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Wenyu Zhang

Wenyu Zhang has 3 papers in our library, in 2025–2026, most of them on Speech & spoken language, Evaluation & benchmarks, Language models & pretraining; often with AiTi Aw, Bin Wang, Nancy Chen.

3 papers in our library · 2025–2026

OpenAlex · ORCID · h-index 16 · 47 works · 989 citations OpenAlex, 2026-10-14

📄 3 works in our library · 🔗 Cited 105 times in our library · ⭐ Paper Stars ranking: #7059

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

Elsewhere: Google Scholar · Semantic Scholar · dblp · ACL Anthology

 Affiliations

🎓Qingdao UniversityQingdao · China2026 · 1 papercurrent🎓University of Science and Technology BeijingBeijing · China2008–2025 · 18 papers🔬Institute for Infocomm ResearchSingapore · Singapore2024–2025 · 4 papers🏛️Agency for Science, Technology and ResearchSingapore · Singapore2024–2025 · 3 papers🎓Zhejiang Normal UniversityJinhua · China2020–2022 · 3 papers🎓Cornell UniversityIthaca · United States2017–2021 · 3 papers

From the bylines of their papers (OpenAlex, 2026-10-14), ORCID and Wikidata; institutions on papers are matched by machine. 13 more institutions on single bylines are not listed.

 Fields, topics and concepts

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

📚 Shelves 6The field of science this work belongs to (OpenAlex fields).Arts and Humanities · 3 worksComputer Science · 3 worksArtificial Intelligence · 3 worksLanguage and Linguistics · 3 worksSignal Processing · 2 worksLiterature and Literary Theory · 1 work

🧭 Topics 4Research subjects and languages the work is about.Speech & spoken language · 2 worksEvaluation & benchmarks · 2 worksLanguage models & pretraining · 1 workVision & language · 1 work

 Works by year

2020s

20261 paper20252 papers

 Papers

The most cited first (OpenAlex and our library).

  1. AudioBench: A Universal Benchmark for Audio Large Language Models (2025 · 77 citations)
    Audio Large Language Models (AudioLLMs) have been hard to compare because each one is reported on its own set of datasets. For example, Qwen-Audio-Chat and SALMONN share only two of their evaluation sets. AudioBench addresses this with a unified, open-source benchmark built around three abilities:
  2. Advancing Singlish Understanding: Bridging the Gap with Datasets and Multimodal Models (2025 · 7 citations)
    Spoken Singlish, the English-based creole of Singapore, has few resources for anything beyond transcription.
  3. LitVISTA: A Benchmark for Narrative Orchestration in Literary Text (2026 · 1 citation)
    Large language models can produce long stories that hold together causally, yet their plots tend to be flatter than human ones, with simpler arcs and turning points that arrive too early.

 Co-authors here

12 of 14 co-authors with a page, the most papers together first.

Venues

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

 Cited by

Papers of our library cite their works 105 times (of the 149,439 papers whose bibliographies we read); 24 citing papers with a page here →.

Updated

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