# org_train = pd.read_csv('/kaggle/input/llm-detect-ai-generated-text/train_essays.csv')train=pd.read_csv(f"{datapath}/train.csv",sep=',')test=test.iloc[:4500]sub=sub.iloc[:4500]train=train.drop_duplicates(subset=['text'])train.reset_index...
赛题名称:LLM - Detect AI Generated Text 赛题链接:https://www.kaggle.com/competitions/llm-detect-ai-generated-text 赛题背景 随着LLM的普及,许多人担心它们会取代或改变通常由人类完成的工作。教育工作者特别关注它们对学生技能发展的影响,尽管许多人仍然乐观地认为LLM最终将成为帮助学生提高写作技巧的有用工具。
But it struggled against media generated from other platforms, like neural.love. For an AI-generated photo of the Eiffel Tower on the moon, it told me there was a 57% chance it was made by a human. 🤔 OpenAI's AI Text Classifier The Microsoft-backed research firm behind the viral ...
Competition Here: https://www.kaggle.com/competitions/llm-detect-ai-generated-text Competition OverviewIn recent years, the development of Large Language Models (LLMs) is becoming matured, making the text they generate increasingly difficult to distinguish from human writing. The competition required ...
This Repo is forKaggle - LLM - Detect AI Generated Text Python Environment 1. Install Packages pip install-r requirements.txt Prepare Data 1. Set Kaggle Api exportKAGGLE_USERNAME="your_kaggle_username"exportKAGGLE_KEY="your_api_key" 2. Download Large Dataset (If you want to train a language...
论文链接: https://arxiv.org/abs/2301.11305 项目主页: https://ericmitchell.ai/detectgpt/ 近日,来自斯坦福大学的研究团队发布了一个名为DetectGPT的检测模型来判断一个文本段落是否是由机器生成的。作者首先观察了LLMs的运行机制,他们发现LLM生成的文本往往占据模型的对数概率函数的负曲率区域。根据这一现象,作者...
1. AI Detectors AI detectors are tools designed to identify whether a particular piece of content has been generated by AI or not. Some of the prominent AI detectors include: GPT-3 Sandbox:Though primarily a platform for developers to experiment with OpenAI’s GPT-3 model, it...
斯坦福大学团队提出AI生成文本检测器DetectGPT,通过文本对数概率的曲率进行可解释判断 大数据文摘授权转载自将门创投 作者:seven_ 随着以ChatGPT等大型语言模型(large language models,LLMs)的爆火,学界和工业界目前已经开始重视这些模型的安全性,由于ChatGPT强大的知识存储和推理能力,其目前可以针对各种各样的用户输入来...
2.最优的单模型来自mistralai/Mistral-7B-v0.1微调,achieving 0.984 on private & 0.966 on public LB.这一点确实让人吃惊 大模型在传统nlu任务上面效果竟然领先deberta这么多! 3.对Ghostbuster论文里面算法进行了复现, we used llama 7b and tiny llama 1.1B. It scored 0.974 on private & 0.957 on public ...
Kaggle LLM - Detect AI Generated Text比赛地址 比赛任务:开发一个机器学习模型,能够判断一篇论文是学生写的,还是LLM生成的。 比赛数据:数据集包含10000篇论文,部分又学生撰写,部分由多种大语言模型(LLM)生成。 代码地址:github 比赛过程: (1)数据清洗:通过拼写纠正 消除来自学生文本的可能拼写错误,并移除重复条目...