Catching Unicorns with GLTR
Spot AI-generated text at a glance with GLTR’s color-coded statistical forensics.
Free
Categories: Bias Detection
4.1 (18 ratings)
About
GLTR (Giant Language model Test Room) is a visually forensic, open-source tool for detecting AI-generated text from large language models like GPT-2. It highlights the predictability of each word using a color-coded overlay (green/yellow for likely, red/purple for unlikely), provides histograms of rank distributions and entropy, and shows top predicted tokens on hover. With a live demo, pre-loaded examples, and research-backed improvements in human detection accuracy (from 54% to 72%), GLTR empowers journalists, educators, researchers, and the public to distinguish machine-written from human-authored content. Developed by MIT-IBM Watson AI Lab and HarvardNLP, GLTR debuted as an ACL 2019 demo and is available on GitHub.
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