3 papers
cs.CL2025
CLINIC: Evaluating Multilingual Trustworthiness in Language Models for Healthcare
Akash Ghosh, Srivarshinee Sridhar, Raghav Kaushik Ravi +3
Integrating language models (LMs) in healthcare systems holds great promise for improving medical workflows and decision-making. However, a critical barrier to their real-world ado…
cs.CL2025
Mapping Clinical Doubt: Locating Linguistic Uncertainty in LLMs
Srivarshinee Sridhar, Raghav Kaushik Ravi, Kripabandhu Ghosh
Large Language Models (LLMs) are increasingly used in clinical settings, where sensitivity to linguistic uncertainty can influence diagnostic interpretation and decision-making. Ye…
cs.CL2025
QuickSilver -- Speeding up LLM Inference through Dynamic Token Halting, KV Skipping, Contextual Token Fusion, and Adaptive Matryoshka Quantization
Danush Khanna, Aditya Kumar Guru, Srivarshinee Sridhar +7
Inference accounts for the majority of latency and energy consumption in large language model (LLM) deployments, often exceeding 90% of total cost. While training-time efficiency h…