36 citations · 61 across the 12 of their papers we have counts for
Showing 2022 · cs.CLShow all
2 papers · 2 filters
cs.CL2022★ 3 cited
Understanding BLOOM: An empirical study on diverse NLP tasks
Parag Pravin Dakle, SaiKrishna Rallabandi, Preethi Raghavan
We view the landscape of large language models (LLMs) through the lens of the recently released BLOOM model to understand the performance of BLOOM and other decoder-only LLMs compa…
cs.CL2022
Learning to Ask Like a Physician
Eric Lehman, Vladislav Lialin, Katelyn Y. Legaspi +15
Existing question answering (QA) datasets derived from electronic health records (EHR) are artificially generated and consequently fail to capture realistic physician information n…