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Hou Pong Chan
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2020 – today
- 2024
- [c21]Kung-Hsiang Huang, Mingyang Zhou, Hou Pong Chan, Yi Fung, Zhenhailong Wang, Lingyu Zhang, Shih-Fu Chang, Heng Ji:
Do LVLMs Understand Charts? Analyzing and Correcting Factual Errors in Chart Captioning. ACL (Findings) 2024: 730-749 - [c20]Zhe Hu, Hou Pong Chan, Yu Yin:
AMERICANO: Argument Generation with Discourse-driven Decomposition and Agent Interaction. INLG 2024: 82-102 - [i29]Kyungha Kim, Sangyun Lee, Kung-Hsiang Huang, Hou Pong Chan, Manling Li, Heng Ji:
Can LLMs Produce Faithful Explanations For Fact-checking? Towards Faithful Explainable Fact-Checking via Multi-Agent Debate. CoRR abs/2402.07401 (2024) - [i28]Chenkai Sun, Ke Yang, Revanth Gangi Reddy, Yi R. Fung, Hou Pong Chan, ChengXiang Zhai, Heng Ji:
Persona-DB: Efficient Large Language Model Personalization for Response Prediction with Collaborative Data Refinement. CoRR abs/2402.11060 (2024) - [i27]Kung-Hsiang Huang, Hou Pong Chan, Yi Ren Fung, Haoyi Qiu, Mingyang Zhou, Shafiq Joty, Shih-Fu Chang, Heng Ji:
From Pixels to Insights: A Survey on Automatic Chart Understanding in the Era of Large Foundation Models. CoRR abs/2403.12027 (2024) - [i26]Zhe Hu, Hou Pong Chan, Jing Li, Yu Yin:
Unlocking Varied Perspectives: A Persona-Based Multi-Agent Framework with Debate-Driven Text Planning for Argument Generation. CoRR abs/2406.19643 (2024) - [i25]Wenxuan Zhang, Hou Pong Chan, Yiran Zhao, Mahani Aljunied, Jianyu Wang, Chaoqun Liu, Yue Deng, Zhiqiang Hu, Weiwen Xu, Yew Ken Chia, Xin Li, Lidong Bing:
SeaLLMs 3: Open Foundation and Chat Multilingual Large Language Models for Southeast Asian Languages. CoRR abs/2407.19672 (2024) - 2023
- [j4]Zhe Hu, Zhiwei Cao, Hou Pong Chan, Jiachen Liu, Xinyan Xiao, Jinsong Su, Hua Wu:
Controllable Dialogue Generation With Disentangled Multi-Grained Style Specification and Attribute Consistency Reward. IEEE ACM Trans. Audio Speech Lang. Process. 31: 188-199 (2023) - [c19]Revanth Gangi Reddy, Heba Elfardy, Hou Pong Chan, Kevin Small, Heng Ji:
SumREN: Summarizing Reported Speech about Events in News. AAAI 2023: 12808-12817 - [c18]Chenkai Sun, Jinning Li, Hou Pong Chan, ChengXiang Zhai, Heng Ji:
Measuring the Effect of Influential Messages on Varying Personas. ACL (2) 2023: 554-562 - [c17]Qingyun Wang, Manling Li, Hou Pong Chan, Lifu Huang, Julia Hockenmaier, Girish Chowdhary, Heng Ji:
Multimedia Generative Script Learning for Task Planning. ACL (Findings) 2023: 986-1008 - [c16]Kung-Hsiang Huang, Hou Pong Chan, Heng Ji:
Zero-shot Faithful Factual Error Correction. ACL (1) 2023: 5660-5676 - [c15]Hou Pong Chan, Qi Zeng, Heng Ji:
Interpretable Automatic Fine-grained Inconsistency Detection in Text Summarization. ACL (Findings) 2023: 6433-6444 - [c14]Chenkai Sun, Jinning Li, Yi Ren Fung, Hou Pong Chan, Tarek F. Abdelzaher, ChengXiang Zhai, Heng Ji:
Decoding the Silent Majority: Inducing Belief Augmented Social Graph with Large Language Model for Response Forecasting. EMNLP 2023: 43-57 - [c13]Chi Seng Cheang, Hou Pong Chan, Derek F. Wong, Xuebo Liu, Zhaocong Li, Yanming Sun, Shudong Liu, Lidia S. Chao:
Can LMs Generalize to Future Data? An Empirical Analysis on Text Summarization. EMNLP 2023: 16205-16217 - [c12]Susik Yoon, Hou Pong Chan, Jiawei Han:
PDSum: Prototype-driven Continuous Summarization of Evolving Multi-document Sets Stream. WWW 2023: 1650-1661 - [i24]Susik Yoon, Hou Pong Chan, Jiawei Han:
PDSum: Prototype-driven Continuous Summarization of Evolving Multi-document Sets Stream. CoRR abs/2302.05550 (2023) - [i23]Chi Seng Cheang, Hou Pong Chan, Derek F. Wong, Xuebo Liu, Zhaocong Li, Yanming Sun, Shudong Liu, Lidia S. Chao:
TempoSum: Evaluating the Temporal Generalization of Abstractive Summarization. CoRR abs/2305.01951 (2023) - [i22]Kung-Hsiang Huang, Hou Pong Chan, Heng Ji:
Zero-shot Faithful Factual Error Correction. CoRR abs/2305.07982 (2023) - [i21]Kung-Hsiang Huang, Hou Pong Chan, Kathleen R. McKeown, Heng Ji:
ManiTweet: A New Benchmark for Identifying Manipulation of News on Social Media. CoRR abs/2305.14225 (2023) - [i20]Hou Pong Chan, Qi Zeng, Heng Ji:
Interpretable Automatic Fine-grained Inconsistency Detection in Text Summarization. CoRR abs/2305.14548 (2023) - [i19]Qi Zeng, Mankeerat Sidhu, Hou Pong Chan, Lu Wang, Heng Ji:
Meta-review Generation with Checklist-guided Iterative Introspection. CoRR abs/2305.14647 (2023) - [i18]Chenkai Sun, Jinning Li, Hou Pong Chan, ChengXiang Zhai, Heng Ji:
Measuring the Effect of Influential Messages on Varying Personas. CoRR abs/2305.16470 (2023) - [i17]Chenkai Sun, Jinning Li, Yi R. Fung, Hou Pong Chan, Tarek F. Abdelzaher, ChengXiang Zhai, Heng Ji:
Decoding the Silent Majority: Inducing Belief Augmented Social Graph with Large Language Model for Response Forecasting. CoRR abs/2310.13297 (2023) - [i16]Zhe Hu, Hou Pong Chan, Yu Yin:
AMERICANO: Argument Generation with Discourse-driven Decomposition and Agent Interaction. CoRR abs/2310.20352 (2023) - [i15]Kung-Hsiang Huang, Mingyang Zhou, Hou Pong Chan, Yi R. Fung, Zhenhailong Wang, Lingyu Zhang, Shih-Fu Chang, Heng Ji:
Do LVLMs Understand Charts? Analyzing and Correcting Factual Errors in Chart Captioning. CoRR abs/2312.10160 (2023) - 2022
- [c11]Zhe Hu, Hou Pong Chan, Jiachen Liu, Xinyan Xiao, Hua Wu, Lifu Huang:
PLANET: Dynamic Content Planning in Autoregressive Transformers for Long-form Text Generation. ACL (1) 2022: 2288-2305 - [c10]Zhe Hu, Hou Pong Chan, Lifu Huang:
MOCHA: A Multi-Task Training Approach for Coherent Text Generation from Cognitive Perspective. EMNLP 2022: 10324-10334 - [c9]Hou Pong Chan, Mingxi Guo, Cheng-Zhong Xu:
Grounding Commands for Autonomous Vehicles via Layer Fusion with Region-specific Dynamic Layer Attention. IROS 2022: 12464-12470 - [i14]Hou Pong Chan, Mingxi Guo, Cheng-Zhong Xu:
Grounding Commands for Autonomous Vehicles via Layer Fusion with Region-specific Dynamic Layer Attention. CoRR abs/2203.06822 (2022) - [i13]Zhe Hu, Hou Pong Chan, Jiachen Liu, Xinyan Xiao, Hua Wu, Lifu Huang:
PLANET: Dynamic Content Planning in Autoregressive Transformers for Long-form Text Generation. CoRR abs/2203.09100 (2022) - [i12]Qingyun Wang, Manling Li, Hou Pong Chan, Lifu Huang, Julia Hockenmaier, Girish Chowdhary, Heng Ji:
Multimedia Generative Script Learning for Task Planning. CoRR abs/2208.12306 (2022) - [i11]Zhe Hu, Hou Pong Chan, Lifu Huang:
MOCHA: A Multi-Task Training Approach for Coherent Text Generation from Cognitive Perspective. CoRR abs/2210.14650 (2022) - [i10]Revanth Gangi Reddy, Heba Elfardy, Hou Pong Chan, Kevin Small, Heng Ji:
SumREN: Summarizing Reported Speech about Events in News. CoRR abs/2212.01146 (2022) - 2021
- [j3]Hou Pong Chan, Irwin King:
A condense-then-select strategy for text summarization. Knowl. Based Syst. 227: 107235 (2021) - [j2]Wang Chen, Piji Li, Hou Pong Chan, Irwin King:
Dialogue summarization with supporting utterance flow modelling and fact regularization. Knowl. Based Syst. 229: 107328 (2021) - [j1]Hou Pong Chan, Lu Wang, Irwin King:
Controllable Summarization with Constrained Markov Decision Process. Trans. Assoc. Comput. Linguistics 9: 1213-1232 (2021) - [i9]Hou Pong Chan, Irwin King:
A Condense-then-Select Strategy for Text Summarization. CoRR abs/2106.10468 (2021) - [i8]Wang Chen, Piji Li, Hou Pong Chan, Irwin King:
Dialogue Summarization with Supporting Utterance Flow Modeling and Fact Regularization. CoRR abs/2108.01268 (2021) - [i7]Hou Pong Chan, Lu Wang, Irwin King:
Controllable Summarization with Constrained Markov Decision Process. CoRR abs/2108.03405 (2021) - [i6]Zhe Hu, Zhiwei Cao, Hou Pong Chan, Jiachen Liu, Xinyan Xiao, Jinsong Su, Hua Wu:
Controllable Dialogue Generation with Disentangled Multi-grained Style Specification and Attribute Consistency Reward. CoRR abs/2109.06717 (2021) - 2020
- [c8]Wang Chen, Hou Pong Chan, Piji Li, Irwin King:
Exclusive Hierarchical Decoding for Deep Keyphrase Generation. ACL 2020: 1095-1105 - [c7]Hou Pong Chan, Wang Chen, Irwin King:
A Unified Dual-view Model for Review Summarization and Sentiment Classification with Inconsistency Loss. SIGIR 2020: 1191-1200 - [i5]Wang Chen, Hou Pong Chan, Piji Li, Irwin King:
Exclusive Hierarchical Decoding for Deep Keyphrase Generation. CoRR abs/2004.08511 (2020) - [i4]Hou Pong Chan, Wang Chen, Irwin King:
A Unified Dual-view Model for Review Summarization and Sentiment Classification with Inconsistency Loss. CoRR abs/2006.01592 (2020)
2010 – 2019
- 2019
- [c6]Hou Pong Chan, Wang Chen, Lu Wang, Irwin King:
Neural Keyphrase Generation via Reinforcement Learning with Adaptive Rewards. ACL (1) 2019: 2163-2174 - [c5]Yue Wang, Jing Li, Hou Pong Chan, Irwin King, Michael R. Lyu, Shuming Shi:
Topic-Aware Neural Keyphrase Generation for Social Media Language. ACL (1) 2019: 2516-2526 - [c4]Wang Chen, Hou Pong Chan, Piji Li, Lidong Bing, Irwin King:
An Integrated Approach for Keyphrase Generation via Exploring the Power of Retrieval and Extraction. NAACL-HLT (1) 2019: 2846-2856 - [i3]Wang Chen, Hou Pong Chan, Piji Li, Lidong Bing, Irwin King:
An Integrated Approach for Keyphrase Generation via Exploring the Power of Retrieval and Extraction. CoRR abs/1904.03454 (2019) - [i2]Yue Wang, Jing Li, Hou Pong Chan, Irwin King, Michael R. Lyu, Shuming Shi:
Topic-Aware Neural Keyphrase Generation for Social Media Language. CoRR abs/1906.03889 (2019) - [i1]Hou Pong Chan, Wang Chen, Lu Wang, Irwin King:
Neural Keyphrase Generation via Reinforcement Learning with Adaptive Rewards. CoRR abs/1906.04106 (2019) - 2018
- [c3]Hou Pong Chan, Irwin King:
Thread Popularity Prediction and Tracking with a Permutation-invariant Model. EMNLP 2018: 3392-3401 - 2017
- [c2]Hou Pong Chan, Irwin King:
Leveraging Social Connections to Improve Peer Assessment in MOOCs. WWW (Companion Volume) 2017: 341-349 - 2016
- [c1]Hou Pong Chan, Tong Zhao, Irwin King:
Trust-aware Peer Assessment using Multi-armed Bandit Algorithms. WWW (Companion Volume) 2016: 899-903
Coauthor Index
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last updated on 2024-10-07 21:19 CEST by the dblp team
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