collaborators

5 papers

cs.MA2026

MeDxAgent: Multi-Agent Consultation for Interactive Medical Diagnosis

Akshat Sanghvi, Naren Akash, Raza Imam +2

Large language models (LLMs) are increasingly used for health-related decision support. Yet most evaluations treat diagnosis as a single-shot task with complete information provide…

cs.HC2026

Designing Medical Chatbots where Accuracy and Acceptability are in Conflict: An Exploratory, Vignette-based Study in Urban India

Ananditha Raghunath, William Thies, Mohit Jain

When medical chatbots provide advice that conflicts with users' lived care experiences, users are left to interpret, negotiate, and evaluate the legitimacy of that guidance. In Ind…

cs.HC2026

Designing Culturally Aligned AI Systems For Social Good in Non-Western Contexts

Deepak Varuvel Dennison, Mohit Jain, Tanuja Ganu +1

AI technologies are increasingly deployed in high-stakes domains such as education, healthcare, law, and agriculture to address complex challenges in non-Western contexts. This pap…

cs.CL2025

HEALTH-PARIKSHA: Assessing RAG Models for Health Chatbots in Real-World Multilingual Settings

Varun Gumma, Ananditha Raghunath, Mohit Jain +1

Assessing the capabilities and limitations of large language models (LLMs) has garnered significant interest, yet the evaluation of multiple models in real-world scenarios remains…

cs.HC2025

Trade-offs in Social-Norm Framings for Health Chatbots: Balancing Trust and Preference

Arpita Wadhwa, Aditya Vashistha, Mohit Jain

AI-driven chatbots are increasingly being used to support community health workers (CHWs) in developing regions. Yet little is known about how cultural frameworks in chatbot design…