Kung-Hsiang Huang

Publication Activity (10 Years)

Years Active: 2019-2024
Publications (10 Years): 27

Top Topics

Negative Samples

Event Extraction

Multi Document Summarization

Top Venues

Publications

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 (2024)
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 (2024)
Kung-Hsiang Huang, Philippe Laban, Alexander R. Fabbri, Prafulla Kumar Choubey, Shafiq Joty, Caiming Xiong, Chien-Sheng Wu
Embrace Divergence for Richer Insights: A Multi-document Summarization Benchmark and a Case Study on Summarizing Diverse Information from News Articles. NAACL-HLT (2024)
Haoyi Qiu, Kung-Hsiang Huang, Jingnong Qu, Nanyun Peng
AMRFact: Enhancing Summarization Factuality Evaluation with AMR-Driven Negative Samples Generation. NAACL-HLT (2024)
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)
Kung-Hsiang Huang, Siffi Singh, Xiaofei Ma, Wei Xiao, Feng Nan, Nicholas Dingwall, William Yang Wang, Kathleen R. McKeown
SWING: Balancing Coverage and Faithfulness for Dialogue Summarization. CoRR (2023)
Kung-Hsiang Huang, Philippe Laban, Alexander R. Fabbri, Prafulla Kumar Choubey, Shafiq Joty, Caiming Xiong, Chien-Sheng Wu
Embrace Divergence for Richer Insights: A Multi-document Summarization Benchmark and a Case Study on Summarizing Diverse Information from News Articles. CoRR (2023)
Kung-Hsiang Huang, Hou Pong Chan, Heng Ji
Zero-shot Faithful Factual Error Correction. CoRR (2023)
Kung-Hsiang Huang, Hou Pong Chan, Heng Ji
Zero-shot Faithful Factual Error Correction. ACL (1) (2023)
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 (2023)
Kung-Hsiang Huang, Siffi Singh, Xiaofei Ma, Wei Xiao, Feng Nan, Nicholas Dingwall, William Yang Wang, Kathleen R. McKeown
SWING: Balancing Coverage and Faithfulness for Dialogue Summarization. EACL (Findings) (2023)
Kung-Hsiang Huang, Kathleen R. McKeown, Preslav Nakov, Yejin Choi, Heng Ji
Faking Fake News for Real Fake News Detection: Propaganda-Loaded Training Data Generation. ACL (1) (2023)
Haoyi Qiu, Kung-Hsiang Huang, Jingnong Qu, Nanyun Peng
AMRFact: Enhancing Summarization Factuality Evaluation with AMR-driven Training Data Generation. CoRR (2023)
Kung-Hsiang Huang, Hou Pong Chan, Kathleen R. McKeown, Heng Ji
ManiTweet: A New Benchmark for Identifying Manipulation of News on Social Media. CoRR (2023)
Kung-Hsiang Huang, ChengXiang Zhai, Heng Ji
CONCRETE: Improving Cross-lingual Fact-checking with Cross-lingual Retrieval. CoRR (2022)
Kung-Hsiang Huang, ChengXiang Zhai, Heng Ji
CONCRETE: Improving Cross-lingual Fact-checking with Cross-lingual Retrieval. COLING (2022)
Yi Ren Fung, Kung-Hsiang Huang, Preslav Nakov, Heng Ji
The Battlefront of Combating Misinformation and Coping with Media Bias. KDD (2022)
Kung-Hsiang Huang, Kathleen R. McKeown, Preslav Nakov, Yejin Choi, Heng Ji
Faking Fake News for Real Fake News Detection: Propaganda-loaded Training Data Generation. CoRR (2022)
Xueqing Wu, Kung-Hsiang Huang, Yi Fung, Heng Ji
Cross-document Misinformation Detection based on Event Graph Reasoning. NAACL-HLT (2022)
Kung-Hsiang Huang, Sam Tang, Nanyun Peng
Document-level Entity-based Extraction as Template Generation. EMNLP (1) (2021)
Mingyu Derek Ma, Jiao Sun, Mu Yang, Kung-Hsiang Huang, Nuan Wen, Shikhar Singh, Rujun Han, Nanyun Peng
EventPlus: A Temporal Event Understanding Pipeline. NAACL-HLT (Demonstrations) (2021)
Kung-Hsiang Huang, Sam Tang, Nanyun Peng
Document-level Entity-based Extraction as Template Generation. CoRR (2021)
Mingyu Derek Ma, Jiao Sun, Mu Yang, Kung-Hsiang Huang, Nuan Wen, Shikhar Singh, Rujun Han, Nanyun Peng
EventPlus: A Temporal Event Understanding Pipeline. CoRR (2021)
Kung-Hsiang Huang, Nanyun Peng
Efficient End-to-end Learning of Cross-event Dependencies for Document-level Event Extraction. CoRR (2020)
Kung-Hsiang Huang, Mu Yang, Nanyun Peng
Biomedical Event Extraction on Graph Edge-conditioned Attention Networks with Hierarchical Knowledge Graphs. EMNLP (Findings) (2020)
Kung-Hsiang Huang, Mu Yang, Nanyun Peng
Biomedical Event Extraction on Graph Edge-conditioned Attention Networks with Hierarchical Knowledge Graphs. CoRR (2020)
Kung-Hsiang Huang, Yi-Fu Fu, Yi-Ting Lee, Tzong-Hann Lee, Yao-Chun Chan, Yi-Hui Lee, Shou-De Lin
A-HA: a hybrid approach for hotel recommendation. RecSys Challenge (2019)