---
title: "Yu-Ling Liao — author profile and papers — Elamur Research"
description: "Yu-Ling Liao, National Taiwan University: 2 papers on Elamur Research (2026), h-index 1 — affiliations, topics, co-authors and who cites…"
canonical: "https://research.elamur.ai/free/en/authors/yu-ling-liao/"
---
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# Yu-Ling Liao

Yu-Ling Liao has 2 papers in our library, in 2026, most of them on [Language models & pretraining](https://md.research.elamur.ai/free/en/topics/language-models/), [Speech & spoken language](https://md.research.elamur.ai/free/en/topics/speech/), [Reasoning](https://md.research.elamur.ai/free/en/topics/reasoning/); often with [Hen-Hsen Huang](https://md.research.elamur.ai/free/en/authors/hen-hsen-huang/), [Hsin-Hsi Chen](https://md.research.elamur.ai/free/en/authors/hsin-hsi-chen/), [Sheng-Lun Wei](https://md.research.elamur.ai/free/en/authors/sheng-lun-wei/).

2 papers in our library · 2026

[OpenAlex](https://openalex.org/A5124938591) · [**h-index 1**](https://openalex.org/authors/A5124938591) · [5 works](https://openalex.org/works?filter=author.id:A5124938591) · [1 citations](https://openalex.org/works?filter=author.id:A5124938591&sort=cited_by_count:desc) OpenAlex, 2026-10-14

[📄 2 works in our library](https://md.research.elamur.ai/free/en/authors/yu-ling-liao/#papers) · [⭐ Paper Stars ranking: #13217](https://md.research.elamur.ai/free/en/paper-stars/page/133/#star-13217)

The profile is the library's match of the name; two people with one name are not always told apart.

Elsewhere: [Google Scholar](https://scholar.google.com/citations?view_op=search_authors&mauthors=Yu-Ling+Liao) · [Semantic Scholar](https://www.semanticscholar.org/search?q=Yu-Ling+Liao) · [dblp](https://dblp.org/search?q=Yu-Ling+Liao) · [ACL Anthology](https://aclanthology.org/search/?q=Yu-Ling+Liao)

## Affiliations

[🎓**National Taiwan University** Taipei · Taiwan 2026 · 2 papers*current*](https://md.research.elamur.ai/free/en/universities/national-taiwan-university/)

From the bylines of their papers (OpenAlex, 2026-10-14), ORCID and Wikidata; institutions on papers are matched by machine.

## Fields, topics and concepts

Of its works in our library, with the number of works on each.

📚 Shelves 7 The field of science this work belongs to (OpenAlex fields).[Artificial Intelligence · 2 works](https://md.research.elamur.ai/free/en/shelves/computer-science/artificial-intelligence/) · [Arts and Humanities · 2 works](https://md.research.elamur.ai/free/en/shelves/arts-and-humanities/) · [Computer Science · 2 works](https://md.research.elamur.ai/free/en/shelves/computer-science/) · [Language and Linguistics · 2 works](https://md.research.elamur.ai/free/en/shelves/arts-and-humanities/language-and-linguistics/) · [Safety Research · 1 work](https://md.research.elamur.ai/free/en/shelves/social-sciences/safety-research/) · [Social Sciences · 1 work](https://md.research.elamur.ai/free/en/shelves/social-sciences/) · [Computer Vision and Pattern Recognition · 1 work](https://md.research.elamur.ai/free/en/shelves/computer-science/computer-vision-and-pattern-recognition/)

🧭 Topics 4 Research subjects and languages the work is about.[Language models & pretraining · 2 works](https://md.research.elamur.ai/free/en/topics/language-models/) · [Speech & spoken language · 1 work](https://md.research.elamur.ai/free/en/topics/speech/) · [Reasoning · 1 work](https://md.research.elamur.ai/free/en/topics/reasoning/) · [Vision & language · 1 work](https://md.research.elamur.ai/free/en/topics/multimodal/)

## Works by year

### 2020s

[**2026** 2 papers](https://md.research.elamur.ai/free/en/authors/yu-ling-liao/year/2026/)

## Papers

The most cited first (OpenAlex and our library).

1. **[Bias in the Ear of the Listener: Assessing Sensitivity in Audio Language Models Across Linguistic, Demographic, and Positional Variations](https://md.research.elamur.ai/free/en/papers/wei-2026-bias-ear-listener-assessing-sensitivity/)** *(2026 · 1 citation)* Audio-capable multimodal LLMs now answer spoken questions directly. It was unclear whether their answers change depending on the speaker's gender, the language or accent, or the order of the answer options. The authors built BiasInEar, a spoken multiple-choice benchmark derived from Global MMLU Lite in English…
2. **[Do Multimodal LLMs Understand Order? Measuring the Fragility of Multimodal Reasoning under Input Order Perturbations](https://md.research.elamur.ai/free/en/papers/wei-2026-do-multimodal-llms-understand-order/)** *(2026)* Large vision-language models (LVLMs) do well on multimodal benchmarks, but it is unclear whether their answers stay stable when the same input is arranged differently.

## Co-authors here

3 co-authors with a page, the most papers together first.

- [Hen-Hsen Huang](https://md.research.elamur.ai/free/en/authors/hen-hsen-huang/) ×2
- [Hsin-Hsi Chen](https://md.research.elamur.ai/free/en/authors/hsin-hsi-chen/) ×2
- [Sheng-Lun Wei](https://md.research.elamur.ai/free/en/authors/sheng-lun-wei/) ×2

## Venues

Where their works here were published, the most works first, with the editions of those that have a page.

- [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/): [Findings of the Association for Computational Linguistics 2026](https://md.research.elamur.ai/free/en/venues/findings/2026/)
- [Language Resources and Evaluation Conference (LREC)](https://md.research.elamur.ai/free/en/venues/lrec/): [LREC 2026](https://md.research.elamur.ai/free/en/venues/lrec/2026/)

Updated 1 November 2026
