🧑‍🔬 Who cites Yao Dou

149 citations of their works from 143 papers of our library (of the 141,840 whose bibliographies we read) · 10 with a page here, the most cited first · ← Yao Dou

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
7. A Human-in/on-the-Loop Framework for Accessible Text GenerationLourdes Moreno, Paloma Martínez2026 · 3 citations
8. Assessing Small Language Models as Text Simplification EvaluatorsDavid Carranza Navarrete, Jan Bakker, Jaap Kamps2026
9. Exploring Cognitively Informed Sentence Simplification with Gaze-Guided Text GenerationAndreas Säuberli, Diego Frassinelli, Barbara Plank2026
10. Simplify-Pro: A Two-level and Progressive LLM-based Framework for Auto Long Text SimplificationPeng Zhou, Guangxin Li, Xiaoying Huang, et al.2026

133 more citing papers of our library have no page here yet.

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