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Found 4 papers, 1 papers with code
MultiPragEval: Multilingual Pragmatic Evaluation of Large Language Models
As the capabilities of Large Language Models (LLMs) expand, it becomes increasingly important to evaluate them beyond basic knowledge assessment, focusing on higher-level language understanding.
Enhancing Clinical Efficiency through LLM: Discharge Note Generation for Cardiac Patients
Medical documentation, including discharge notes, is crucial for ensuring patient care quality, continuity, and effective medical communication.
Pragmatic Competence Evaluation of Large Language Models for Korean
The current evaluation of Large Language Models (LLMs) predominantly relies on benchmarks focusing on their embedded knowledge by testing through multiple-choice questions (MCQs), a format inherently suited for automated evaluation.
German Phoneme Recognition with Text-to-Phoneme Data Augmentation
In this study, we experimented to examine the effect of adding the most frequent n phoneme bigrams to the basic vocabulary on the German phoneme recognition model using the text-to-phoneme data augmentation strategy.
