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MAMA-Memeia! Multi-Aspect Multi-Agent Collaboration for Depressive Symptoms Identification in Memes
Siddhant Agarwal, Adya Dhuler, Polly Ruhnke +3
Over the past years, memes have evolved from being exclusively a medium of humorous exchanges to one that allows users to express a range of emotions freely and easily. With the ev…
Fine-grained Narrative Classification in Biased News Articles
Zeba Afroz, Harsh Vardhan, Pawan Bhakuni +3
Narratives are the cognitive and emotional scaffolds of propaganda. They organize isolated persuasive techniques into coherent stories that justify actions, attribute blame, and ev…
PERCS: Persona-Guided Controllable Biomedical Summarization Dataset
Rohan Charudatt Salvi, Chirag Chawla, Dhruv Jain +3
Automatic medical text simplification plays a key role in improving health literacy by making complex biomedical research accessible to diverse readers. However, most existing reso…
Target-Augmented Shared Fusion-based Multimodal Sarcasm Explanation Generation
Palaash Goel, Dushyant Singh Chauhan, Md Shad Akhtar
Sarcasm is a linguistic phenomenon that intends to ridicule a target (e.g., entity, event, or person) in an inherent way. Multimodal Sarcasm Explanation (MuSE) aims at revealing th…
Incongruence Identification in Eyewitness Testimony
Akshara Nair, Zeba Afroz, Md Shad Akhtar
Incongruence detection in eyewitness narratives is critical for understanding the reliability of testimonies, yet traditional approaches often fail to address the nuanced inconsist…
Figurative-cum-Commonsense Knowledge Infusion for Multimodal Mental Health Meme Classification
Abdullah Mazhar, Zuhair hasan shaik, Aseem Srivastava +5
The expression of mental health symptoms through non-traditional means, such as memes, has gained remarkable attention over the past few years, with users often highlighting their…