20 citations · 23 across the 3 of their papers we have counts for
3 papers
cs.CL2023★ 20 cited
DNA-GPT: Divergent N-Gram Analysis for Training-Free Detection of GPT-Generated Text
Xianjun Yang, Wei Cheng, Yue Wu +3
Large language models (LLMs) have notably enhanced the fluency and diversity of machine-generated text. However, this progress also presents a significant challenge in detecting th…
cs.CL2023★ 3 cited
Dynamic Prompting: A Unified Framework for Prompt Tuning
Xianjun Yang, Wei Cheng, Xujiang Zhao +3
It has been demonstrated that the art of prompt tuning is highly effective in efficiently extracting knowledge from pretrained foundation models, encompassing pretrained language m…
cs.CL2021
Domain-oriented Language Pre-training with Adaptive Hybrid Masking and Optimal Transport Alignment
Denghui Zhang, Zixuan Yuan, Yanchi Liu +4
Motivated by the success of pre-trained language models such as BERT in a broad range of natural language processing (NLP) tasks, recent research efforts have been made for adaptin…