@lucy3_li
Assistant prof @WisconsinCS. Prev @UCBerkeley, @allen_ai, @MSFTResearch, @stanfordnlp, @uwnlp. More silly at http://lucy3.bsky.social.
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humans& reports a 0.754 TutorMoments score under a plain prompt, versus 0.500 for its GLM-5.3 starting model.
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In an earlier post, @lucy3_li described the research as examining unequal treatment of English varieties in high-stakes settings.
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A paper co-author says models' challenges to faulty inputs are ambiguous and ineffective.
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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.