5 papers
AegisVox: Factorized Privacy and Clinical Preservation for Long-Form Speech
Praphul Singh, Akshat Agarwal, Ratul Ghosh +5
Clinical speech reveals identity through both spoken identifiers and voice, yet its pauses, delivery, and speaker roles can also carry useful clinical evidence. Protecting that spe…
Balancing Safety and Helpfulness in Healthcare AI Assistants through Iterative Preference Alignment
Huy Nghiem, Swetasudha Panda, Devashish Khatwani +3
Large Language Models (LLMs) are increasingly used in healthcare, yet ensuring their safety and trustworthiness remains a barrier to deployment. Conversational medical assistants m…
OpportunityFinder: A Framework for Automated Causal Inference
Huy Nguyen, Prince Grover, Devashish Khatwani
We introduce OpportunityFinder, a code-less framework for performing a variety of causal inference studies with panel data for non-expert users. In its current state, OpportunityFi…
AutoWS: Automated Weak Supervision Framework for Text Classification
Abhinav Bohra, Huy Nguyen, Devashish Khatwani
Creating large, good quality labeled data has become one of the major bottlenecks for developing machine learning applications. Multiple techniques have been developed to either de…
Robust Product Classification with Instance-Dependent Noise
Huy Nguyen, Devashish Khatwani
Noisy labels in large E-commerce product data (i.e., product items are placed into incorrect categories) are a critical issue for product categorization task because they are unavo…