1 citations · 2 across the 9 of their papers we have counts for
5 papers · 1 filter
PersuaRL: Reinforcement Learning-Driven Multi-Expert Selection for Persuasive Dialogue Generation in Insurance
Rohan Kirti, Akash Ghosh, Aryan Vats +5
Large Language Models (LLMs) are revolutionizing digital communication by powering conversational agents deployed across domains such as customer service, digital sales, and insura…
BhashaSutra: A Task-Centric Unified Survey of Indian NLP Datasets, Corpora, and Resources
Raghvendra Kumar, Devankar Raj, Sriparna Saha
India's linguistic landscape, spanning 22 scheduled languages and hundreds of marginalized dialects, has driven rapid growth in NLP datasets, benchmarks, and pretrained models. How…
When Meaning Isn't Literal: Exploring Idiomatic Meaning Across Languages and Modalities
Sarmistha Das, Shreyas Guha, Suvrayan Bandyopadhyay +3
Idiomatic reasoning, deeply intertwined with metaphor and culture, remains a blind spot for contemporary language models, whose progress skews toward surface-level lexical and sema…
Two eyes, Two views, and finally, One summary! Towards Multi-modal Multi-tasking Knowledge-Infused Medical Dialogue Summarization
Anisha Saha, Abhisek Tiwari, Sai Ruthvik +1
We often summarize a multi-party conversation in two stages: chunking with homogeneous units and summarizing the chunks. Thus, we hypothesize that there exists a correlation betwee…
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…