Lucy Li

Why they matter

Researcher with public evidence across Responsible AI, AI research, NLP & language.

AI signals
7
past 30d
Sources
5
distinct domains
Discusiones
2
past 30d
Latest signal
14d ago
View every signal from Lucy Li →
Postdoc at UW NLP 🏔️. #NLProc, computational social science, cultural analytics, responsible AI. she/her. Previously at Berkeley, Ai2, MSR, Stanford. Incoming assistant prof at Wisconsin CS. lucy3.github.io

Articles & links

↻ Lucy Li reposted
Sarah T Roberts, PhD @ubiquity75.xyz

“Dr. Poolos knew his patients used chatbots. They often sent him pages of notes, formatted into unmistakable, A.I.-generated bullet points. But he never considered the notion that a chatbot might actively sow doubt in a patient’s mind about his expertise, or intentions.”

nytimes.com View on Bluesky →

Was reading this nytimes article www.nytimes.com/2026/10/25/s... 🫠 I am not a mother, but if I were, I hope I'd be able to come up with three bullet points about what makes my daughter special without needing to use AI

nytimes.com
View on Bluesky · ♥ 5 ↻ 1 ↩ 1 · 11 from the directory shared this · 14d ago

Models are sycophantic, and when they do challenge faulty or incorrect inputs, they're ambiguous and ineffective. In a new paper w/ a multilingual co-author team, we find that people may view LM responses that push back, yet still end up believing false content is true. arxiv.…

Pushback in a Haystack: Language Models Respond to Factual Errors Ambiguously and Ineffectively arxiv.org
AI Weekly's analysis →
  • Across seven LMs, 29.4% of information-seeking responses mixed pushback against a user's false claim with affirmation of it.
  • Fewer than half of pushback responses contained explicit refutation; the rest softened, hedged, or qualified the correction.
  • In a 300-person study, only ~28.6% of German and 28.7% of English readers labeled false statements inaccurate after indirect pushback.
Read full analysis →
View on Bluesky · ♥ 52 ↻ 9 ↩ 1 · 2 from the directory shared this · 27d ago
↻ Lucy Li reposted
Téa Wright @teaywright.bsky.social

working on low-resource language technologies that consider the context of the community and language >>> arxiv.org/abs/2610.25440

Design Considerations in Low-Resource Archival OCR: A Case Study in Lakota arxiv.org
AI Weekly's analysis →
  • Fine-tuning a sub-3B vision-language model on 35 transcribed pages dropped bilingual Lakota archival OCR character error rate from 17.1% to 3.9%.
  • Training on just nine pages added only 1.1 percentage points of CER over the full 35-page run, hinting the data cliff is shallow.
  • Switching from gold to realistic automatic segmentation nearly doubled the CER of the best models, so idealized benchmarks overstate deployed accuracy.
Read full analysis →
View on Bluesky →
↻ Lucy Li reposted
@richardjeanso.bsky.social

Cool postdoc at Princeton on *AI as a cultural technology*, within their Societal AI initiative, perfect for candidates in digital humanities/cultural analytics working on downstream impacts of AI on culture. Get to work with @mmvty.bsky.social and other great people! apply.in…

Apply - Interfolio apply.interfolio.com View on Bluesky →

now that a substantial proportion of my time is spent teachng, i am so grateful for people who make their lecture slides public so mine will be public too! lucy3.github.io/cs769-fall26...

Syllabus lucy3.github.io
View on Bluesky · ♥ 37 ↻ 4 ↩ 1 · 2 from the directory shared this · 60d ago
↻ Lucy Li reposted
@dancohen.org

New issue of my newsletter Humane Ingenuity: “The Breath of the Author” — The palpable presence of someone else’s mind in our best writing should give us pause about the encroachment of AI text newsletter.dancohen.org/archive/the-...

The Breath of the Author newsletter.dancohen.org View on Bluesky →

Recent commentary

Starting off my first lecture later this week as a prof with a little history of NLP! Warren Weaver (known for writing a memorandum that ignited machine translation in 1949, before "artificial intelligence" was even coined as a term) did his BS and PhD at UW-Madison 🦡🧀

View on Bluesky · ♥ 35 ↻ 0 ↩ 2 · 72d ago

tfw the articles ai retrieves are also ai-generated

View on Bluesky · ♥ 2 ↻ 0 ↩ 0 · 154d ago

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