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James Tin-Yau Kwok

James Tin-Yau Kwok has 2 papers in our library, in 2023–2026, most of them on Language models & pretraining, Reasoning, Information retrieval & search; often with Jiahao Huo, Shuliang Liu, Xin Zou.

2 papers in our library · 2023–2026

OpenAlex · ORCID · Wikidata · h-index 63 · 353 works · 21,750 citations OpenAlex, 2026-10-14

📄 2 works in our library · 🔗 Cited 697 times in our library · 9 more in our library without a page yet · ⭐ Paper Stars ranking: #3589

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

From the bylines of their papers (OpenAlex, 2026-10-14), ORCID and Wikidata; institutions on papers are matched by machine. 9 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.

 Works by year

2020s

 Papers

The most cited first (OpenAlex and our library).

  1. MetaMath: Bootstrap Your Own Mathematical Questions for Large Language Models (2023 · 565 citations)
    Open-source LLMs such as LLaMA-2 lag well behind closed models on multi-step maths word problems. Fine-tuning helps, but it depends on having enough varied training questions. MetaMath addresses this by growing the GSM8K and MATH training sets from the question side as well as the answer side, producing a dataset…
  2. Sculpting the Vector Space: Towards Efficient Multi-Vector Visual Document Retrieval via Prune-then-Merge Framework (2026 · 2 citations)
    Multi-vector models for Visual Document Retrieval (VDR), such as those in the ColPali family, represent each page as hundreds or thousands of patch embeddings.

All works

11 works of theirs in our library, the most cited first; 2 with a page here, the others link their original until we summarise them.

  1. Generalizing from a Few Examples ↗ACM Computing Surveys · no summary yetYaqing Wang et al.2020 · 2,778 citations
  2. MetaMath: Bootstrap Your Own Mathematical Questions for Large Language ModelsarXiv:2309.12284Longhui Yu, Weisen Jiang, Han Shi, et al.2023 · 565 citations
  3. KICGPT: Large Language Model with Knowledge in Context for Knowledge Graph Completion ↗Findings of the Association for Computational Linguistics: EMNLP 2023 · no summary yetYanbin Wei et al.2023 · 118 citations
  4. Semi-supervised learning using label mean ↗International Conference on Machine Learning · no summary yetYu-Feng Li, James Tin-Yau Kwok, Zhi‐Hua Zhou2009 · 109 citations
  5. PixArt-α: Fast Training of Diffusion Transformer for Photorealistic Text-to-Image Synthesis ↗arXiv:2310.00426 · no summary yetJunsong Chen et al.2023 · 87 citations
  6. A regularization framework for multiple-instance learning ↗International Conference on Machine Learning · no summary yetPak-Ming Cheung, James Tin-Yau Kwok2006 · 81 citations
  7. Efficient Learning of Timeseries Shapelets ↗Proceedings of the AAAI Conference on Artificial Intelligence · no summary yetLu Hou, James Tin-Yau Kwok, Jacek M. Żurada2016 · 75 citations
  8. Time Series Anomaly Detection with Multiresolution Ensemble Decoding ↗Proceedings of the AAAI Conference on Artificial Intelligence · no summary yetLifeng Shen et al.2021 · 56 citations
  9. Forward-Backward Reasoning in Large Language Models for Mathematical Verification ↗Findings of the Association for Computational Linguistics: ACL 2024 · no summary yetWeisen Jiang et al.2024 · 44 citations
  10. Diffusion with Truncated Blocks: Fast and High-Quality Text Generation using Truncated Block Generation ↗Findings of the Association for Computational Linguistics: ACL 2026 · no summary yetYuyan Zhou, Weiyu Chen, James Kwok2026

 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 697 times (of the 149,439 papers whose bibliographies we read); 150 citing papers with a page here →.

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