most citedHow well do LLMs cite relevant medical references? An evaluation framework and analyses

41 citations · 44 across the 5 of their papers we have counts for

collaborators

5 papers

cs.CL2026

Evaluating Commercial AI Chatbots as News Intermediaries

Mirac Suzgun, Emily Shen, Federico Bianchi +5

AI chatbots are rapidly shaping how people encounter the news, yet no prior study has systematically measured how accurately these systems, with their proprietary search integratio…

cs.CY2026

Privacy Without Remedy: An Assessment of Data Broker Compliance with California Privacy Law

Anna-Maria Gueorguieva, Jennifer King, Apoorva Panidapu +1

California's consumer privacy law is widely deemed to be the most protected in the United States, one of the few to expressly regulate third party entities that buy and sell consum…

cs.CL2024★ 3 cited

Belief in the Machine: Investigating Epistemological Blind Spots of Language Models

Mirac Suzgun, Tayfun Gur, Federico Bianchi +4

As language models (LMs) become integral to fields like healthcare, law, and journalism, their ability to differentiate between fact, belief, and knowledge is essential for reliabl…

cs.LG2024

Regulating AI Adaptation: An Analysis of AI Medical Device Updates

Kevin Wu, Eric Wu, Kit Rodolfa +2

While the pace of development of AI has rapidly progressed in recent years, the implementation of safe and effective regulatory frameworks has lagged behind. In particular, the ada…

cs.CL2024★ 41 cited

How well do LLMs cite relevant medical references? An evaluation framework and analyses

Kevin Wu, Eric Wu, Ally Cassasola +7

Large language models (LLMs) are currently being used to answer medical questions across a variety of clinical domains. Recent top-performing commercial LLMs, in particular, are al…