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William Chandra Tjhi

William Chandra Tjhi has 2 papers in our library, in 2023–2024, most of them on Universal Dependencies, Treebanks, Language models & pretraining; often with Hamsawardhini Rengarajan, Kengatharaiyer Sarveswaran, Wei Qi Leong.

2 papers in our library · 2023–2024

OpenAlex · ORCID · Wikidata · h-index 6 · 26 works · 83 citations OpenAlex, 2026-10-14

📄 2 works in our library · 🔗 Cited 96 times in our library · ⭐ Paper Stars ranking: #8323

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

🏛️AI SingaporeSingapore · Singapore2023–2026 · 14 paperscurrent🎓National University of SingaporeSingapore · Singapore2023–2025 · 4 papers🏛️Agency for Science, Technology and ResearchSingapore · Singapore2011 · 2 papers🔬Institute of High Performance ComputingSingapore · Singapore2011 · 2 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 3Research subjects and languages the work is about.Language models & pretraining · 1 workTreebanks · 1 workUniversal Dependencies · 1 work

 Works by year

2020s

20241 paper20231 paper

 Papers

The most cited first (OpenAlex and our library).

  1. BHASA: A Holistic Southeast Asian Linguistic and Cultural Evaluation Suite for Large Language Models (2023 · 33 citations)
    Most large-scale LLM benchmarks, such as HELM and BIG-bench, focus on English. Southeast Asian (SEA) languages get little systematic evaluation. BHASA addresses this gap with an evaluation suite in three parts:
  2. Aalamaram: A Large-Scale Linguistically Annotated Treebank for the Tamil Language (2024 · 1 citation)
    Tamil still has little high-quality linguistically annotated data. Raw corpora and datasets for NLU and NLG tasks are growing, but there are only two UD treebanks for Tamil: TTB and MWTT. Each contains roughly 600 sentences drawn from a single source, and neither has named entity annotation. The authors built…

 Co-authors here

6 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 96 times (of the 149,439 papers whose bibliographies we read); 21 citing papers with a page here →.

Updated

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