Kung-Hsiang Huang

According to our database, Kung-Hsiang Huang authored at least 19 papers between 2019 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Evaluating Cultural and Social Awareness of LLM Web Agents.

Haoyi Qiu, Alexander R. Fabbri, Divyansh Agarwal, Kung-Hsiang Huang, Sarah Tan, Nanyun Peng, Chien-Sheng Wu

CoRR, 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 Ren Fung, Haoyi Qiu, Mingyang Zhou, Shafiq Joty, Shih-Fu Chang, Heng Ji

CoRR, 2024

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

CoRR, 2024

AMRFact: Enhancing Summarization Factuality Evaluation with AMR-Driven Negative Samples Generation.

Haoyi Qiu, Kung-Hsiang Huang, Jingnong Qu, Nanyun Peng

Proceedings of the 2024 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (Volume 1: Long Papers), 2024

Embrace Divergence for Richer Insights: A Multi-document Summarization Benchmark and a Case Study on Summarizing Diverse Information from News Articles.

Kung-Hsiang Huang, Philippe Laban, Alexander R. Fabbri, Prafulla Kumar Choubey, Shafiq Joty, Caiming Xiong, Chien-Sheng Wu

Proceedings of the 2024 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (Volume 1: Long Papers), 2024

Do LVLMs Understand Charts? Analyzing and Correcting Factual Errors in Chart Captioning.

Kung-Hsiang Huang, Mingyang Zhou, Hou Pong Chan, Yi Fung, Zhenhailong Wang, Lingyu Zhang, Shih-Fu Chang, Heng Ji

Proceedings of the Findings of the Association for Computational Linguistics, 2024

2023

AMRFact: Enhancing Summarization Factuality Evaluation with AMR-driven Training Data Generation.

Haoyi Qiu, Kung-Hsiang Huang, Jingnong Qu, Nanyun Peng

CoRR, 2023

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

Kung-Hsiang Huang, Hou Pong Chan, Kathleen R. McKeown, Heng Ji

CoRR, 2023

SWING: Balancing Coverage and Faithfulness for Dialogue Summarization.

Kung-Hsiang Huang, Siffi Singh, Xiaofei Ma, Wei Xiao, Feng Nan, Nicholas Dingwall, William Yang Wang, Kathleen R. McKeown

Proceedings of the Findings of the Association for Computational Linguistics: EACL 2023, 2023

Faking Fake News for Real Fake News Detection: Propaganda-Loaded Training Data Generation.

Kung-Hsiang Huang, Kathleen R. McKeown, Preslav Nakov, Yejin Choi, Heng Ji

Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2023

Zero-shot Faithful Factual Error Correction.

Kung-Hsiang Huang, Hou Pong Chan, Heng Ji

Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2023

2022

Cross-document Misinformation Detection based on Event Graph Reasoning.

Xueqing Wu, Kung-Hsiang Huang, Yi R. Fung, Heng Ji

Proceedings of the 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2022

The Battlefront of Combating Misinformation and Coping with Media Bias.

Yi R. Fung, Kung-Hsiang Huang, Preslav Nakov, Heng Ji

Proceedings of the KDD '22: The 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, Washington, DC, USA, August 14, 2022

CONCRETE: Improving Cross-lingual Fact-checking with Cross-lingual Retrieval.

Kung-Hsiang Huang, ChengXiang Zhai, Heng Ji

Proceedings of the 29th International Conference on Computational Linguistics, 2022

2021

EventPlus: A Temporal Event Understanding Pipeline.

Mingyu Derek Ma, Jiao Sun, Mu Yang, Kung-Hsiang Huang, Nuan Wen, Shikhar Singh, Rujun Han, Nanyun Peng

Proceedings of the 2021 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies: Demonstrations, 2021

Document-level Entity-based Extraction as Template Generation.

Kung-Hsiang Huang, Sam Tang, Nanyun Peng

Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing, 2021

2020

Efficient End-to-end Learning of Cross-event Dependencies for Document-level Event Extraction.

Kung-Hsiang Huang, Nanyun Peng

CoRR, 2020

Biomedical Event Extraction on Graph Edge-conditioned Attention Networks with Hierarchical Knowledge Graphs.

Kung-Hsiang Huang, Mu Yang, Nanyun Peng

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2020, 2020

2019

A-HA: a hybrid approach for hotel recommendation.

Kung-Hsiang Huang, Yi-Fu Fu, Yi-Ting Lee, Tzong-Hann Lee, Yao-Chun Chan, Yi-Hui Lee, Shou-De Lin

Proceedings of the Workshop on ACM Recommender Systems Challenge, 2019