Papers by Maryam Aziz

1 papers
“What’s Up, Doc?”: Analyzing How Users Seek Health Information in Large-Scale Conversational AI Datasets (2025.findings-emnlp)

Copied to clipboard

Challenge: a growing number of people are seeking healthcare information from large language models via chatbots, yet the nature and inherent risks of these interactions remain unexplored.
Approach: They use a curated dataset of 11K real-world conversations composed of 25K user messages to analyze user interactions across 21 health specialties.
Outcome: The proposed dataset consists of 11K real-world conversations composed of 25K user messages.

What is GenGO?

GenGO is an NLP powered publication search system. It currenctly indexes 30k+ papers from ACL Anthology, and implements multi-aspect summarization, semantic search, and more!

Information

About
Limitations