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20232026
most citedA Survey of Multimodal Sarcasm Detection

14 citations · 31 across the 28 of their papers we have counts for

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5 papers · 1 filter

cs.CL2025

AHaSIS: Shared Task on Sentiment Analysis for Arabic Dialects

Maram Alharbi, Salmane Chafik, Saad Ezzini +3

The hospitality industry in the Arab world increasingly relies on customer feedback to shape services, driving the need for advanced Arabic sentiment analysis tools. To address thi…

cs.AI2025

A Neuro-Symbolic Multi-Agent Approach to Legal-Cybersecurity Knowledge Integration

Chiara Bonfanti, Alessandro Druetto, Cataldo Basile +2

The growing intersection of cybersecurity and law creates a complex information space where traditional legal research tools struggle to deal with nuanced connections between cases…

cs.LG2025

Evaluating Open-Source Vision-Language Models for Multimodal Sarcasm Detection

Saroj Basnet, Shafkat Farabi, Tharindu Ranasinghe +2

Recent advances in open-source vision-language models (VLMs) offer new opportunities for understanding complex and subjective multimodal phenomena such as sarcasm. In this work, we…

cs.IR2025

LLM-based Embedders for Prior Case Retrieval

Damith Premasiri, Tharindu Ranasinghe, Ruslan Mitkov

In common law systems, legal professionals such as lawyers and judges rely on precedents to build their arguments. As the volume of cases has grown massively over time, effectively…

cs.CL2025

A Survey on Multilingual Mental Disorders Detection from Social Media Data

Ana-Maria Bucur, Marcos Zampieri, Tharindu Ranasinghe +1

The increasing prevalence of mental disorders globally highlights the urgent need for effective digital screening methods that can be used in multilingual contexts. Most existing s…