Lucy Li

@lucy3_li

Assistant prof @WisconsinCS. Prev @UCBerkeley, @allen_ai, @MSFTResearch, @stanfordnlp, @uwnlp. More silly at http://lucy3.bsky.social.

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People may still believe false content despite language-model pushback

A paper co-author says models' challenges to faulty inputs are ambiguous and ineffective.

1 Source, 6d ago, first seen 6d ago

A screenshot of the top half of the first page of a paper titled "Pushback in a Haystack: Language Models Respond to Factual Errors Ambiguously and Ineffectively" with authors Li Lucy, Myra Cheng, Svenja Guhr, Kabir Ahuja, Orevaoghene Ahia, Sameep Chattopadhyay, Yike Wang, Valentin Hofmann, Noah A. Smith, Yulia Tsvetkov

X users congratulated Nathan Lambert and Trillium Labs after a launch, praising an open-science approach

Posts on X congratulated Nathan Lambert and Trillium Labs after a launch, with several users describing the effort as open, science-oriented or focused on open post-training. Lambert later said some criticism came from Substack and more general-audience AI followers, not the technical AI community.

50 Sources, 14d ago, updated 14d ago

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People may still believe false content despite language-model pushback

X users congratulated Nathan Lambert and Trillium Labs after a launch, praising an open-science approach

Featured in

People may still believe false content despite language-model pushback

X users congratulated Nathan Lambert and Trillium Labs after a launch, praising an open-science approach