Search Results for author: Hari Subramonyam

Found 2 papers, 0 papers with code

Why and When LLM-Based Assistants Can Go Wrong: Investigating the Effectiveness of Prompt-Based Interactions for Software Help-Seeking

no code implementations12 Feb 2024 Anjali Khurana, Hari Subramonyam, Parmit K Chilana

Surprisingly, although SoftAIBot outperformed the baseline LLM, our results revealed no significant difference in LLM usage and user perceptions with or without prompt guidelines and the integration of domain context.

Language Modelling Large Language Model +1

Are Generative AI systems Capable of Supporting Information Needs of Patients?

no code implementations31 Jan 2024 Shreya Rajagopal, Subhashis Hazarika, Sookyung Kim, Yan-ming Chiou, Jae Ho Sohn, Hari Subramonyam, Shiwali Mohan

Given the recent advancements in Generative AI models aimed at improving the healthcare system, our work investigates whether and how generative visual question answering systems can responsibly support patient information needs in the context of radiology imaging data.

Computed Tomography (CT) Generative Visual Question Answering +2

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