UQLM provides a suite of response-level scorers for quantifying the uncertainty of Large Language Model (LLM) outputs. Each scorer returns a confidence score between 0 and 1, where higher scores ...
Abstract: Given the scarcity of Code-Switching (CS) datasets, most researchers synthesize CS speech using multiple monolingual datasets. However, this approach presents challenges in synthesizing CS ...
Abstract: The issue of code plagiarism represents a significant challenge in the academic environment. This study examines the potential of large language models (LLMs) in improving the detection of ...
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