215 citations · 505 across the 26 of their papers we have counts for
5 papers · 1 filter
Automated Evaluation of Multi-Turn Dialogues in In-Car Conversational Assistants
Vaishnav Negi, Lev Sorokin, Soroosh Tayebi Arasteh +1
In-car conversational assistants (ICAs) are increasingly integrated into vehicles to support route planning, vehicle control, and information access. Ensuring their reliability is…
The strength of clinical evidence is recoverable from language model representations but not from their stated grades
Soroosh Tayebi Arasteh
Large language models (LLMs) increasingly summarize clinical evidence, where a claim's weight depends on how strongly it is supported. Yet these models convey confidence poorly, an…
Safety and accuracy diverge across deployment conditions in clinical large language models
Sebastian Wind, Tri-Thien Nguyen, Jeta Sopa +9
Clinical large language models (LLMs) are commonly scaled by increasing model size, context length, retrieval complexity, or inference-time compute, on the assumption that higher a…
Automated grounding verification of AI statements about chest radiographs
Soroosh Tayebi Arasteh, Mehdi Joodaki, Mahshad Lotfinia +4
A grounding verifier checks a statement about a patient's image against the radiology report and the cited evidence. The state-of-the-art methods for testing these verifiers remove…
How Will Your Tweet Be Received? Predicting the Sentiment Polarity of Tweet Replies
Soroosh Tayebi Arasteh, Mehrpad Monajem, Vincent Christlein +5
Twitter sentiment analysis, which often focuses on predicting the polarity of tweets, has attracted increasing attention over the last years, in particular with the rise of deep le…