Lucy Li
Researcher with public evidence across Responsible AI, AI research, NLP & language.
- AI signals
- 1 past 30d
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- 1 distinct domains
- Discusiones
- 1 past 30d
- Latest signal
- 6d ago
Articles & links
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.…
- 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.
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...
educational psych x AI jobs.wisc.edu/jobs/assista...
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 🦡🧀
tfw the articles ai retrieves are also ai-generated
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