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ORCIDKung-Hsiang Huang
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2020 – today
- 2024
[c13]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- [c12]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: 570-593 - [c11]Haoyi Qiu, Kung-Hsiang Huang, Jingnong Qu, Nanyun Peng:
AMRFact: Enhancing Summarization Factuality Evaluation with AMR-Driven Negative Samples Generation. NAACL-HLT 2024: 594-608 - [i17]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) - [i16]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) - [i15]Haoyi Qiu, Alexander R. Fabbri, Divyansh Agarwal, Kung-Hsiang Huang, Sarah Tan, Nanyun Peng, Chien-Sheng Wu:
Evaluating Cultural and Social Awareness of LLM Web Agents. CoRR abs/2410.23252 (2024) - [i14]Kung-Hsiang Huang, Akshara Prabhakar, Sidharth Dhawan, Yixin Mao, Huan Wang, Silvio Savarese, Caiming Xiong, Philippe Laban, Chien-Sheng Wu:
CRMArena: Understanding the Capacity of LLM Agents to Perform Professional CRM Tasks in Realistic Environments. CoRR abs/2411.02305 (2024) - [i13]Alexander Spangher, Kung-Hsiang Huang, Hyundong Cho, Jonathan May:
NewsEdits 2.0: Learning the Intentions Behind Updating News. CoRR abs/2411.18811 (2024) - 2023
- [c10]Kung-Hsiang Huang, Hou Pong Chan, Heng Ji:
Zero-shot Faithful Factual Error Correction. ACL (1) 2023: 5660-5676 - [c9]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: 14571-14589 - [c8]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: 512-525 - [i12]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 abs/2301.10483 (2023) - [i11]Kung-Hsiang Huang, Hou Pong Chan, Heng Ji:
Zero-shot Faithful Factual Error Correction. CoRR abs/2305.07982 (2023) - [i10]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) - [i9]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 abs/2309.09369 (2023) - [i8]Haoyi Qiu, Kung-Hsiang Huang, Jingnong Qu, Nanyun Peng:
AMRFact: Enhancing Summarization Factuality Evaluation with AMR-driven Training Data Generation. CoRR abs/2311.09521 (2023) - [i7]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
- [c7]Kung-Hsiang Huang, ChengXiang Zhai, Heng Ji:
CONCRETE: Improving Cross-lingual Fact-checking with Cross-lingual Retrieval. COLING 2022: 1024-1035 - [c6]Yi R. Fung, Kung-Hsiang Huang, Preslav Nakov, Heng Ji:
The Battlefront of Combating Misinformation and Coping with Media Bias. KDD 2022: 4790-4791 - [c5]Xueqing Wu, Kung-Hsiang Huang, Yi R. Fung, Heng Ji:
Cross-document Misinformation Detection based on Event Graph Reasoning. NAACL-HLT 2022: 543-558 - [i6]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 abs/2203.05386 (2022) - [i5]Kung-Hsiang Huang, ChengXiang Zhai, Heng Ji:
CONCRETE: Improving Cross-lingual Fact-checking with Cross-lingual Retrieval. CoRR abs/2209.02071 (2022) - 2021
- [c4]Kung-Hsiang Huang, Sam Tang, Nanyun Peng:
Document-level Entity-based Extraction as Template Generation. EMNLP (1) 2021: 5257-5269 - [c3]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: 56-65 - [i4]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 abs/2101.04922 (2021) - [i3]Kung-Hsiang Huang, Sam Tang, Nanyun Peng:
Document-level Entity-based Extraction as Template Generation. CoRR abs/2109.04901 (2021) - 2020
- [c2]Kung-Hsiang Huang, Mu Yang, Nanyun Peng:
Biomedical Event Extraction on Graph Edge-conditioned Attention Networks with Hierarchical Knowledge Graphs. EMNLP (Findings) 2020: 1277-1285 - [i2]Kung-Hsiang Huang, Mu Yang, Nanyun Peng:
Biomedical Event Extraction on Graph Edge-conditioned Attention Networks with Hierarchical Knowledge Graphs. CoRR abs/2009.09335 (2020) - [i1]Kung-Hsiang Huang, Nanyun Peng:
Efficient End-to-end Learning of Cross-event Dependencies for Document-level Event Extraction. CoRR abs/2010.12787 (2020)
2010 – 2019
- 2019
- [c1]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: 4:1-4:5
Coauthor Index
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