---
title: "Kaiwen Luo — author profile and papers — Elamur Research"
description: "Kaiwen Luo, North China Electric Power University: 2 papers on Elamur Research (2026), h-index 1 — affiliations, topics, co-authors and who…"
canonical: "https://research.elamur.ai/free/en/authors/kaiwen-luo/"
---
[Elamur Research](https://md.research.elamur.ai/free/en/) · [this page in HTML](https://research.elamur.ai/free/en/authors/kaiwen-luo/)

[home](https://md.research.elamur.ai/free/en/) / [authors](https://md.research.elamur.ai/free/en/authors/) / Kaiwen Luo

# Kaiwen Luo

Kaiwen Luo has 2 papers in our library, in 2026, most of them on [Speech & spoken language](https://md.research.elamur.ai/free/en/topics/speech/), [Language models & pretraining](https://md.research.elamur.ai/free/en/topics/language-models/), [Evaluation & benchmarks](https://md.research.elamur.ai/free/en/topics/evaluation-benchmarks/); often with [Jin Wang](https://md.research.elamur.ai/free/en/authors/jin-wang/), [Kun Wang](https://md.research.elamur.ai/free/en/authors/kun-wang/), [Li Sun](https://md.research.elamur.ai/free/en/authors/li-sun/).

2 papers in our library · 2026

[OpenAlex](https://openalex.org/A5123200542) · [**h-index 1**](https://openalex.org/authors/A5123200542) · [11 works](https://openalex.org/works?filter=author.id:A5123200542) · [1 citations](https://openalex.org/works?filter=author.id:A5123200542&sort=cited_by_count:desc) OpenAlex, 2026-10-14

[📄 2 works in our library](https://md.research.elamur.ai/free/en/authors/kaiwen-luo/#papers) · [⭐ Paper Stars ranking: #13699](https://md.research.elamur.ai/free/en/paper-stars/page/137/#star-13699)

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=Kaiwen+Luo) · [Semantic Scholar](https://www.semanticscholar.org/search?q=Kaiwen+Luo) · [dblp](https://dblp.org/search?q=Kaiwen+Luo) · [ACL Anthology](https://aclanthology.org/search/?q=Kaiwen+Luo)

## Affiliations

[🎓**Nanyang Technological University** Singapore · Singapore 2026 · 3 papers*current*](https://md.research.elamur.ai/free/en/universities/nanyang-technological-university/) · [🎓**North China Electric Power University** Beijing · China 2026 · 2 papers*current*](https://md.research.elamur.ai/free/en/universities/north-china-electric-power-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 5 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/) · [Signal Processing · 1 work](https://md.research.elamur.ai/free/en/shelves/computer-science/signal-processing/)

🧭 Topics 3 Research subjects and languages the work is about.[Speech & spoken language · 2 works](https://md.research.elamur.ai/free/en/topics/speech/) · [Evaluation & benchmarks · 1 work](https://md.research.elamur.ai/free/en/topics/evaluation-benchmarks/) · [Language models & pretraining · 1 work](https://md.research.elamur.ai/free/en/topics/language-models/)

## Works by year

### 2020s

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

## Papers

The most cited first (OpenAlex and our library).

1. **[HearSay Benchmark: Do Audio LLMs Leak What They Hear?](https://md.research.elamur.ai/free/en/papers/wang-2026-hearsay-benchmark-do-audio-llms/)** *(2026)* Audio Large Language Models (ALLMs) are trained on huge amounts of speech. The authors ask whether this training lets them work out private facts about a speaker from the voice alone, with no help from what is actually said. To test this, they built HearSay, a benchmark of more than 22,000 real recordings. Most clips…
2. **[RSA-Bench: Benchmarking Audio Large Models in Real-World Acoustic Scenarios](https://md.research.elamur.ai/free/en/papers/zhang-2026-rsa-bench-benchmarking-audio-large/)** *(2026)* Audio Large Models (ALLMs) score well on clean benchmarks, but their behavior in realistic noisy settings has rarely been measured.

## Co-authors here

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

- [Jin Wang](https://md.research.elamur.ai/free/en/authors/jin-wang/) ×2
- [Kun Wang](https://md.research.elamur.ai/free/en/authors/kun-wang/) ×2
- [Li Sun](https://md.research.elamur.ai/free/en/authors/li-sun/) ×2
- [Liang Lin](https://md.research.elamur.ai/free/en/authors/liang-lin/) ×2
- [Yitian Chen](https://md.research.elamur.ai/free/en/authors/yitian-chen/) ×2
- [Zhenhong Zhou](https://md.research.elamur.ai/free/en/authors/zhenhong-zhou/) ×2
- [Qingsong Wen](https://md.research.elamur.ai/free/en/authors/qingsong-wen/)
- [Shilinlu Yan](https://md.research.elamur.ai/free/en/authors/shilinlu-yan/)
- [Xuehai Tang](https://md.research.elamur.ai/free/en/authors/xuehai-tang/)
- [Yibo Zhang](https://md.research.elamur.ai/free/en/authors/yibo-zhang/)

## 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/) ×2: [Findings of the Association for Computational Linguistics 2026](https://md.research.elamur.ai/free/en/venues/findings/2026/) ×2

Updated 2 November 2026
