most citedMeme-ingful Analysis: Enhanced Understanding of Cyberbullying in Memes Through Multimodal Explanations

1 citations · 1 across the 5 of their papers we have counts for

collaborators

5 papers

cs.CL2024

MemeGuard: An LLM and VLM-based Framework for Advancing Content Moderation via Meme Intervention

Prince Jha, Raghav Jain, Konika Mandal +3

In the digital world, memes present a unique challenge for content moderation due to their potential to spread harmful content. Although detection methods have improved, proactive…

cs.CL20241 cited

Meme-ingful Analysis: Enhanced Understanding of Cyberbullying in Memes Through Multimodal Explanations

Prince Jha, Krishanu Maity, Raghav Jain +3

Internet memes have gained significant influence in communicating political, psychological, and sociocultural ideas. While memes are often humorous, there has been a rise in the us…

cs.CL2024

Explain Thyself Bully: Sentiment Aided Cyberbullying Detection with Explanation

Krishanu Maity, Prince Jha, Raghav Jain +2

Cyberbullying has become a big issue with the popularity of different social media networks and online communication apps. While plenty of research is going on to develop better mo…

cs.AI2024

Yes, this is what I was looking for! Towards Multi-modal Medical Consultation Concern Summary Generation

Abhisek Tiwari, Shreyangshu Bera, Sriparna Saha +2

Over the past few years, the use of the Internet for healthcare-related tasks has grown by leaps and bounds, posing a challenge in effectively managing and processing information t…

cs.AI2024

MedSumm: A Multimodal Approach to Summarizing Code-Mixed Hindi-English Clinical Queries

Akash Ghosh, Arkadeep Acharya, Prince Jha +7

In the healthcare domain, summarizing medical questions posed by patients is critical for improving doctor-patient interactions and medical decision-making. Although medical data h…