Papers with classification-based detectors

2 papers
IMGTB: A Framework for Machine-Generated Text Detection Benchmarking (2024.acl-demos)

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Challenge: MGTD methods are needed in many areas, such as prevention of disinformation spreading, plagiarism, impersonation and identity theft.
Approach: They propose a framework for machine-generated text detection that integrates custom methods and evaluation datasets into existing frameworks.
Outcome: The proposed framework simplifies the benchmarking of machine-generated text detection methods by easy integration of custom (new) methods and evaluation datasets.
Explaining Generalization of AI-Generated Text Detectors Through Linguistic Analysis (2026.eacl-long)

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Challenge: Existing studies have reported generalization gaps in AI-text detectors, but they lack insights into the causes.
Approach: They propose to analyze generalization behavior of AI-text detectors using linguistic analysis to explain performance variance.
Outcome: The proposed model can generalize across unseen prompts, model families, and domains, but it can't generalize under distribution shifts.

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