mlsanityData to 13 Oct 2026

PetKaz at SemEval-2024 Task 8: Can Linguistics Capture the Specifics of LLM-generated Text?

arXiv 2404.05483 ↗First posted 8 Apr 2024cs.CL cs.AIcited by 4

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Abstract (arXiv)

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 domains, achieving an accuracy of 0.91.

Key facts. Cited by 4 papers in the map (data through 13 Oct 2026). Builds on 8 of its 21 references that are in the map. First posted on arXiv 8 Apr 2024.

Builds on

8 of 21 references.

References · 8

  1. 2019PyTorch: An Imperative Style, High-Performance Deep Learning Librarycited by 20,223
  2. 2019RoBERTa: A Robustly Optimized BERT Pretraining Approachcited by 13,322
  3. 2023DetectGPT: Zero-Shot Machine-Generated Text Detection using Probability Curvaturecited by 717
  4. 2023DetectLLM: Leveraging Log Rank Information for Zero-Shot Detection of Machine-Generated Textcited by 207
  5. 2023M4: Multi-generator, Multi-domain, and Multi-lingual Black-Box Machine-Generated Text Detectioncited by 120
  6. 2023A Survey on Detection of LLMs-Generated Contentcited by 71
  7. 2022CoCo: Coherence-Enhanced Machine-Generated Text Detection Under Data Limitation With Contrastive Learningcited by 32
  8. 2019A Unified Linear-Time Framework for Sentence-Level Discourse Parsingcited by 15

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Cited by year (2026 to 13 Oct)

Citing papers per year: 2024: 1; 2025: 2; 2026: 1.

4 papers.

  1. 2024SemEval-2024 Task 8: Multidomain, Multimodel and Multilingual Machine-Generated Text Detectioncited by 30
  2. 2025Linguistic Characteristics of AI-Generated Text: A Surveycited by 7
  3. 2025PUCP-Metrix: An Open-source and Comprehensive Toolkit for Linguistic Analysis of Spanish Textscited by 0
  4. 2026Interpretable Predictability-Based AI Text Detection: A Replication Studycited by 0