Showing papers from Penn State Show all papers
Atlanta Poster Session 5, Fri, Dec 11, 10:00 AM–1:00 PM, Hall C1 · Published 2026
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TokenHD trains token-level hallucination detectors via scalable synthetic data and importance weighting, with small models outperforming larger reasoning models and scaling consistently.
Sydney Poster Session 5, Thu, Dec 10, 10:00 AM–1:00 PM, Hall 1-4 · Published 2026
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POME applies truncated SVD to weight-update differences to equalize dominant directions and prune noise, boosting fine-tuned LLM performance by up to 2.5% with no extra cost.
Atlanta Poster Session 2, Wed, Dec 9, 4:30 PM–7:30 PM, Hall C1 · Published 2026 · ▲ 1 on Hugging Face · Code ★ 14
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NoiseCurve uses model curvature from public unlabeled data to improve cross-iteration noise correlation in DP-SGD, significantly boosting accuracy over DP-MF.
Atlanta Poster Session 6, Fri, Dec 11, 4:30 PM–7:30 PM, Hall C1 · Published 2026
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