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Showing papers from Ewha Women's University Show all papers

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A Scalable Nonparametric Continuous-Time Survival Model through Numerical Quadrature

QSurv enables scalable nonparametric continuous-time survival modeling via Gauss-Legendre quadrature and time-conditioned low-rank adaptation, achieving accurate instantaneous hazard estimation across tabular and imaging data.

Chaeyeon Lee, Sehwan Kim, Hyungrok Do

Paris Poster Session 6, Fri, Dec 11, 2:30 PM–4:30 PM, Paris Poster Hall · Published 2026

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AI panel: 11 of 20 reviewers recommend it
lenient 5/5
medium 6/10
strict 0/5
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LUMOS: Tracing Parametric Knowledge from Training Data to Behavioral Outputs in LLMs

LUMOS traces LLM knowledge from verified training exposure to outputs, revealing high encoding but lower expression of rare facts, self-reflection failures on unseen content, and chain-of-thought overconfidence.

Seoyeon Ye, Gayoung Kim, Jiyoung Hong, Soo Kyung Kim and 1 more

Sydney Poster Session 3, Wed, Dec 9, 10:00 AM–1:00 PM, Hall 1-4 · Published 2026

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13/20 AI panelreviewers recommend it

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AI panel: 13 of 20 reviewers recommend it
lenient 4/5
medium 7/10
strict 2/5