7 papers
SamaVaani: Auditing and Debiasing Multilingual Clinical ASR for Indian Languages
Subham Kumar, Prakrithi Shivaprakash, Abhishek Manoharan +7
Automatic Speech Recognition (ASR) is increasingly used to document clinical encounters, yet its reliability in multilingual and demographically diverse Indian healthcare context r…
Benchmarking Motivational Interviewing Competence of Large Language Models
Aishwariya Jha, Prakrithi Shivaprakash, Lekhansh Shukla +3
Motivational interviewing (MI) promotes behavioural change in substance use disorders. Its fidelity is measured using the Motivational Interviewing Treatment Integrity (MITI) frame…
ASR Under the Stethoscope: Evaluating Biases in Clinical Speech Recognition across Indian Languages
Subham Kumar, Prakrithi Shivaprakash, Abhishek Manoharan +6
Automatic Speech Recognition (ASR) is increasingly used to document clinical encounters, yet its reliability in multilingual and demographically diverse Indian healthcare contexts…
Lost without translation -- Can transformer (language models) understand mood states?
Prakrithi Shivaprakash, Diptadhi Mukherjee, Lekhansh Shukla +3
Background: Large Language Models show promise in psychiatry but are English-centric. Their ability to understand mood states in other languages is unclear, as different languages…
Local Obfuscation by GLINER for Impartial Context Aware Lineage: Development and evaluation of PII Removal system
Prakrithi Shivaprakash, Lekhansh Shukla, Animesh Mukherjee +2
Removing Personally Identifiable Information (PII) from clinical notes in Electronic Health Records (EHRs) is essential for research and AI development. While Large Language Models…
Run for Cover: Dominating Set via Mobile Agents
Prabhat Kumar Chand, Anisur Rahaman Molla, Sumathi Sivasubramaniam
Research involving computing with mobile agents is a fast-growing field, given the advancement of technology in automated systems, e.g., robots, drones, self-driving cars, etc. The…
Fault-Tolerant Dispersion of Mobile Robots
Prabhat Kumar Chand, Manish Kumar, Anisur Rahaman Molla +1
We consider the mobile robot dispersion problem in the presence of faulty robots (crash-fault). Mobile robot dispersion consists of robots in an -node anonymous graph.…