GigaCheck detects LLM-generated text at both document and span levels by combining fine-tuned language-model embeddings with a DETR-like architecture that treats generated intervals as detectable objects.
M4gt-bench: Evaluation benchmark for black-box machine- generated text detection
2 Pith papers cite this work, alongside 3 external citations. Polarity classification is still indexing.
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Humans detect AI-generated text at 87.6% accuracy across 9 languages and 9 domains, outperforming prior near-random results, and do not always prefer human-written text when the source is unclear.
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GigaCheck: Detecting LLM-generated Content via Object-Centric Span Localization
GigaCheck detects LLM-generated text at both document and span levels by combining fine-tuned language-model embeddings with a DETR-like architecture that treats generated intervals as detectable objects.
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Is Human-Like Text Liked by Humans? Multilingual Human Detection and Preference Against AI
Humans detect AI-generated text at 87.6% accuracy across 9 languages and 9 domains, outperforming prior near-random results, and do not always prefer human-written text when the source is unclear.