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Mooho Song

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#machine learning Preprint Jun 2024

LaSEr-Edit: Localized Span-level Error Editing with Energy-based Localization

LaSEr-Edit is proposed, a constraint-satisfying text revision method that can be applied to any LLMs, black- or white-box, and it is found that lightweight, task-specific energy-based models (EBMs) achieve error-localization performance competitive with or even better than that of much larger LLMs, while operating subs...

H. Son, Saehee Eom, Mooho Song et al. · 3 citations
Preprint Jul 2026

Retrieving a Set, Not Independent Passages: Set-Level Compatibility Learning for Efficient Set Exploration

Experiments show that set-level compatibility learning improves retrieval performance and downstream QA task performance, and that the proposed set-level retrievers not only outperform document-level retrievers, but also exhibit complementary retrieval characteristics: combining their outputs yields stronger performanc...

Mooho Song, Jay-Yoon Lee · 0 citations

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