Showing papers from The University of Chicago Show all papers
Sydney Poster Session 4, Wed, Dec 9, 5:00 PM–8:00 PM, Hall 1-4 · Published 2026
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An empirical Bayes rebiasing method learns the bias distribution to recover shorter calibrated intervals from noisy biased estimates, improving precision in LLM evaluations and genetic analysis.
Sydney Poster Session 4, Wed, Dec 9, 5:00 PM–8:00 PM, Hall 1-4 · Published 2026
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Canopy Entropy reveals fine-tuning reorganizes language model uncertainty into longer, more semantically diverse outputs rather than reducing it. Fine-tuned models show stronger positive correlation between output length and per-token information efficiency, tripling entropy-diversity alignment.
Atlanta Poster Session 1, Wed, Dec 9, 10:00 AM–1:00 PM, Hall C1 · Published 2026
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