Feature Extraction
Safetensors
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roberta
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@@ -17,6 +17,10 @@ We've found the representations to be performant for machine-text detection in p
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  We expect to release more performant versions of LUSR in the future.
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  We'll link all such versions here.
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  ## Few-Shot Machine-text Detection
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  The following table shows machine-text detection performance on the M4 dataset using the same setup as: [Few-Shot Detection of Machine-Generated Text using Style Representations
 
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  We expect to release more performant versions of LUSR in the future.
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  We'll link all such versions here.
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+ **Update 08/06/2026** - LUSR achieves the **top score** on the STEB-Operational benchmark and the **third-highest score** on the STEB-Definitional benchmark.
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+ [STEB](https://arxiv.org/abs/2606.31741) is a comprehensive benchmark for style embeddings, spanning **96 datasets across 7 languages**.
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+ See the STEB [leaderboard](https://rrivera1849.github.io/STEB/leaderboard/) and [codebase](https://github.com/rrivera1849/STEB).
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  ## Few-Shot Machine-text Detection
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  The following table shows machine-text detection performance on the M4 dataset using the same setup as: [Few-Shot Detection of Machine-Generated Text using Style Representations