hateful meme detection

A Context-Aware Contrastive Learning Framework for Hateful Meme Detection and Segmentation NAACL 2025 Evolver: Chain-of-Evolution Prompting to Boost Large Multimodal Models for Hateful Meme Detection COLING 2025 ExMute: A Context-Enriched Multimodal Dataset for Hateful Memes COLING 2025 Hateful Meme Detection through Context-Sensitive Prompting and Fine-Grained Labeling (Student Abstract) AAAI 2025 Meme Trojan: Backdoor Attacks Against Hateful Meme Detection via Cross-Modal Triggers AAAI 2025 Robust Adaptation of Large Multimodal Models for Retrieval Augmented Hateful Meme Detection EMNLP 2025 Causal Intersectionality and Dual Form of Gradient Descent for Multimodal Analysis: A Case Study on Hateful Memes COLING 2024 Deciphering Hate: Identifying Hateful Memes and Their Targets ACL 2024 Improving Hateful Meme Detection through Retrieval-Guided Contrastive Learning ACL 2024 DD-TIG at Constraint@ACL2022: Multimodal Understanding and Reasoning for Role Labeling of Entities in Hateful Memes ACL 2022 MUTE: A Multimodal Dataset for Detecting Hateful Memes AACL 2022 Caption Enriched Samples for Improving Hateful Memes Detection EMNLP 2021 Findings of the WOAH 5 Shared Task on Fine Grained Hateful Memes Detection ACL 2021 Memes in the Wild: Assessing the Generalizability of the Hateful Memes Challenge Dataset ACL 2021 Multimodal or Text? Retrieval or BERT? Benchmarking Classifiers for the Shared Task on Hateful Memes ACL 2021 VL-BERT+: Detecting Protected Groups in Hateful Multimodal Memes ACL 2021