🧑‍🔬 Who cites Joey Tianyi Zhou

497 citations of their works from 497 papers of our library (of the 140,884 whose bibliographies we read) · 28 with a page here, the most cited first · ← Joey Tianyi Zhou

1. On the Opportunities and Risks of Foundation ModelsRishi Bommasani, Drew A. Hudson, Ehsan Adeli, et al.2021 · 3,044 citations
2. The Rise and Potential of Large Language Model Based Agents: A SurveyZhiheng Xi, Wenxiang Chen, Xin Guo, et al.2023 · 1,262 citations
3. TextAttack: A Framework for Adversarial Attacks, Data Augmentation, and Adversarial Training in NLPJohn X. Morris, Eli Lifland, Jin Yong Yoo, et al.2020 · 857 citations
4. BERT-ATTACK: Adversarial Attack Against BERT Using BERTLinyang Li, Ruotian Ma, Qipeng Guo, et al.2020 · 840 citations
5. BAE: BERT-based Adversarial Examples for Text ClassificationSiddhant Garg, Goutham Ramakrishnan2020 · 665 citations
6. A Survey on Recent Approaches for Natural Language Processing in Low-Resource ScenariosMichael A. Hedderich, Lukas Lange, Heike Adel, et al.2021 · 399 citations
7. Tool Learning with Foundation ModelsYujia Qin, Shengding Hu, Yankai Lin, et al.2023 · 376 citations
8. Word-level Textual Adversarial Attacking as Combinatorial OptimizationYuan Zang, Fanchao Qi, Chenghao Yang, et al.2020 · 338 citations
9. "Do Anything Now": Characterizing and Evaluating In-The-Wild Jailbreak Prompts on Large Language ModelsXinyue Shen, Zeyuan Chen, Michael Backes, et al.2023 · 320 citations
10. HarmBench: A Standardized Evaluation Framework for Automated Red Teaming and Robust RefusalMantas Mazeika, Long Phan, Xuwang Yin, et al.2024 · 312 citations
11. Search-R1: Training LLMs to Reason and Leverage Search Engines with Reinforcement LearningBowen Jin, Hansi Zeng, Zhenrui Yue, et al.2025 · 303 citations
12. PromptRobust: Towards Evaluating the Robustness of Large Language Models on Adversarial PromptsKaijie Zhu, Jindong Wang, Jiaheng Zhou, et al.2023 · 301 citations
13. DecodingTrust: A Comprehensive Assessment of Trustworthiness in GPT ModelsBoxin Wang, Weixin Chen, Hengzhi Pei, et al.2023 · 246 citations
14. Prompting GPT-3 To Be ReliableChenglei Si, Zhe Gan, Zhengyuan Yang, et al.2022 · 206 citations
15. Mind the Style of Text! Adversarial and Backdoor Attacks Based on Text Style TransferFanchao Qi, Yangyi Chen, Xurui Zhang, et al.2021 · 188 citations
16. Gradient-based Adversarial Attacks against Text TransformersChuan Guo, Alexandre Sablayrolles, Hervé Jégou, et al.2021 · 187 citations
17. Towards Reasoning Era: A Survey of Long Chain-of-Thought for Reasoning Large Language ModelsQiguang Chen, Libo Qin, Jinhao Liu, et al.2025 · 174 citations
18. From System 1 to System 2: A Survey of Reasoning Large Language ModelsZhong-Zhi Li, Duzhen Zhang, Ming-Liang Zhang, et al.2025 · 163 citations
19. SimpleRL-Zoo: Investigating and Taming Zero Reinforcement Learning for Open Base Models in the WildWeihao Zeng, Yuzhen Huang, Qian Liu, et al.2025 · 148 citations
20. Open-Reasoner-Zero: An Open Source Approach to Scaling Up Reinforcement Learning on the Base ModelJingcheng Hu, Yinmin Zhang, Qi Han, et al.2025 · 121 citations
21. GSM-Plus: A Comprehensive Benchmark for Evaluating the Robustness of LLMs as Mathematical Problem SolversQintong Li, Leyang Cui, Xueliang Zhao, et al.2024 · 107 citations
22. Evaluating and Enhancing the Robustness of Neural Network-based Dependency Parsing Models with Adversarial ExamplesXiaoqing Zheng, Jiehang Zeng, Yi Zhou, et al.2020 · 54 citations
23. DiscoFlan: Instruction Fine-tuning and Refined Text Generation for Discourse Relation Label ClassificationKaveri Anuranjana2023 · 13 citations
24. A Closer Look into the Robustness of Neural Dependency Parsers Using Better Adversarial ExamplesYuxuan Wang, Wanxiang Che, Ivan Titov, et al.2021 · 8 citations
25. Breaking the Benchmark: Revealing LLM Bias via Minimal Contextual AugmentationKaveh Eskandari Miandoab, Mahammed Kamruzzaman, Arshia Gharooni, et al.2026
26. ID10M-JAM: Stress-Testing Idiom Identification Under Challenging ContextKai Golan Hashiloni, Lior Livyatan, Ofri Hefetz, et al.2026
27. SPARTA: Evaluating Reasoning Segmentation Robustness through Black-Box Adversarial Paraphrasing in Text Autoencoder Latent SpaceViktoriia Zinkovich, Anton Antonov, Andrei Spiridonov, et al.2026
28. Robustness Evaluation of ChatGPT Against Chinese Adversarial Attacks (中文对抗攻击下的ChatGPT鲁棒性评估)Yunting Zhang (张云婷), Lin Ye (叶麟), Baisong Li (李柏松), et al.2025

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

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