3 papers
cs.CL2026
IndicSafe: A Benchmark for Evaluating Multilingual LLM Safety in South Asia
Priyaranjan Pattnayak, Sanchari Chowdhuri
As large language models (LLMs) are deployed in multilingual settings, their safety behavior in culturally diverse, low-resource languages remains poorly understood. We present the…
cs.AI2026
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…
cs.AI2026
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…