4 citations · 4 across the 4 of their papers we have counts for
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cs.CL2024
WPN: An Unlearning Method Based on N-pair Contrastive Learning in Language Models
Guitao Chen, Yunshen Wang, Hongye Sun +1
Generative language models (LMs) offer numerous advantages but may produce inappropriate or harmful outputs due to the harmful knowledge acquired during pre-training. This knowledg…
cs.CL2023★ 4 cited
AutoHint: Automatic Prompt Optimization with Hint Generation
Hong Sun, Xue Li, Yinchuan Xu +5
This paper presents AutoHint, a novel framework for automatic prompt engineering and optimization for Large Language Models (LLM). While LLMs have demonstrated remarkable ability i…
cs.CL2020
AutoADR: Automatic Model Design for Ad Relevance
Yiren Chen, Yaming Yang, Hong Sun +7
Large-scale pre-trained models have attracted extensive attention in the research community and shown promising results on various tasks of natural language processing. However, th…