6 papers
Human Decision-Making with AI Assistance under Correlated Features
Yanru Guan, Naveen Raman, Fei Fang
Humans increasingly make decisions with AI assistance; for example, doctors may follow AI-recommended diagnostic tests and base their diagnoses on the results. A natural question i…
Healthcare LLM Benchmarks Are Only as Good as Their Explicit Assumptions
Naveen Raman, Santiago Cortes-Gomez, Mateo Dulce Rubio +2
Benchmarks are necessary for healthcare evaluation, but are not sufficient for predicting deployment performance. Our position is that the evaluation--deployment gap arises not bec…
Large Language Models in Peer-Run Community Behavioral Health Services: Understanding Peer Specialists and Service Users' Perspectives on Opportunities, Risks, and Mitigation Strategies
Cindy Peng, Megan Chai, Gao Mo +7
Peer-run organizations (PROs) provide critical, recovery-based behavioral health support rooted in lived experience. As large language models (LLMs) enter this domain, their scale,…
PeerCoPilot: A Language Model-Powered Assistant for Behavioral Health Organizations
Gao Mo, Naveen Raman, Megan Chai +6
Behavioral health conditions, which include mental health and substance use disorders, are the leading disease burden in the United States. Peer-run behavioral health organizations…
RescueLens: LLM-Powered Triage and Action on Volunteer Feedback for Food Rescue
Naveen Raman, Jingwu Tang, Zhiyu Chen +4
Food rescue organizations simultaneously tackle food insecurity and waste by working with volunteers to redistribute food from donors who have excess to recipients who need it. Vol…
Contextual Budget Bandit for Food Rescue Volunteer Engagement
Ariana Tang, Naveen Raman, Fei Fang +1
Volunteer-based food rescue platforms tackle food waste by matching surplus food to communities in need. These platforms face the dual problem of maintaining volunteer engagement a…