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M. Beliaev

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#machine learning Apr 2026

REALM: Reliable Expertise-Aware Language Model Fine-Tuning from Noisy Annotations

REALM is proposed, which jointly learns the model parameters and a scalar expertise value for each annotator, entirely unsupervised and requiring nothing beyond annotator identity, and extends to multiple tasks via a learned expertise matrix.

Sajjad Ghiasvand, M. Beliaev, Mahnoosh Alizadeh et al. · arXiv.org · 0 citations