2 citations · 4 across the 13 of their papers we have counts for
4 papers · 1 filter
LLM-Guided Lifecycle-Aware Clustering of Multi-Turn Customer Support Conversations
Priyaranjan Pattnayak, Sanchari Chowdhuri, Amit Agarwal +1
Clustering customer chat data is vital for cloud providers handling multi service queries. Traditional methods struggle with overlapping concerns and create broad, static clusters…
FlexDoc: Parameterized Sampling for Diverse Multilingual Synthetic Documents for Training Document Understanding Models
Karan Dua, Hitesh Laxmichand Patel, Puneet Mittal +7
Developing document understanding models at enterprise scale requires large, diverse, and well-annotated datasets spanning a wide range of document types. However, collecting such…
Hybrid AI for Responsive Multi-Turn Online Conversations with Novel Dynamic Routing and Feedback Adaptation
Priyaranjan Pattnayak, Amit Agarwal, Hansa Meghwani +2
Retrieval-Augmented Generation (RAG) systems and large language model (LLM)-powered chatbots have significantly advanced conversational AI by combining generative capabilities with…
Survey of Large Multimodal Model Datasets, Application Categories and Taxonomy
Priyaranjan Pattnayak, Hitesh Laxmichand Patel, Bhargava Kumar +4
Multimodal learning, a rapidly evolving field in artificial intelligence, seeks to construct more versatile and robust systems by integrating and analyzing diverse types of data, i…