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PetKaz at SemEval-2024 Task 8: Can Linguistics Capture the Specifics of LLM-generated Text?
April 9, 2024, 4:51 a.m. | Kseniia Petukhova, Roman Kazakov, Ekaterina Kochmar
cs.CL updates on arXiv.org arxiv.org
Abstract: In this paper, we present our submission to the SemEval-2024 Task 8 "Multigenerator, Multidomain, and Multilingual Black-Box Machine-Generated Text Detection", focusing on the detection of machine-generated texts (MGTs) in English. Specifically, our approach relies on combining embeddings from the RoBERTa-base with diversity features and uses a resampled training set. We score 12th from 124 in the ranking for Subtask A (monolingual track), and our results show that our approach is generalizable across unseen models and …
abstract arxiv box cs.ai cs.cl detection diversity embeddings english generated linguistics llm machine multilingual paper roberta text type
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