# 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]
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…
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。
'prompt_name', 'label']] train = standardize_categories(train) train_old = pd.read_csv("/kaggle/input/llm-detect-ai-generated-text/train_essays.csv") train_old.rename(columns={'generated': 'label'}, inplace=True) train_old['prompt_...
Can we discernAI-generated texts from Human-generated ones? Past Research & Detectability On one hand, DetectGPT from Stanford compares the probability that a model assigns to the written text to that of a modification of the text, to detect. ...
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...
RADAR: Robust AI-Text Detection via Adversarial Learning OUTFOX: LLM-generated Essay Detection through In-context Learning with Adversarially Generated Examples Red Teaming Language Model Detectors with Language Models Is ChatGPT Involved in Texts? Measure the Polish Ratio to Detect ChatGPT-Generated...
(2023)) have developed zero-shot methods for identifying LLM-generated text by using these models' internal probability distributions. However, many models, like ChatGPT do not release their internal probability distributions to the public. We adapt Mitchell et al. (2023)'s work on DetectGPT, ...
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...
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 ...