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Thinh Hung Truong

Thinh Hung Truong has 2 papers in our library, in 2023–2026, most of them on Language models & pretraining, Evaluation & benchmarks; often with Daniel Beck, Jey Han Lau, Karin Verspoor.

2 papers in our library · 2023–2026

OpenAlex · ORCID · h-index 5 · 19 works · 147 citations OpenAlex, 2026-10-14

📄 2 works in our library · 🔗 Cited 67 times in our library · ⭐ Paper Stars ranking: #7169

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

🎓The University of MelbourneMelbourne · Australia2022–2026 · 15 paperscurrent🎓Ho Chi Minh City University of ScienceHo Chi Minh City · Vietnam2018–2019 · 4 papers🎓Vietnam National University Ho Chi Minh CityHo Chi Minh City · Vietnam2018–2019 · 3 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 4The field of science this work belongs to (OpenAlex fields).Artificial Intelligence · 2 worksArts and Humanities · 2 worksComputer Science · 2 worksLanguage and Linguistics · 2 works

🧭 Topics 2Research subjects and languages the work is about.Evaluation & benchmarks · 1 workLanguage models & pretraining · 1 work

 Works by year

2020s

20261 paper20231 paper

 Papers

The most cited first (OpenAlex and our library).

  1. Language models are not naysayers: An analysis of language models on negation benchmarks (2023 · 78 citations)
    Earlier research showed that masked models such as BERT handle negation poorly. This paper asks whether that weakness persists in larger auto-regressive LLMs. The authors assembled six English benchmarks in which negation determines the correct answer and grouped them by the skill each one tests:
  2. FLUKE: A Linguistically-Driven and Task-Agnostic Framework for Robustness Evaluation (2026 · 1 citation)
    Benchmark scores often hide how fragile NLP systems are when the input changes in small, meaning-controlled ways.

 Co-authors here

8 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 67 times (of the 149,439 papers whose bibliographies we read); 17 citing papers with a page here →.

Updated

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