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A Survey on Multimodal Disinformation Detection.

, , , , , , , , and . COLING, page 6625-6643. International Committee on Computational Linguistics, (2022)

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MUSTIE: Multimodal Structural Transformer for Web Information Extraction., , , , , , , , , and . ACL (1), page 2405-2420. Association for Computational Linguistics, (2023)SemEval-2021 Task 6: Detection of Persuasion Techniques in Texts and Images., , , , , , , and . SemEval@ACL/IJCNLP, page 70-98. Association for Computational Linguistics, (2021)Meta-training with Demonstration Retrieval for Efficient Few-shot Learning., , , , and . ACL (Findings), page 6049-6064. Association for Computational Linguistics, (2023)Detecting Propaganda Techniques in Memes., , , , , , , and . ACL/IJCNLP (1), page 6603-6617. Association for Computational Linguistics, (2021)COFFEE: Counterfactual Fairness for Personalized Text Generation in Explainable Recommendation., , , , , , , and . EMNLP, page 13258-13275. Association for Computational Linguistics, (2023)FRAME: Evaluating Simulatability Metrics for Free-Text Rationales., , , , , , and . CoRR, (2022)Supervised Multimodal Bitransformers for Classifying Images and Text., , , and . ViGIL@NeurIPS, (2019)BARACK: Partially Supervised Group Robustness With Guarantees, , , , , , and . arXiv preprint arXiv:2201.00072, (2021)The Hateful Memes Challenge: Competition Report., , , , , , , , , and 15 other author(s). NeurIPS (Competition and Demos), volume 133 of Proceedings of Machine Learning Research, page 344-360. PMLR, (2020)Detecting and Understanding Harmful Memes: A Survey., , , , , , , , , and . IJCAI, page 5597-5606. ijcai.org, (2022)