Hou Pong Chan

Orcid: 0000-0001-9207-4178

According to our database1, Hou Pong Chan authored at least 35 papers between 2016 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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Bibliography

2024
VisAidMath: Benchmarking Visual-Aided Mathematical Reasoning.
CoRR, 2024

SeaLLMs 3: Open Foundation and Chat Multilingual Large Language Models for Southeast Asian Languages.
CoRR, 2024

Unlocking Varied Perspectives: A Persona-Based Multi-Agent Framework with Debate-Driven Text Planning for Argument Generation.
CoRR, 2024

From Pixels to Insights: A Survey on Automatic Chart Understanding in the Era of Large Foundation Models.
CoRR, 2024

Persona-DB: Efficient Large Language Model Personalization for Response Prediction with Collaborative Data Refinement.
CoRR, 2024

Can LLMs Produce Faithful Explanations For Fact-checking? Towards Faithful Explainable Fact-Checking via Multi-Agent Debate.
CoRR, 2024

AMERICANO: Argument Generation with Discourse-driven Decomposition and Agent Interaction.
Proceedings of the 17th International Natural Language Generation Conference, 2024

Do LVLMs Understand Charts? Analyzing and Correcting Factual Errors in Chart Captioning.
Proceedings of the Findings of the Association for Computational Linguistics, 2024

2023
Controllable Dialogue Generation With Disentangled Multi-Grained Style Specification and Attribute Consistency Reward.
IEEE ACM Trans. Audio Speech Lang. Process., 2023

Meta-review Generation with Checklist-guided Iterative Introspection.
CoRR, 2023

ManiTweet: A New Benchmark for Identifying Manipulation of News on Social Media.
CoRR, 2023

TempoSum: Evaluating the Temporal Generalization of Abstractive Summarization.
CoRR, 2023

PDSum: Prototype-driven Continuous Summarization of Evolving Multi-document Sets Stream.
Proceedings of the ACM Web Conference 2023, 2023

Decoding the Silent Majority: Inducing Belief Augmented Social Graph with Large Language Model for Response Forecasting.
Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, 2023

Can LMs Generalize to Future Data? An Empirical Analysis on Text Summarization.
Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, 2023

Measuring the Effect of Influential Messages on Varying Personas.
Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 2: Short Papers), 2023

Zero-shot Faithful Factual Error Correction.
Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2023

Interpretable Automatic Fine-grained Inconsistency Detection in Text Summarization.
Proceedings of the Findings of the Association for Computational Linguistics: ACL 2023, 2023

Multimedia Generative Script Learning for Task Planning.
Proceedings of the Findings of the Association for Computational Linguistics: ACL 2023, 2023

SumREN: Summarizing Reported Speech about Events in News.
Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

2022
Grounding Commands for Autonomous Vehicles via Layer Fusion with Region-specific Dynamic Layer Attention.
Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2022

MOCHA: A Multi-Task Training Approach for Coherent Text Generation from Cognitive Perspective.
Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, 2022

PLANET: Dynamic Content Planning in Autoregressive Transformers for Long-form Text Generation.
Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2022

2021
Controllable Summarization with Constrained Markov Decision Process.
Trans. Assoc. Comput. Linguistics, 2021

Dialogue summarization with supporting utterance flow modelling and fact regularization.
Knowl. Based Syst., 2021

A condense-then-select strategy for text summarization.
Knowl. Based Syst., 2021

Dialogue Summarization with Supporting Utterance Flow Modeling and Fact Regularization.
CoRR, 2021

2020
A Unified Dual-view Model for Review Summarization and Sentiment Classification with Inconsistency Loss.
Proceedings of the 43rd International ACM SIGIR conference on research and development in Information Retrieval, 2020

Exclusive Hierarchical Decoding for Deep Keyphrase Generation.
Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics, 2020

2019
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, 2019

Topic-Aware Neural Keyphrase Generation for Social Media Language.
Proceedings of the 57th Conference of the Association for Computational Linguistics, 2019

Neural Keyphrase Generation via Reinforcement Learning with Adaptive Rewards.
Proceedings of the 57th Conference of the Association for Computational Linguistics, 2019

2018
Thread Popularity Prediction and Tracking with a Permutation-invariant Model.
Proceedings of the 2018 Conference on Empirical Methods in Natural Language Processing, Brussels, Belgium, October 31, 2018

2017
Leveraging Social Connections to Improve Peer Assessment in MOOCs.
Proceedings of the 26th International Conference on World Wide Web Companion, 2017

2016
Trust-aware Peer Assessment using Multi-armed Bandit Algorithms.
Proceedings of the 25th International Conference on World Wide Web, 2016


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