Biography
I am a research scientist at the Alibaba DAMO Academy, Singapore R&D Center.
Prior to that, I was a visiting postdoc researcher at the University of Illinois
Urbana-Champaign (UIUC), working with Prof. Heng Ji , and
was a visiting lecturer (Macao Fellow) at the University of Macau.
I received my Ph.D. degree from The Chinese University of Hong Kong in 2020, advised by Prof. Irwin King .
During my Ph.D. studies, I was also a Visiting Ph.D. Student at Northeastern University in Spring 2019, working with Prof. Lu Wang .
My research focuses on improving the trustworthiness of LLMs.
News
[06/2025] We released Lingshu , a Generalist Foundation Model for Unified Multimodal Medical Understanding and Reasoning.
[05/2025] Two papers accepted by ACL 2025.
[11/2024] One paper accepted by TKDE and three papers accepted by COLING 2025.
[08/2024] I gave a talk about SeaLLMs 3 at MLNLP 2024 .
[07/2024] We released SeaLLMs 3 , our latest LLMs for Southeast Asian languages.
[05/2024] One paper accepted by ACL 2024 Findings.
[10/2023] Two papers accepted by EMNLP 2023.
[5/2023] Four papers accepted by ACL 2023 (including Findings).
Preprints
M-Longdoc: A Benchmark For Multimodal Super-Long Document Understanding And A Retrieval-Aware Tuning Framework
Yew Ken Chia, Liying Cheng, Hou Pong Chan , Chaoqun Liu, Maojia Song, Sharifah Mahani Aljunied, Soujanya Poria, Lidong Bing.
[project ]
VisAidMath: Benchmarking Visual-Aided Mathematical Reasoning
Jingkun Ma, Runzhe Zhan, Derek F. Wong, Yang Li, Di Sun, Hou Pong Chan , Lidia S. Chao.
[project ]
Can LLMs Produce Faithful Explanations For Fact-checking? Towards Faithful Explainable Fact-Checking via Multi-Agent Debate
Kyungha Kim*, Sangyun Lee*, Kung-Hsiang Huang*, Hou Pong Chan , Manling Li, Heng Ji.
Publications (* indicates equal contribution) [Google Scholar ]
2025
Analyzing LLMs' Knowledge Boundary Cognition Across Languages Through the Lens of Internal Representations
Chenghao Xiao, Hou Pong Chan , Hao Zhang, Mahani Aljunied, Lidong Bing, Noura Al Moubayed, Yu Rong.
Proceedings of the Annual Meeting of the Association for Computational Linguistics (ACL ), 2025.
[Code ]
FINEREASON: Evaluating and Improving LLMs' Deliberate Reasoning through Reflective Puzzle Solving
Guizhen Chen, Weiwen Xu, Hao Zhang, Hou Pong Chan , Chaoqun Liu, Lidong Bing, Deli Zhao, Anh Tuan Luu, Yu Rong.
Proceedings of the Annual Meeting of the Association for Computational Linguistics (ACL ), 2025.
ManiTweet: A New Benchmark for Identifying Manipulation of News on Social Media
Kung-Hsiang Huang, Hou Pong Chan , Kathleen McKeown, Heng Ji.
Proceedings of International Conference on Computational Linguistics (COLING ), 2025.
Persona-db: Efficient large language model personalization for response prediction with collaborative data refinement
Chenkai Sun, Ke Yang, Revanth Gangi Reddy, Yi R Fung, Hou Pong Chan , Kevin Small, ChengXiang Zhai, Heng Ji.
Proceedings of International Conference on Computational Linguistics (COLING ), 2025.
Debate-to-Write: A Persona-Driven Multi-Agent Framework for Diverse Argument Generation
Zhe Hu, Hou Pong Chan , Jing Li, Yu Yin.
Proceedings of International Conference on Computational Linguistics (COLING ), short paper, 2025.
2024
From Pixels to Insights: A Survey on Automatic Chart Understanding in the Era of Large Foundation Models
Kung-Hsiang Huang, Hou Pong Chan , Yi R. Fung, Haoyi Qiu, Mingyang Zhou, Shafiq Joty, Shih-Fu Chang, Heng Ji.
IEEE Transactions on Knowledge and Data Engineering (TKDE ), 2024.
[project ]
Do LVLMs Understand Charts? Analyzing and Correcting Factual Errors in Chart Captioning
Kung-Hsiang Huang, Mingyang Zhou, Hou Pong Chan , Yi R. Fung, Zhenhailong Wang, Lingyu Zhang, Shih-Fu Chang, Heng Ji.
Findings of the Annual Meeting of the Association for Computational Linguistics (ACL Findings ), 2024.
AMERICANO: Argument Generation with Discourse-driven Decomposition and Agent Interaction
Zhe Hu, Hou Pong Chan , Yu Yin.
Proceedings of the International Natural Language Generation Conference (INLG ), 2024.
2023
Can LMs Generalize to Future Data?
An Empirical Analysis on Text Summarization
Chi Seng Cheang, Hou Pong Chan , Derek F Wong, Xuebo Liu, Zhaocong Li, Yanming Sun, Shudong Liu,
Lidia S Chao
Proceedings of the Conference on Empirical Methods in Natural Language Processing
(EMNLP ), 2023.
Decoding the Silent Majority: Inducing Belief Augmented Social Graph with Large Language Model for
Response Forecasting
Chenkai Sun, Jinning Li, Yi Fung, Hou Pong Chan , Tarek Abdelzaher, ChengXiang Zhai, Heng Ji
Proceedings of the Conference on Empirical Methods in Natural Language Processing
(EMNLP ), 2023.
Zero-shot Faithful Factual Error
Correction
Kung-Hsiang Huang, Hou Pong Chan , Heng Ji
Proceedings of the Annual Meeting of the Association for Computational Linguistics
(ACL ), 2023.
Measuring the Effect of Influential
Messages on Varying Personas
Chenkai Sun, Jinning Li, Hou Pong Chan , ChengXiang Zhai, Heng Ji
Proceedings of the Annual Meeting of the Association for Computational Linguistics
(ACL ), short paper, 2023.
Multimedia Generative Script Learning for
Task Planning
Qingyun Wang, Manling Li, Hou Pong Chan , Lifu Huang, Julia Hockenmaier, Girish Chowdhary, Heng Ji
Findings of the Annual Meeting of the Association for Computational Linguistics (ACL
Findings ), 2023.
Interpretable Automatic Fine-grained
Inconsistency Detection in Text Summarization
Hou Pong Chan , Qi Zeng, Heng Ji.
Findings of the Annual Meeting of the Association for Computational Linguistics (ACL
Findings ), short paper, 2023.
[code ]
PDSum: Prototype-driven Continuous
Summarization of Evolving Multi-document Sets Stream
Susik Yoon, Hou Pong Chan , Jiawei Han.
Proceedings of The Web Conference (WWW ), 2023.
SumREN: Summarizing Reported Speech about
Events in News
Revanth Gangi Reddy, Heba Elfardy, Hou Pong Chan , Kevin Small, Heng Ji.
Proceedings of the AAAI Conference on Artificial Intelligence (AAAI ), 2023.
2022
A Multi-Task Training Approach for Coherent
Text Generation from Cognitive Perspective
Zhe Hu, Hou Pong Chan , Lifu Huang.
Proceedings of the Conference on Empirical Methods in Natural Language Processing
(EMNLP ), short paper, 2022.
PLANET: Dynamic Content Planning in
Autoregressive Transformers for Long-form Text Generation
Zhe Hu, Hou Pong Chan , Jiachen Liu, Xinyan Xiao, Hua Wu, and Lifu Huang.
Proceedings of the Annual Meeting of the Association for Computational Linguistics
(ACL ), 2022.
Controllable Dialogue Generation with
Disentangled Multi-grained Style Specification and Attribute Consistency Reward
Zhe Hu, Zhiwei Cao, Hou Pong Chan , Jiachen Liu, Xinyan Xiao, Jinsong Su, and Hua Wu
IEEE/ACM Transactions on Audio, Speech, and Language Processing (TASLP ),
2022.
Grounding Commands for Autonomous Vehicles
via Layer Fusion with Region-specific Dynamic Layer Attention
Hou Pong Chan* , Mingxi Guo*, and Cheng-Zhong Xu.
Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS ),
2022.
[code ]
2021
Before 2021 (Before my PhD graduation)
A Unified Dual-view Model for Review
Summarization and Sentiment Classification with Inconsistency Loss
Hou Pong Chan *, Wang Chen*, and Irwin King.
Proceedings of the 43th Conference of the Annual International ACM SIGIR
Conference on Research and Development in Information Retrieval (SIGIR ),
2020.
[code ]
Exclusive Hierarchical Decoding for Deep
Keyphrase Generation
Wang Chen, Hou Pong Chan , Piji Li, and Irwin King.
Proceedings of the Annual Meeting of the Association for Computational Linguistics
(ACL ), 2020.
[code ]
Neural Keyphrase Generation via Reinforcement
Learning with Adaptive Rewards
Hou Pong Chan , Wang Chen, Lu Wang, and Irwin King.
Proceedings of the Annual Meeting of the Association for Computational Linguistics
(ACL ), 2019.
[code ]
Topic-Aware Neural Keyphrase
Generation for Social Media Language
Yue Wang, Jing Li, Hou Pong Chan , Irwin King, Michael R. Lyu, and Shuming Shi.
Proceedings of the Annual Meeting of the Association for Computational Linguistics
(ACL ), 2019.
[code ]
An Integrated Approach for Keyphrase
Generation via Exploring the Power of Retrieval and Extraction
Wang Chen, Hou Pong Chan , Piji Li, Lidong Bing, and Irwin King.
Proceedings of the 2019 Conference of the North American Chapter of
the Association for Computational Linguistics (NAACL ), 2019.
[code ]
Thread Popularity Prediction and
Tracking with
a Permutation-invariant Model
Hou Pong Chan and Irwin King.
Proceedings of the 2018 Conference on Empirical Methods in Natural
Language Processing (EMNLP ), 2018.
Leveraging Social Connections to Improve Peer Assessment in MOOCs
Hou Pong Chan and Irwin King.
Proceedings of the 26th International Conference on World Wide Web Companion, Digital Learning
Track (WWW ), 2017.
Trust-aware peer assessment
using multi-armed bandit algorithms
Hou Pong Chan , Tong Zhao, and Irwin King.
Proceedings of the 25th International Conference on World Wide Web. (WWW ), 2016.
Workshop on Web Science and Technology for Education.
Honors & Awards
Outstanding Reviewer, ACL, 2021
Outstanding Reviewer, EMNLP, 2020
The Best Teaching Assistant Award, CSE Department, CUHK, 2018
The Best Teaching Assistant Award, CSE Department, CUHK, 2017
Dean's list, Engineering Faculty, CUHK, 2014
Dean's list, Engineering Faculty, CUHK, 2013
Professional Activities
Senior Area Chair: AACL 2025
Local Co-chair: MT Summit 2023
Session Chair: ICONIP 2020 Tutorial Session
SPC Member: IJCAI 2021
Conference Reviewer: ACL ARR 2023-2025, IROS 2023, AAAI 2023, EMNLP 2022, ACL 2022, AAAI 2022,
EMNLP 2021, ACL 2021, NAACL 2021, AAAI 2021, EMNLP 2020, ACL 2020, AAAI 2020, EMNLP 2019, AAAI 2019
Journal Reviewer: IEEE TKDE, IEEE/ACM TASLP, ACM TALLIP, KBS Journal
Teaching Assistant
2018
Spring
CSCI2100A Data Structures
2017
Fall
CSCI2100 Data Structures
2017
Spring
CSCI3180 Principles of Programming Languages
2016
Spring
CSCI2100A Data Structures
2015
Fall
ENGG2120 Introduction to Digital and Microprocessor Systems