2 citations · 5 across the 15 of their papers we have counts for
5 papers · 1 filter
Anthropogenic Regional Adaptation in Multimodal Vision-Language Model
Samuel Cahyawijaya, Peerat Limkonchotiwat, Tack Hwa Wong +45
While the field of vision-language (VL) has achieved remarkable success in integrating visual and textual information across multiple languages and domains, there is still no dedic…
IndicJR: A Judge-Free Benchmark of Jailbreak Robustness in South Asian Languages
Priyaranjan Pattnayak, Sanchari Chowdhuri
Safety alignment of large language models (LLMs) is mostly evaluated in English and contract-bound, leaving multilingual vulnerabilities understudied. We introduce \textbf{Indic Ja…
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…
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…