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Kwok-Yan Lam

Kwok-Yan Lam has 2 papers in our library, in 2023–2026, most of them on Language models & pretraining, Knowledge graphs & ontologies, Interpretability; often with Aixin Sun, Bing Li, Chen Chen.

2 papers in our library · 2023–2026

OpenAlex · ORCID · Wikidata · h-index 40 · 374 works · 6,988 citations OpenAlex, 2026-10-14

📄 2 works in our library · 🔗 Cited 19 times in our library · ⭐ Paper Stars ranking: #7246

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

🎓Nanyang Technological UniversitySingapore · Singapore2016–2026 · 245 paperscurrent🎓Tsinghua UniversityBeijing · China2003–2012 · 47 papers🎓National University of SingaporeSingapore · Singapore1993–2020 · 38 papers🔬Strategic Centre for Research in Privacy-Preserving Technologies & SystemsSingapore · Singapore2021–2024 · 18 papers🎓Macquarie UniversitySydney · Australia2022–2023 · 2 papers🎓University of LondonLondon · United Kingdom1991–1992 · 2 papers

From the bylines of their papers (OpenAlex, 2026-10-14), ORCID and Wikidata; institutions on papers are matched by machine. 6 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 5The field of science this work belongs to (OpenAlex fields).Artificial Intelligence · 2 worksComputer Science · 2 worksArts and Humanities · 1 workLanguage and Linguistics · 1 workComputer Vision and Pattern Recognition · 1 work

🧭 Topics 4Research subjects and languages the work is about.Language models & pretraining · 2 worksKnowledge graphs & ontologies · 1 workInterpretability · 1 workVision & language · 1 work

 Works by year

2020s

20261 paper20231 paper

 Papers

The most cited first (OpenAlex and our library).

  1. Dipping PLMs Sauce: Bridging Structure and Text for Effective Knowledge Graph Completion via Conditional Soft Prompting (2023 · 75 citations)
    Knowledge Graph Completion (KGC) predicts missing entities in incomplete facts. Purely graph-based embedding models capture structure but ignore text. PLM-based models read entity text, but full fine-tuning makes them over-rely on surface wording. For example, they may mix up Leonardo da Vinci and Leonardo DiCaprio.…
  2. Spectra: A Mechanistic Interpretability Library for Vision-Language Models (2026)
    Tooling for mechanistic interpretability of vision-language models (VLMs) lags behind text-only tooling such as TransformerLens.

 Co-authors here

4 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 19 times (of the 149,439 papers whose bibliographies we read); 3 citing papers with a page here →.

Updated

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