Adversarial detector training
According to the model card, a paraphraser tries to make AI text more human-like while the detector improves its ability to identify AI text.
Open Source Model Profile · TrustSafeAI
RADAR-Vicuna-7B is a RoBERTa-based AI-text detector from TrustSafeAI. According to the model card, it was trained with adversarial learning between a detector and a paraphraser.
RADAR-Vicuna-7B is published by TrustSafeAI as a text-classification model. The captured configuration identifies RobertaForSequenceClassification with model type roberta. According to the model card, it detects AI-generated text after adversarial training on OpenWebText human text and Vicuna-7B-generated AI text.
According to the model card, a paraphraser tries to make AI text more human-like while the detector improves its ability to identify AI text.
The model card describes an encoder-only transformer based on RoBERTa, matching the captured RobertaForSequenceClassification architecture.
According to the model card, AI-text training data was generated by Vicuna-7B completing OpenWebText prefix spans.
According to the model card, the model carries a non-commercial license inherited from Vicuna-7B-v1.1 and is not for commercial activities.
Source: TrustSafeAI/RADAR-Vicuna-7B
Captured: Unknown. Processed: 2026-09-07T19:34:38.000882+00:00.
RADAR Model Card Model Details RADAR-Vicuna-7B is an AI-text detector trained via adversarial learning between the detector and a paraphraser on human-text corpus ( OpenWebText ) and AI-text corpus generated based on OpenWebText . Developed by: TrustSafeAI Model type: An encoder-only language model based on the transformer architecture (RoBERTa). License: Non-commercial license (inherited from Vicuna-7B-v1.1) Trained from model: RoBERTa Model Sources Project Page: https://radar.vizhub.ai/ Paper: https://arxiv.org/abs/2307.03838 IBM Blog Post: https://research.ibm.com/blog/AI-forensics-attribution Uses Users could use this detector t…
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