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Kung-Hsiang Huang

From Pixels to Insights: A Survey on Automatic Chart Understanding in the Era of Large Foundation Models
Can LLMs Produce Faithful Explanations For Fact-checking? Towards Faithful Explainable Fact-Checking via Multi-Agent Debate
Do LVLMs Understand Charts? Analyzing and Correcting Factual Errors in Chart Captioning
Embrace Divergence for Richer Insights: A Multi-document Summarization Benchmark and a Case Study on Summarizing Diverse Information from News Articles
ManiTweet: A New Benchmark for Identifying Manipulation of News on Social Media
Zero-shot Faithful Factual Error Correction
Faking Fake News for Real Fake News Detection: Propaganda-loaded Training Data Generation
SWING: Balancing Coverage and Faithfulness for Dialogue Summarization
Improving Cross-lingual Fact-checking with Cross-lingual Retrieval
The Battlefront of Combating Misinformation and Coping with Media Bias
Cross-document Misinformation Detection based on Event Graph Reasoning
Document-level Entity-based Extraction as Template Generation
EventPlus: A Temporal Event Understanding Pipeline
Efficient End-to-end Learning of Cross-event Dependencies for Document-level Event Extraction
Biomedical Event Extraction with Hierarchical Knowledge Graphs
A-HA: A Hybrid Approach for Hotel Recommendation

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