2 citations · 2 across the 4 of their papers we have counts for
4 papers
Lessons from the TREC Plain Language Adaptation of Biomedical Abstracts (PLABA) track
Brian Ondov, William Xia, Kush Attal +3
Objective: Recent advances in language models have shown potential to adapt professional-facing biomedical literature to plain language, making it accessible to patients and caregi…
Towards Answering Health-related Questions from Medical Videos: Datasets and Approaches
Deepak Gupta, Kush Attal, Dina Demner-Fushman
The increase in the availability of online videos has transformed the way we access information and knowledge. A growing number of individuals now prefer instructional videos as th…
A Dataset for Plain Language Adaptation of Biomedical Abstracts
Kush Attal, Brian Ondov, Dina Demner-Fushman
Though exponentially growing health-related literature has been made available to a broad audience online, the language of scientific articles can be difficult for the general publ…
A Dataset for Medical Instructional Video Classification and Question Answering
Deepak Gupta, Kush Attal, Dina Demner-Fushman
This paper introduces a new challenge and datasets to foster research toward designing systems that can understand medical videos and provide visual answers to natural language que…