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

, , , , , , , and . CoRR, (2024)

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Embrace Divergence for Richer Insights: A Multi-document Summarization Benchmark and a Case Study on Summarizing Diverse Information from News Articles., , , , , , and . CoRR, (2023)Faking Fake News for Real Fake News Detection: Propaganda-loaded Training Data Generation., , , , and . CoRR, (2022)EventPlus: A Temporal Event Understanding Pipeline., , , , , , , and . NAACL-HLT (Demonstrations), page 56-65. Association for Computational Linguistics, (2021)SWING: Balancing Coverage and Faithfulness for Dialogue Summarization., , , , , , , and . EACL (Findings), page 512-525. Association for Computational Linguistics, (2023)Document-level Entity-based Extraction as Template Generation., , and . EMNLP (1), page 5257-5269. Association for Computational Linguistics, (2021)AMRFact: Enhancing Summarization Factuality Evaluation with AMR-driven Training Data Generation., , , and . CoRR, (2023)Do LVLMs Understand Charts? Analyzing and Correcting Factual Errors in Chart Captioning., , , , , , , and . CoRR, (2023)The Battlefront of Combating Misinformation and Coping with Media Bias., , , and . KDD, page 4790-4791. ACM, (2022)From Pixels to Insights: A Survey on Automatic Chart Understanding in the Era of Large Foundation Models., , , , , , , and . CoRR, (2024)Efficient End-to-end Learning of Cross-event Dependencies for Document-level Event Extraction., and . CoRR, (2020)