Emergency departments (EDs) operate under time pressure, generating multimodal data such as clinical conversations, triage notes, and discharge documents. Recent advances in natural language processing (NLP), particularly pretrained transformers and large language models, have created new opportunities to support langu...
Dipankar Srirag, Aditya Joshi, Salil S. Kanhere et al.· 1 citation
A methodology is implemented for evaluating large language models on sequential triage, the task of predicting a triage acuity label from a growing prefix of a nurse-patient conversation, which shows that the label at every checkpoint is anchored on the chief complaint exchanges, and prompting interventions fail to lif...
Dipankar Srirag, Hao-Kai Zhao, Ashutosh Kumar et al.· 0 citations
The Last Translation Benchmark is introduced, a collection of human-authored and peer-reviewed examples that break leading machine translation models and a new evaluation approach: each example comes with handcrafted verification rules describing concrete failure cases on that example, therefore allowing reliable and a...
Vilém Zouhar, Niyati Bafna, Mukund Choudhary et al.· 0 citations
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