most citedEnabling Language Models to Implicitly Learn Self-Improvement

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cs.CL2024

Distilling Text Style Transfer With Self-Explanation From LLMs

Chiyu Zhang, Honglong Cai, Yuezhang +4

Text Style Transfer (TST) seeks to alter the style of text while retaining its core content. Given the constraints of limited parallel datasets for TST, we propose CoTeX, a framewo…

cs.CL2023★ 1 cited

Enabling Language Models to Implicitly Learn Self-Improvement

Ziqi Wang, Le Hou, Tianjian Lu +4

Large Language Models (LLMs) have demonstrated remarkable capabilities in open-ended text generation tasks. However, the inherent open-ended nature of these tasks implies that ther…