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Effective Proxy for Human Labeling: Ensemble Disagreement Scores in Large Language Models for Industrial NLP
For industry applications, it is imperative to assess the performance of the LLM on unlabeled production data from time to time to validate for a real-world setting.
Compressing Cross-Lingual Multi-Task Models at Qualtrics
Experience management is an emerging business area where organizations focus on understanding the feedback of customers and employees in order to improve their end-to-end experiences.
Improving Hospital Mortality Prediction with Medical Named Entities and Multimodal Learning
Clinical text provides essential information to estimate the acuity of a patient during hospital stays in addition to structured clinical data.
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