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Chak Tou Leong

Chak Tou Leong has 3 papers in our library, in 2025–2026, most of them on Language models & pretraining, Reasoning, Efficient models & compression; often with Wenjie Li, Heming Xia, Jian Wang.

3 papers in our library · 2025–2026

OpenAlex · h-index 4 · 25 works · 61 citations OpenAlex, 2026-10-14

📄 3 works in our library · 🔗 Cited 100 times in our library · 1 more in our library without a page yet · ⭐ Paper Stars ranking: #6677

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 Polytechnic UniversityHong Kong · China2023–2026 · 23 paperscurrent

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 7The field of science this work belongs to (OpenAlex fields).Computer Science · 3 worksArts and Humanities · 2 worksArtificial Intelligence · 3 worksComputer Vision and Pattern Recognition · 2 worksLanguage and Linguistics · 2 worksControl and Systems Engineering · 1 workEngineering · 1 work

🧭 Topics 3Research subjects and languages the work is about.Efficient models & compression · 1 workLanguage models & pretraining · 1 workReasoning · 1 work

 Works by year

2020s

20262 papers20251 paper

 Papers

The most cited first (OpenAlex and our library).

  1. TokenSkip: Controllable Chain-of-Thought Compression in LLMs (2025 · 106 citations)
    Long chain-of-thought (CoT) outputs help LLMs reason better, but every extra generated token adds decoding time and key-value cache memory.
  2. KNN-SSD: Enabling Dynamic Self-Speculative Decoding via Nearest Neighbor Layer Set Optimization (2026 · 5 citations)
    Self-speculative decoding (Self-SD) speeds up LLM inference by skipping some of the model's own layers to produce draft tokens, which the full model then verifies.
  3. Seeing Isn't Believing: Mitigating Belief Inertia via Active Intervention in Embodied Agents (2026)
    LLM-driven embodied agents often see relevant feedback but then act as if they had not, for example searching for an item already in view.

All works

4 works of theirs in our library, the most cited first; 3 with a page here, the others link their original until we summarise them.

  1. TokenSkip: Controllable Chain-of-Thought Compression in LLMsConference on Empirical Methods in Natural Language Processing (EMNLP)Heming Xia, Chak Tou Leong, Wenjie Wang, et al.2025 · 106 citations
  2. KNN-SSD: Enabling Dynamic Self-Speculative Decoding via Nearest Neighbor Layer Set OptimizationFindings of the Association for Computational LinguisticsMingbo Song, Heming Xia, Jun Zhang, et al.2026 · 5 citations
  3. Seeing Isn't Believing: Mitigating Belief Inertia via Active Intervention in Embodied AgentsFindings of the Association for Computational LinguisticsHanlin Wang, Chak Tou Leong, Jian Wang, et al.2026
  4. Merlin's Whisper: Enabling Efficient Reasoning in Large Language Models via Black-box Persuasive Prompting ↗Proceedings of the 64th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers) · no summary yetHeming Xia et al.2026

 Co-authors here

9 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 100 times (of the 149,439 papers whose bibliographies we read); 37 citing papers with a page here →.

Updated

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