Papers with Cross-Model Detection

1 papers
From Text to Source: Results in Detecting Large Language Model-Generated Content (2024.lrec-main)

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Challenge: Large Language Models (LLMs) generate human-like text, but have ethical and misuse concerns.
Approach: They evaluate whether a classifier trained to distinguish between source and target LLMs can detect text from an LLM without further training.
Outcome: The proposed method detects text from target LLMs without further training.

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