificial intelligence [Front Artif Intell] 2021 Nov 26; Vol. 4, pp. 725911. Date of Electronic Publication: 2021 Nov 26 (Print Publication: 2021).