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Zhuohan Liu

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

3 papers in our library · 2025–2026

OpenAlex · h-index 2 · 13 works · 30 citations OpenAlex, 2026-10-14

📄 3 works in our library · 🔗 Cited 61 times in our library · ⭐ Paper Stars ranking: #7081

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

🔬Institute of Advanced Intelligence and ComputingSingapore · Singapore2026 · 1 papercurrent🏛️Agency for Science, Technology and ResearchSingapore · Singapore2024–2025 · 7 papers🔬Institute for Infocomm ResearchSingapore · Singapore2024–2025 · 7 papers

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 5The 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 · 3 works

🧭 Topics 5Research subjects and languages the work is about.Speech & spoken language · 2 worksEvaluation & benchmarks · 1 workLanguage models & pretraining · 1 workVision & language · 1 workEnglish · 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. MERaLiON-GR: Speech Gender Recognition Model for English and SEA Languages (2026)
    The paper tackles binary speaker gender recognition (female/male) from speech, focusing on English and Southeast Asian languages, where existing tools generalize unevenly.

 Co-authors here

10 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 61 times (of the 149,439 papers whose bibliographies we read); 15 citing papers with a page here →.

Updated

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