The official GitHub page for the survey paper of AIGTD entitled "Survey on Recent Advances in AI-Generated Text Detection" llm ai-generated-text-detection aigtd Updated Oct 27, 2024 ICTMCG / POGER Star 11 Code
AI Generated Text Detection This repository contains the source code and resources for a binary classification project aimed at detecting AI-generated texts. The project is based on the Kaggle competition and utilizes a variety of classical machine learning models as well as a fine-tuned DistilRoBERT...
we now focus on a simple attack against all detection techniques: paraphrasing the generated text. paraphrasing alters the statistical properties of AI-generated text, which can fool outlier detection or classifiers while also reducing the number of watermarked tokens To evade such detectors, a paraphr...
论文链接:SeqXGPT: Sentence-Level AI-Generated Text Detection 代码仓库:Jihuai-wpy/SeqXGPT (github.com) 背景 随着ChatGPT、Claude等大型语言模型的迅速普及,大语言模型(Large Language Model, LLM)被广泛地应用到工作和日常,为人们的生产生活带来了许多便利。与此同时,大语言模型的广泛应用也带来了滥用的风险和...
论文地址：https://github.com/datamllab/The-Science-of-LLM-generated-Text-Detection 相关研究地址：https://github.com/datamllab/awsome-LLM-generated-text-detection/tree/main 现有的方法大致可分为两类：黑盒检测和白盒检测。大型语言模型生成文本检测概述 黑盒检测方法对大型语言模型通常只有 API 级别的...
相关研究地址:https://github.com/datamllab/awsome-LLM-generated-text-detection/tree/main 现有的方法大致可分为两类:黑盒检测和白盒检测。 大型语言模型生成文本检测概述 黑盒检测方法对大型语言模型通常只有API级别的访问权限。因此,这类方法依靠于收集人类和机器的文本样本来训练分类模型; ...
模式识别与多模态学习分论坛预告- 第七届北京高校人工智能学术论坛暨“智汇青年”清华大学人工智能青年论坛-分论坛简介/ INTRODUCTION为促进北京高校学生之间的学术交流与经验分享,集中展示北京高校学生在人工智能领域的科技创新成果,北京高校人工智能联盟定于2025年5月17日...
6、Latent Reconstruction Error Based Method for Diffusion-Generated Image Detection 扩散模型极大提高了图像生成质量,使得真实图像和生成图像之间越来越难以区分。然而,这一发展也引发了重大的隐私和安全问题。针对这一问题,提出一种新的潜变量重构误差引导特征优化方法(Latent REconstruction error guided feature REfineme...
PLE Caching:PLE (Per-Layer Embedding) parameters are generated separately and cached in fast storage, then added during inference, reducing the memory footprint at runtime Selective Parameter Activation:The model can dynamically load only the parameters needed for the current task (e.g., text, im...
To enhance efficiency, the DCT basis matrices can be divided into chunks and pregenerated, which reduces the wall-clock time overhead for both compression and decompression. In practice, this overhead is less than 1% of the total training time. At its core, DisTrO is expressed by the follo...