most citedHuman Still Wins over LLM: An Empirical Study of Active Learning on Domain-Specific Annotation Tasks

3 citations · 4 across the 3 of their papers we have counts for

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cs.CL2024★ 1 cited

Multi-Task Learning for Front-End Text Processing in TTS

Wonjune Kang, Yun Wang, Shun Zhang +2

We propose a multi-task learning (MTL) model for jointly performing three tasks that are commonly solved in a text-to-speech (TTS) front-end: text normalization (TN), part-of-speec…

cs.CL2023★ 3 cited

Human Still Wins over LLM: An Empirical Study of Active Learning on Domain-Specific Annotation Tasks

Yuxuan Lu, Bingsheng Yao, Shao Zhang +5

Large Language Models (LLMs) have demonstrated considerable advances, and several claims have been made about their exceeding human performance. However, in real-world tasks, domai…