--- title: "Who cites RADAR: Robust AI-Text — 85 citing papers" description: "85 papers of the Elamur Research library cite «RADAR: Robust AI-Text Detection via Adversarial Learning», found in their bibliographies; the…" canonical: "https://research.elamur.ai/free/en/papers/hu-2023-radar-robust-ai-text-detection/cited-by/" --- [Elamur Research](https://md.research.elamur.ai/free/en/) · [this page in HTML](https://research.elamur.ai/free/en/papers/hu-2023-radar-robust-ai-text-detection/cited-by/) [home](https://md.research.elamur.ai/free/en/) / [papers](https://md.research.elamur.ai/free/en/papers/) / [RADAR: Robust AI-Text Detection via Adversarial…](https://md.research.elamur.ai/free/en/papers/hu-2023-radar-robust-ai-text-detection/) / cited by # Who cites «RADAR: Robust AI-Text Detection via Adversarial Learning» 85 papers of our library cite it (of the 149,439 whose bibliographies we read) · 21 with a page here, the most cited first · [← back to «RADAR: Robust AI-Text Detection via Adversarial Learning»](https://md.research.elamur.ai/free/en/papers/hu-2023-radar-robust-ai-text-detection/) 1. [**Spotting LLMs With Binoculars: Zero-Shot Detection of Machine-Generated Text arXiv:2401.12070**Abhimanyu Hans, Avi Schwarzschild, Valeriia Cherepanova, et al.*2024 · 120 citations*](https://md.research.elamur.ai/free/en/papers/hans-2024-spotting-llms-binoculars-zero-shot/) 2. [**Monitoring AI-Modified Content at Scale: A Case Study on the Impact of ChatGPT on AI Conference Peer Reviews arXiv:2403.07183**Weixin Liang, Zachary Izzo, Yaohui Zhang, et al.*2024 · 119 citations*](https://md.research.elamur.ai/free/en/papers/liang-2024-monitoring-ai-modified-content/) 3. **[RAID: A Shared Benchmark for Robust Evaluation of Machine-Generated Text Detectors](https://md.research.elamur.ai/free/en/papers/dugan-2024-raid-shared-benchmark-robust-evaluation/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Liam Dugan, Alyssa Hwang, Filip Trhlík, et al.*2024 · 110 citations* 4. [**On the Reliability of Watermarks for Large Language Models arXiv:2306.04634**John Kirchenbauer, Jonas Geiping, Yuxin Wen, et al.*2023 · 103 citations*](https://md.research.elamur.ai/free/en/papers/kirchenbauer-2023-reliability-watermarks-large-language-models/) 5. [**Mapping the Increasing Use of LLMs in Scientific Papers arXiv:2404.01268**Weixin Liang, Yaohui Zhang, Zhengxuan Wu, et al.*2024 · 89 citations*](https://md.research.elamur.ai/free/en/papers/liang-2024-mapping-increasing-use-llms/) 6. **[People who frequently use ChatGPT for writing tasks are accurate and robust detectors of AI-generated text](https://md.research.elamur.ai/free/en/papers/russell-2025-people-who-frequently-use-chatgpt/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Jenna Russell, Marzena Karpinska, Mohit Iyyer*2025 · 33 citations* 7. **[Does DetectGPT Fully Utilize Perturbation? Bridging Selective Perturbation to Fine-tuned Contrastive Learning Detector would be Better](https://md.research.elamur.ai/free/en/papers/liu-2024-does-detectgpt-fully-utilize-perturbation/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Shengchao Liu, Xiaoming Liu, Yichen Wang, et al.*2024 · 16 citations* 8. **[Explaining Generalization of AI-Generated Text Detectors Through Linguistic Analysis](https://md.research.elamur.ai/free/en/papers/xia-2026-explaining-generalization-ai-generated-text/) [Conference of the European Chapter of the Association for Computational Linguistics (EACL)](https://md.research.elamur.ai/free/en/venues/eacl/)**Yuxi Xia, Kinga Stańczak, Benjamin Roth*2026 · 2 citations* 9. **[DeSegMa-IT at EVALITA 2026: Overview of the “Detection and Segmentation of Machine Generated Texts in Italian”](https://md.research.elamur.ai/free/en/papers/puccetti-2026-desegma-it-evalita-2026-overview/) [Evaluation Campaign of Natural Language Processing and Speech Tools for Italian. Final Workshop](https://md.research.elamur.ai/free/en/venues/evalita/)**Giovanni Puccetti, Andrea Pedrotti, Andrea Esuli*2026 · 1 citation* 10. **[Identifying Bias in Machine-generated Text Detection](https://md.research.elamur.ai/free/en/papers/stowe-2026-identifying-bias-machine-generated-text/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Kevin Stowe, Svetlana Afanaseva, Rodolfo C. Raimundo, et al.*2026 · 1 citation* 11. **[Spotlights and Blindspots: Evaluating Machine-Generated Text Detection](https://md.research.elamur.ai/free/en/papers/stowe-2026-spotlights-blindspots-evaluating-machine-generated/) [Language Resources and Evaluation Conference (LREC)](https://md.research.elamur.ai/free/en/venues/lrec/)**Kevin Stowe, Kailash Patil*2026 · 1 citation* 12. **[Breaking the Generator Barrier: Disentangled Representation for Generalizable AI-Text Detection](https://md.research.elamur.ai/free/en/papers/pu-2026-breaking-generator-barrier-disentangled-representation/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Xiao Pu, Zepeng Cheng, Lin Yuan, et al.*2026* 13. **[C-ReD: A Comprehensive Chinese Benchmark for AI-Generated Text Detection Derived from Real-World Prompts](https://md.research.elamur.ai/free/en/papers/qing-2026-c-red-comprehensive-chinese-benchmark/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Chenxi Qing, Junxi Wu, Zheng Liu, et al.*2026* 14. **[Corpus and Baselines for Distinguishing Authentic, AI-Generated, and AI-Enhanced Resumes](https://md.research.elamur.ai/free/en/papers/loizidou-2026-corpus-baselines-distinguishing-authentic-ai/) [Language Resources and Evaluation Conference (LREC)](https://md.research.elamur.ai/free/en/venues/lrec/)**Andrea Loizidou, Anshu Kiran Sharma, Adrian Esquivel, et al.*2026* 15. **[Exons-Detect: Identifying and Amplifying Exonic Tokens via Hidden-State Discrepancy for Robust AI-Generated Text Detection](https://md.research.elamur.ai/free/en/papers/zhu-2026-exons-detect-identifying-amplifying-exonic/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Xiaowei Zhu, Yubing Ren, Fang Fang, et al.*2026* 16. **[GhostWriter: Hidden AI-Generated Texts over Multiple Languages, Domains and Generators](https://md.research.elamur.ai/free/en/papers/schaaf-2026-ghostwriter-hidden-ai-generated-texts/) [Language Resources and Evaluation Conference (LREC)](https://md.research.elamur.ai/free/en/venues/lrec/)**Manuel Schaaf, Kevin Bönisch, Alexander Mehler*2026* 17. **[MindFlayer at SemEval-2026 Task 13:LACR-ENS: Calibration-Aware Ensemble Routing for Cross-Language AI-Generated Code Detection](https://md.research.elamur.ai/free/en/papers/tuli-2026-mindflayer-semeval-2026-task-13/) [International Workshop on Semantic Evaluation (SemEval)](https://md.research.elamur.ai/free/en/venues/semeval/)**Jerin Romijah Tuli, Talukder Naemul Hasan Naem, Md. Sartaj Alam Pritom*2026* 18. **[SearchLLM: Detecting LLM Paraphrased Text by Measuring the Similarity with Regeneration of the Candidate Source via Search Engine](https://md.research.elamur.ai/free/en/papers/son-2026-searchllm-detecting-llm-paraphrased-text/) [Conference of the European Chapter of the Association for Computational Linguistics (EACL)](https://md.research.elamur.ai/free/en/venues/eacl/)**Hoang-Quoc Nguyen-Son, Minh-Son Dao, Koji Zettsu*2026* 19. **[Verifiable LLM-Generated Text Detection via Projected Semantic-Structural Distributions](https://md.research.elamur.ai/free/en/papers/xiong-2026-verifiable-llm-generated-text-detection/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Ruochong Xiong, Qien Li, Wangwang Lian, et al.*2026* 20. **[WaveDetect: Robust Framework for Machine-Generated Text Detection via Wavelet Transform](https://md.research.elamur.ai/free/en/papers/liu-2026-wavedetect-robust-framework-machine-generated/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Zhichen Liu, Kaitong Qin, Linhan He, et al.*2026* 21. **[Zero-Shot Detection of LLM-Generated Text using Temperature Sensitivity](https://md.research.elamur.ai/free/en/papers/ma-2026-zero-shot-detection-llm-generated/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Shixuan Ma, Jiahao Li, Zhendong Mao, et al.*2026* 64 more papers of our library cite it; they have no page here yet. - [← back to](https://md.research.elamur.ai/free/en/papers/hu-2023-radar-robust-ai-text-detection/) — RADAR: Robust AI-Text Detection via Adversarial Learning