🔗 Who cites «Is GPT-3 Text Indistinguishable from Human Text? Scarecrow: A Framework for Scrutinizing Machine Text»

62 papers of our library cite it (of the 141,840 whose bibliographies we read) · 6 with a page here, the most cited first · ← the paper

1. A Survey on LLM-Generated Text Detection: Necessity, Methods, and Future DirectionsJunchao Wu, Shu Yang, Runzhe Zhan, et al.2025 · 276 citations
2. Synthetic Data Generation with Large Language Models for Text Classification: Potential and LimitationsZhuoyan Li, Hangxiao Zhu, Zhuoran Lu, et al.2023 · 242 citations
3. Fine-Grained Human Feedback Gives Better Rewards for Language Model TrainingZeqiu Wu, Yushi Hu, Weijia Shi, et al.2023 · 212 citations
4. Ghostbuster: Detecting Text Ghostwritten by Large Language ModelsVivek Verma, Eve Fleisig, Nicholas Tomlin, et al.2024 · 122 citations
5. How Much Do Language Models Copy From Their Training Data? Evaluating Linguistic Novelty in Text Generation Using RAVENR. Thomas McCoy, Paul Smolensky, Tal Linzen, et al.2023 · 116 citations
6. LENS: A Learnable Evaluation Metric for Text SimplificationMounica Maddela, Yao Dou, David Heineman, et al.2023 · 103 citations

56 more papers of our library cite it; they have no page here yet.

This page in Markdown → https://md.research.elamur.ai/free/en/papers/dou-2022-is-gpt-3-text-indistinguishable/cited-by/