Anubis re-frames LLM attribution as a distribution testing problem with EVAL access, and reports AUROC above 0.9 on code benchmarks with around 2000 samples, beating detectGPT.
Canonne, Ayush Jain, Gautam Kamath, and Jerry Li
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Zero-Shot Attribution for Large Language Models: A Distribution Testing Approach
Anubis re-frames LLM attribution as a distribution testing problem with EVAL access, and reports AUROC above 0.9 on code benchmarks with around 2000 samples, beating detectGPT.