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 (RecSys Challenge, 2019)

Biomedical Event Extraction on Graph Edge-conditioned Attention Networks with Hierarchical Knowledge Graphs. - Kung-Hsiang Huang; Mu Yang; Nanyun Peng 001 (EMNLP (Findings), 2020)

Efficient End-to-end Learning of Cross-event Dependencies for Document-level Event Extraction. - Kung-Hsiang Huang; Nanyun Peng 001 (CoRR, 2020)

Document-level Entity-based Extraction as Template Generation. - Kung-Hsiang Huang; Sam Tang; Nanyun Peng 001 (EMNLP (1), 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 001 (NAACL-HLT (Demonstrations), 2021)

CONCRETE: Improving Cross-lingual Fact-checking with Cross-lingual Retrieval. - Kung-Hsiang Huang; ChengXiang Zhai; Heng Ji 001 (COLING, 2022)

The Battlefront of Combating Misinformation and Coping with Media Bias. - Yi R. Fung 001; Kung-Hsiang Huang; Preslav Nakov; Heng Ji 001 (KDD, 2022)

Cross-document Misinformation Detection based on Event Graph Reasoning. - Xueqing Wu 001; Kung-Hsiang Huang; Yi R. Fung 001; Heng Ji 001 (NAACL-HLT, 2022)

Zero-shot Faithful Factual Error Correction. - Kung-Hsiang Huang; Hou Pong Chan; Heng Ji 001 (ACL (1), 2023)

Faking Fake News for Real Fake News Detection: Propaganda-Loaded Training Data Generation. - Kung-Hsiang Huang; Kathleen R. McKeown; Preslav Nakov; Yejin Choi 001; Heng Ji 001 (ACL (1), 2023)

SWING: Balancing Coverage and Faithfulness for Dialogue Summarization. - Kung-Hsiang Huang; Siffi Singh; Xiaofei Ma 001; Wei Xiao 001; Feng Nan; Nicholas Dingwall; William Yang Wang; Kathleen R. McKeown (EACL (Findings), 2023)

AMRFact: Enhancing Summarization Factuality Evaluation with AMR-driven Training Data Generation. - Haoyi Qiu; Kung-Hsiang Huang; Jingnong Qu; Nanyun Peng 001 (CoRR, 2023)

Do LVLMs Understand Charts? Analyzing and Correcting Factual Errors in Chart Captioning. - Kung-Hsiang Huang; Mingyang Zhou; Hou Pong Chan; Yi Fung 001; Zhenhailong Wang; Lingyu Zhang 002; Shih-Fu Chang; Heng Ji 001 (ACL (Findings), 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 (NAACL-HLT, 2024)

AMRFact: Enhancing Summarization Factuality Evaluation with AMR-Driven Negative Samples Generation. - Haoyi Qiu; Kung-Hsiang Huang; Jingnong Qu; Nanyun Peng 001 (NAACL-HLT, 2024)

SafeWorld: Geo-Diverse Safety Alignment. - Da Yin; Haoyi Qiu; Kung-Hsiang Huang; Kai-Wei Chang; Nanyun Peng 001 (NeurIPS, 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 001 (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 001; Haoyi Qiu; Mingyang Zhou; Shafiq Joty; Shih-Fu Chang; Heng Ji 001 (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 014; Silvio Savarese; Caiming Xiong; Philippe Laban; Chien-Sheng Wu (CoRR, 2024)

NewsEdits 2.0: Learning the Intentions Behind Updating News. - Alexander Spangher; Kung-Hsiang Huang; Hyundong Cho; Jonathan May (CoRR, 2024)

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 014; et al. (ACL (Findings), 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 (ACL (Findings), 2025)

M²-TabFact: Multi-Document Multi-Modal Fact Verification with Visual and Textual Representations of Tabular Data. - Mingyang Zhou; Lingyu Zhang 002; Sophia Horng; Maximillian Chen; Kung-Hsiang Huang; Shih-Fu Chang (ACL (Findings), 2025)

ManiTweet: A New Benchmark for Identifying Manipulation of News on Social Media. - Kung-Hsiang Huang; Hou Pong Chan; Kathleen McKeown; Heng Ji 001 (COLING, 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 016; Silvio Savarese; Caiming Xiong; Philippe Laban; Chien-Sheng Wu (NAACL (Long Papers), 2025)

Evaluating Cultural and Social Awareness of LLM Web Agents. - Haoyi Qiu; Alexander R. Fabbri; Divyansh Agarwal; Kung-Hsiang Huang; Sarah Tan; Nanyun Peng 001; Chien-Sheng Wu (NAACL (Findings), 2025)

Multimodal Cultural Safety: Evaluation Frameworks and Alignment Strategies. - Haoyi Qiu; Kung-Hsiang Huang; Ruichen Zheng; Jiao Sun; Nanyun Peng 001 (CoRR, 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, 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 001 (IEEE Trans. Knowl. Data Eng., 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 005; Zuxin Liu; Ming Zhu; Jake Grigsby; Tian Lan 006; Michael S. Ryoo; Chien-Sheng Wu; Shelby Heinecke; Huan Wang 014; et al. (CoRR, 2025)

Benchmarking Deep Search over Heterogeneous Enterprise Data. - Prafulla Kumar Choubey; Xiangyu Peng; Shilpa Bhagavath; Kung-Hsiang Huang; Caiming Xiong; Chien-Sheng Wu (CoRR, 2025)