18 citations · 31 across the 4 of their papers we have counts for
4 papers
Evaluation Cards: An Interpretive Layer for AI Evaluation Reporting
Avijit Ghosh, Anka Reuel, Jenny Chim +45
AI evaluation results are produced at scale but reported inconsistently across leaderboards, model cards, benchmark papers, and company blogs. The cost is interpretive: readers can…
Large Language Models with Retrieval-Augmented Generation for Zero-Shot Disease Phenotyping
Will E. Thompson, David M. Vidmar, Jessica K. De Freitas +9
Identifying disease phenotypes from electronic health records (EHRs) is critical for numerous secondary uses. Manually encoding physician knowledge into rules is particularly chall…
Adapting Sequence to Sequence models for Text Normalization in Social Media
Ismini Lourentzou, Kabir Manghnani, ChengXiang Zhai
Social media offer an abundant source of valuable raw data, however informal writing can quickly become a bottleneck for many natural language processing (NLP) tasks. Off-the-shelf…
METCC: METric learning for Confounder Control Making distance matter in high dimensional biological analysis
Kabir Manghnani, Adam Drake, Nathan Wan +1
High-dimensional data acquired from biological experiments such as next generation sequencing are subject to a number of confounding effects. These effects include both technical e…