Author

Bi-Cheng Yan

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Jun 2026

LOPA: Enhancing Spoken Language Assessment via Latent Ordinal Prototype Alignment

This paper works around the necessity of large-scale MLLMs by introducing Latent Ordinal Prototype Alignment (LOPA) for SLA, a prototype-based regularizer that enforces an ordinal geometric prior directly on the latent space.

Hong-Yun Lin, Fu-An Chao, Bi-Cheng Yan et al. · arXiv.org · 0 citations