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Willy Chung

Willy Chung has 2 papers in our library, in 2023, most of them on Multilingual & cross-lingual NLP, Language models & pretraining, Low-resource languages; often with Holy Lovenia, Samuel Cahyawijaya, Tiezheng Yu.

2 papers in our library · 2023

OpenAlex · ORCID · h-index 4 · 21 works · 1,036 citations OpenAlex, 2026-10-14

📄 2 works in our library · 🔗 Cited 564 times in our library · ⭐ Paper Stars ranking: #2652

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

🎓Hong Kong University of Science and TechnologyHong Kong · China2022–2023 · 9 papers

From the bylines of their papers (OpenAlex, 2026-10-14), ORCID and Wikidata; institutions on papers are matched by machine. 1 more institution on single bylines are not listed.

 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 · 2 worksComputer Science · 2 worksArtificial Intelligence · 2 worksLanguage and Linguistics · 2 worksComputer Vision and Pattern Recognition · 1 work

🧭 Topics 6Research subjects and languages the work is about.Multilingual & cross-lingual NLP · 2 worksEvaluation & benchmarks · 1 workReasoning · 1 workVision & language · 1 workLanguage models & pretraining · 1 workLow-resource languages · 1 work

 Works by year

2020s

20232 papers

 Papers

The most cited first (OpenAlex and our library).

  1. A Multitask, Multilingual, Multimodal Evaluation of ChatGPT on Reasoning, Hallucination, and Interactivity (2023 · 882 citations)
    When ChatGPT appeared, its abilities were known mostly from anecdotes, and OpenAI had released no benchmark numbers.
  2. InstructAlign: High-and-Low Resource Language Alignment via Continual Crosslingual Instruction Tuning (2023 · 22 citations)
    Instruction-tuned LLMs such as BLOOMZ cover only a small set of languages. Adapting them to new low-resource languages with standard methods, such as continual MLM pretraining or adapters, tends to cause catastrophic forgetting, so the models lose their zero-shot multitask ability. The authors propose InstructAlign…

 Co-authors here

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

 Cited by

Papers of our library cite their works 564 times (of the 149,439 papers whose bibliographies we read); 138 citing papers with a page here →.

Updated

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