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Hou Pong Chan

Hou Pong Chan has 7 papers in our library, in 2021–2026, most of them on Language models & pretraining, Reasoning, Summarization; often with Chaoqun Liu, Lidong Bing, Deli Zhao.

7 papers in our library · 2021–2026

OpenAlex · ORCID · Wikidata · h-index 12 · 61 works · 522 citations OpenAlex, 2026-10-14

📄 7 works in our library · 🔗 Cited 219 times in our library · 5 more in our library without a page yet · ⭐ Paper Stars ranking: #6572

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

🎓University of MacauMacao · China2020–2026 · 24 papersEmployment 2020–2023 · Macao Fellow, Department of Computer and Information ScienceEmployment since 2026 · Assistant Professor, Department of Artificial Intelligencecurrent🏢Alibaba DAMO AcademyHangzhou · China2024–2026 · 22 paperscurrent🏢Alibaba GroupHangzhou · China2024–2026 · 16 paperscurrent🏢Alibaba GroupGeorge Town · Cayman Islands2024–2026 · 9 paperscurrent🎓Chinese University of Hong KongHong Kong · China2011–2026 · 9 papersEducation 2011–2014 · Bachelor of Engineering, Information EngineeringEducation 2015–2020 · PhD Student, Computer Science and Engineeringcurrent🎓University of Illinois Urbana-ChampaignUrbana · United States2023–2024 · 5 papers

From the bylines of their papers (OpenAlex, 2026-10-14), ORCID and Wikidata; institutions on papers are matched by machine. 2 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 7The field of science this work belongs to (OpenAlex fields).Arts and Humanities · 7 worksComputer Science · 7 worksArtificial Intelligence · 7 worksLanguage and Linguistics · 7 worksInformation Systems · 2 worksComputer Vision and Pattern Recognition · 2 worksComputational Theory and Mathematics · 1 work

🧭 Topics 7Research subjects and languages the work is about.Language models & pretraining · 3 worksSummarization · 1 workReasoning · 2 worksEvaluation & benchmarks · 1 workInformation retrieval & search · 1 workVision & language · 1 workMultilingual & cross-lingual NLP · 1 work

 Works by year

2020s

20261 paper20255 papers20211 paper

 Papers

The most cited first (OpenAlex and our library).

  1. Controllable Summarization with Constrained Markov Decision Process (2021 · 34 citations)
    Token-based controllable summarizers such as ControlSum let a user request a property of the output, for example a word budget.
  2. Persona-DB: Efficient Large Language Model Personalization for Response Prediction with Collaborative Data Refinement (2025 · 29 citations)
    The paper addresses context efficiency in retrieval-augmented LLM personalization: how to keep predictions of a user's reactions accurate while placing fewer retrieved items into the prompt.
  3. M-LongDoc: A Benchmark For Multimodal Super-Long Document Understanding And A Retrieval-Aware Tuning Framework (2025 · 21 citations)
    Question answering over real-world documents is difficult for large multimodal models. Such documents can run to hundreds of pages and mix text, figures and tables. Earlier benchmarks mostly used documents under 50 pages and short extractive answers.
  4. Debate-to-Write: A Persona-Driven Multi-Agent Framework for Diverse Argument Generation (2025 · 15 citations)
    Large language models tend to write arguments that drift toward one averaged viewpoint. They also generate text token by token without an explicit plan, which limits both the range of perspectives and the logical structure of argumentative essays. The authors address this with a framework that runs entirely through…
  5. Babel: Open Multilingual Large Language Models Serving Over 90% of Global Speakers (2025 · 8 citations)
    Open multilingual LLMs tend to favor languages with abundant web text, such as French or German. Populous but data-poor languages like Hindi, Bengali or Urdu remain underserved. Babel, from Alibaba's DAMO Academy, targets the 25 languages with the most speakers, which together cover roughly 7 billion people.
  6. FineReason: Evaluating and Improving LLMs' Deliberate Reasoning through Reflective Puzzle Solving (2025 · 6 citations)
    Most reasoning benchmarks for LLMs score only the final answer. They do not show whether a model can examine its intermediate steps, notice a dead end, and recover from it. FineReason fills this gap with logic puzzles that break down into small verifiable steps. It covers four puzzle types: Sudoku, Graph Coloring…
  7. VisAidMath: Benchmarking Visual-Aided Mathematical Reasoning (2026 · 5 citations)
    VisAidMath asks whether large multi-modal models (LMMs) can do more than read a diagram. It tests whether they can devise helpful constructions, such as auxiliary lines, and reason from them. The authors built a benchmark of 1,200 math problems from English and Chinese sources. The problems span exam-level to…

All works

12 works of theirs in our library, the most cited first; 7 with a page here, the others link their original until we summarise them.

  1. Neural Keyphrase Generation via Reinforcement Learning with Adaptive Rewards ↗Proceedings of the 57th Annual Meeting of the Association for Computational Linguistics · no summary yetHou Pong Chan et al.2019 · 128 citations
  2. Topic-Aware Neural Keyphrase Generation for Social Media Language ↗Proceedings of the 57th Annual Meeting of the Association for Computational Linguistics · no summary yetYue Wang et al.2019 · 110 citations
  3. Exclusive Hierarchical Decoding for Deep Keyphrase Generation ↗Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics · no summary yetWang Chen et al.2020 · 98 citations
  4. An Integrated Approach for Keyphrase Generation via Exploring the Power of Retrieval and Extraction ↗Proceedings of the 2019 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, Volume 1 (Long and Short Papers) · no summary yetWang Chen et al.2019 · 77 citations
  5. Controllable Summarization with Constrained Markov Decision ProcessTransactions of the Association for Computational Linguistics (TACL)Hou Pong Chan, Lu Wang, Irwin King2021 · 34 citations
  6. Persona-DB: Efficient Large Language Model Personalization for Response Prediction with Collaborative Data RefinementInternational Conference on Computational Linguistics (COLING)Chenkai Sun, Ke Yang, Revanth Gangi Reddy, et al.2025 · 29 citations
  7. M-LongDoc: A Benchmark For Multimodal Super-Long Document Understanding And A Retrieval-Aware Tuning FrameworkConference on Empirical Methods in Natural Language Processing (EMNLP)Yew Ken Chia, Liying Cheng, Hou Pong Chan, et al.2025 · 21 citations
  8. Debate-to-Write: A Persona-Driven Multi-Agent Framework for Diverse Argument GenerationInternational Conference on Computational Linguistics (COLING)Zhe Hu, Hou Pong Chan, Jing Li, et al.2025 · 15 citations
  9. Babel: Open Multilingual Large Language Models Serving Over 90% of Global SpeakersarXiv:2503.00865Yiran Zhao, Chaoqun Liu, Yue Deng, et al.2025 · 8 citations
  10. FineReason: Evaluating and Improving LLMs' Deliberate Reasoning through Reflective Puzzle SolvingAnnual Meeting of the Association for Computational Linguistics (ACL)Guizhen Chen, Weiwen Xu, Hao Zhang, et al.2025 · 6 citations
  11. VisAidMath: Benchmarking Visual-Aided Mathematical ReasoningAnnual Meeting of the Association for Computational Linguistics (ACL)Jingkun Ma, Runzhe Zhan, Yang Li, et al.2026 · 5 citations
  12. Understanding the Behaviors of Environment-aware Information Retrieval ↗Proceedings of the 64th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers) · no summary yetRuifeng Yuan et al.2026

 Co-authors here

12 of 30 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 219 times (of the 149,439 papers whose bibliographies we read); 29 citing papers with a page here →.

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