13 citations · 24 across the 9 of their papers we have counts for
9 papers
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…
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…
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…
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…
CLIPSyntel: CLIP and LLM Synergy for Multimodal Question Summarization in Healthcare
Akash Ghosh, Arkadeep Acharya, Raghav Jain +3
In the era of modern healthcare, swiftly generating medical question summaries is crucial for informed and timely patient care. Despite the increasing complexity and volume of medi…
Large Language Models as Tax Attorneys: A Case Study in Legal Capabilities Emergence
John J. Nay, David Karamardian, Sarah B. Lawsky +6
Better understanding of Large Language Models' (LLMs) legal analysis abilities can contribute to improving the efficiency of legal services, governing artificial intelligence, and…
A Survey on Medical Document Summarization
Raghav Jain, Anubhav Jangra, Sriparna Saha +1
The internet has had a dramatic effect on the healthcare industry, allowing documents to be saved, shared, and managed digitally. This has made it easier to locate and share import…
WIDAR -- Weighted Input Document Augmented ROUGE
Raghav Jain, Vaibhav Mavi, Anubhav Jangra +1
The task of automatic text summarization has gained a lot of traction due to the recent advancements in machine learning techniques. However, evaluating the quality of a generated…
Semantic Extractor-Paraphraser based Abstractive Summarization
Anubhav Jangra, Raghav Jain, Vaibhav Mavi +2
The anthology of spoken languages today is inundated with textual information, necessitating the development of automatic summarization models. In this manuscript, we propose an ex…