Core Concepts
GPT-whoは、情報密度に基づいた初の心理言語学的に意識した多クラスドメインアゴノスティック統計検出器であり、著者の特徴的な情報シグネチャを正確に捉えることができます。
Stats
"We evaluate our method using 4 large-scale benchmark datasets and find that GPT-who outperforms state-of-the-art detectors (both statistical & non-statistical) such as GLTR, GPTZero, DetectGPT, OpenAI detector, and ZeroGPT by over 20% across domains."
Quotes
"We propose GPT-who, the first psycholinguistically-aware multi-class domain-agnostic statistical detector."
"GPT-who can distinguish texts generated by very sophisticated LLMs."
"UID-based measures for all datasets and code are available at https://github.com/saranya-venkatraman/gpt-who."