Author

Hong-Yun Lin

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Preprint Aug 2026

Balance of Benchmarks: Semantic Density Reweighting for Task-Conditioned Model Comparison

Model comparison increasingly relies on large collections of publicly reported benchmark scores, yet common aggregation strategies trade off evidence coverage against control over capability weighting. Manually curated suites leave potentially informative evaluations unused, while uniform averaging retains them but giv...

Jhen-Ke Lin, Hong-Yun Lin · 0 citations

#natural language process... Jun 2025

Advancing Automated Speaking Assessment Leveraging Multifaceted Relevance and Grammar Information

Experiments and ablation studies demonstrate that these components significantly improve the evaluation of content relevance, language use, and overall ASA performance, highlighting the benefits of using richer, more nuanced feature sets for holistic speaking assessment.

Hao-Chien Lu, Jhen-Ke Lin, Hong-Yun Lin et al. · Slate · 2 citations · ⚡1

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