11 citations · 14 across the 5 of their papers we have counts for
5 papers
Learnable Linguistic Watermarks for Tracing Model Extraction Attacks on Large Language Models
Minhao Bai, Kaiyi Pang, Yongfeng Huang
In the rapidly evolving domain of artificial intelligence, safeguarding the intellectual property of Large Language Models (LLMs) is increasingly crucial. Current watermarking tech…
Specializing Small Language Models towards Complex Style Transfer via Latent Attribute Pre-Training
Ruiqi Xu, Yongfeng Huang, Xin Chen +1
In this work, we introduce the concept of complex text style transfer tasks, and constructed complex text datasets based on two widely applicable scenarios. Our dataset is the firs…
FoodGPT: A Large Language Model in Food Testing Domain with Incremental Pre-training and Knowledge Graph Prompt
Zhixiao Qi, Yijiong Yu, Meiqi Tu +2
Currently, the construction of large language models in specific domains is done by fine-tuning on a base model. Some models also incorporate knowledge bases without the need for p…
CLEVA: Chinese Language Models EVAluation Platform
Yanyang Li, Jianqiao Zhao, Duo Zheng +8
With the continuous emergence of Chinese Large Language Models (LLMs), how to evaluate a model's capabilities has become an increasingly significant issue. The absence of a compreh…
Pixel-Stega: Generative Image Steganography Based on Autoregressive Models
Siyu Zhang, Zhongliang Yang, Haoqin Tu +2
In this letter, we explored generative image steganography based on autoregressive models. We proposed Pixel-Stega, which implements pixel-level information hiding with autoregress…