60 citations · 87 across the 10 of their papers we have counts for
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cs.CL2023
Improving the Generation Quality of Watermarked Large Language Models via Word Importance Scoring
Yuhang Li, Yihan Wang, Zhouxing Shi +1
The strong general capabilities of Large Language Models (LLMs) bring potential ethical risks if they are unrestrictedly accessible to malicious users. Token-level watermarking ins…
cs.CL2023★ 3 cited
Red Teaming Language Model Detectors with Language Models
Zhouxing Shi, Yihan Wang, Fan Yin +3
The prevalence and strong capability of large language models (LLMs) present significant safety and ethical risks if exploited by malicious users. To prevent the potentially decept…
cs.LG2023★ 1 cited
Universality and Limitations of Prompt Tuning
Yihan Wang, Jatin Chauhan, Wei Wang +1
Despite the demonstrated empirical efficacy of prompt tuning to adapt a pretrained language model for a new task, the theoretical underpinnings of the difference between "tuning pa…