Kung-Hsiang Huang

According to our database, Kung-Hsiang Huang authored at least 31 papers between 2019 and 2025.

Collaborative distances:

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

2025

Benchmarking Deep Search over Heterogeneous Enterprise Data.

Prafulla Kumar Choubey, Xiangyu Peng, Shilpa Bhagavath, Kung-Hsiang Huang, Caiming Xiong, Chien-Sheng Wu

CoRR, June, 2025

LAM SIMULATOR: Advancing Data Generation for Large Action Model Training via Online Exploration and Trajectory Feedback.

Thai Hoang, Kung-Hsiang Huang, Shirley Kokane, Jianguo Zhang, Zuxin Liu, Ming Zhu, Jake Grigsby, Tian Lan, Michael S. Ryoo, Chien-Sheng Wu, Shelby Heinecke, Huan Wang, Silvio Savarese, Caiming Xiong, Juan Carlos Niebles

CoRR, June, 2025

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

Kung-Hsiang Huang, Hou Pong Chan, May Fung, Haoyi Qiu, Mingyang Zhou, Shafiq Joty, Shih-Fu Chang, Heng Ji

IEEE Trans. Knowl. Data Eng., May, 2025

CRMArena-Pro: Holistic Assessment of LLM Agents Across Diverse Business Scenarios and Interactions.

Kung-Hsiang Huang, Akshara Prabhakar, Onkar Thorat, Divyansh Agarwal, Prafulla Kumar Choubey, Yixin Mao, Silvio Savarese, Caiming Xiong, Chien-Sheng Wu

CoRR, May, 2025

Multimodal Cultural Safety: Evaluation Frameworks and Alignment Strategies.

Haoyi Qiu, Kung-Hsiang Huang, Ruichen Zheng, Jiao Sun, Nanyun Peng

CoRR, May, 2025

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

Proceedings of the Findings of the Association for Computational Linguistics: NAACL 2025, Albuquerque, New Mexico, USA, April 29, 2025

CRMArena: Understanding the Capacity of LLM Agents to Perform Professional CRM Tasks in Realistic Environments.

Kung-Hsiang Huang, Akshara Prabhakar, Sidharth Dhawan, Yixin Mao, Huan Wang, Silvio Savarese, Caiming Xiong, Philippe Laban, Chien-Sheng Wu

Proceedings of the 2025 Conference of the Nations of the Americas Chapter of the Association for Computational Linguistics: Human Language Technologies, 2025

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

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

Proceedings of the 31st International Conference on Computational Linguistics, 2025

M²-TabFact: Multi-Document Multi-Modal Fact Verification with Visual and Textual Representations of Tabular Data.

Mingyang Zhou, Lingyu Zhang, Sophia Horng, Maximillian Chen, Kung-Hsiang Huang, Shih-Fu Chang

Proceedings of the Findings of the Association for Computational Linguistics, 2025

Why Vision Language Models Struggle with Visual Arithmetic? Towards Enhanced Chart and Geometry Understanding.

Kung-Hsiang Huang, Can Qin, Haoyi Qiu, Philippe Laban, Shafiq Joty, Caiming Xiong, Chien-Sheng Wu

Proceedings of the Findings of the Association for Computational Linguistics, 2025

LAM SIMULATOR: Advancing Data Generation for Large Action Model Training via Online Exploration and Trajectory Feedback.

Thai Quoc Hoang, Kung-Hsiang Huang, Shirley Kokane, Jianguo Zhang, Zuxin Liu, Ming Zhu, Jake Grigsby, Tian Lan, Michael S. Ryoo, Chien-Sheng Wu, Shelby Heinecke, Huan Wang, Silvio Savarese, Caiming Xiong, Juan Carlos Niebles

Proceedings of the Findings of the Association for Computational Linguistics, 2025

2024

NewsEdits 2.0: Learning the Intentions Behind Updating News.

Alexander Spangher, Kung-Hsiang Huang, Hyundong Cho, Jonathan May

CoRR, 2024

CRMArena: Understanding the Capacity of LLM Agents to Perform Professional CRM Tasks in Realistic Environments.

Kung-Hsiang Huang, Akshara Prabhakar, Sidharth Dhawan, Yixin Mao, Huan Wang, Silvio Savarese, Caiming Xiong, Philippe Laban, 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

SafeWorld: Geo-Diverse Safety Alignment.

Da Yin, Haoyi Qiu, Kung-Hsiang Huang, Kai-Wei Chang, Nanyun Peng

Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2024, 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

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