machine-generated-text

Continuously updated list of related resources for generative LLMs like GPT and their analysis and detection.

Uncertainty-gated two-stage AI-text detection with fast DTD routing and cross-family MS-LRC evidence. Sole-author submission to UncertaiNLP 2026 @ EMNLP.

Self-hostable AI text detector, bring your own model, calibrate on your domain, run locally or on Modal GPU.

MGTEval, an interactive platform for systematic evaluation of ai-generated text detectors, supporting 25+ detectors including DetectGPT, Fast-DetectGPT, Binoculars, and more.

Run CLIP queries against an image

Example dataset and prompt design of Korean Offensive language Machine Generation (K-OMG), published at IJCNLP-AACL 2023.

Code for the publication of LREC'22

📄 SemEval 2024 Task 8: Artificial Intelligence Text Detection System using Natural Language Processing and Neural Network techniques.

L3i++ at SemEval2024-task8: Multidomain, Multimodel and Multilingual Machine-Generated Text Detection

A measuring instrument for text, not an AI detector. Estimates statistical signals of machine-generated language and reports them with measured false-positive rates, broken down by text category. Abstains when the evidence doesn't hold. Never asserts authorship. Runs entirely locally; Spanish calibrated first.

This repository is dedicated to a master class on translating texts into pdf format as part of the checkaihack hackathon

Romanian multidomain human-machine dataset and detection of machine generated text

Repository for hosting the AC-IQuAD dataset: A Dataset of Indonesian Question Answering Automatically Constructed using Wikidata.

A referee for AI-text detectors: measures them (including its own) at the operating points that decide whether someone gets accused, and publishes where they fail.