--- title: "Who cites Zeyuan Chen — page 2 — 334 papers of our library" description: "334 papers of the Elamur Research library cite the works of Zeyuan Chen, found in their bibliographies · page 2 of 2 · 101–115; the most cited first." canonical: "https://research.elamur.ai/free/en/authors/zeyuan-chen/cited-by/page/2/" --- [Elamur Research](https://md.research.elamur.ai/free/en/) · [this page in HTML](https://research.elamur.ai/free/en/authors/zeyuan-chen/cited-by/page/2/) [home](https://md.research.elamur.ai/free/en/) / [authors](https://md.research.elamur.ai/free/en/authors/) / [Zeyuan Chen](https://md.research.elamur.ai/free/en/authors/zeyuan-chen/) / [cited by](https://md.research.elamur.ai/free/en/authors/zeyuan-chen/cited-by/) / page 2 # Who cites Zeyuan Chen 335 citations of their works from 334 papers of our library (of the 149,439 whose bibliographies we read) · 115 with a page here, the most cited first · page 2 of 2 · 101–115 · [← Zeyuan Chen](https://md.research.elamur.ai/free/en/authors/zeyuan-chen/) [← prev](https://md.research.elamur.ai/free/en/authors/zeyuan-chen/cited-by/) [1](https://md.research.elamur.ai/free/en/authors/zeyuan-chen/cited-by/) **2** 101. **[Adaptive Prompt Optimization for Open-Ended Tasks: Uncertainty Preference as a Secondary Signal](https://md.research.elamur.ai/free/en/papers/zhang-2026-adaptive-prompt-optimization-open-ended/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Shuyang Zhang, Zhixuan Liu, Zhichen Dong, et al.*2026* 102. **[Defeating Cerberus: Privacy-Leakage Mitigation in Vision Language Models](https://md.research.elamur.ai/free/en/papers/zhang-2026-defeating-cerberus-privacy-leakage-mitigation/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Boyang Zhang, Istemi Ekin Akkus, Ruichuan Chen, et al.*2026* 103. **[From Detection to Attribution: Forensic Linguistics and Adversarial Red Teaming as Complementary Responses to LLM Misuse](https://md.research.elamur.ai/free/en/papers/silva-2026-detection-attribution-forensic-linguistics-adversarial/) [International Conference on Natural Language Processing and Artificial Intelligence for Cyber Security](https://md.research.elamur.ai/free/en/venues/nlpaics/)**Rui Sousa-Silva*2026* 104. **[Jailbreaking Large Language Models with Morality Attacks](https://md.research.elamur.ai/free/en/papers/su-2026-jailbreaking-large-language-models-morality/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Ying Su, Zheng Mingen, Weili Diao, et al.*2026* 105. **[Merlin's Whisper: Enabling Efficient Reasoning in Large Language Models via Black-box Persuasive Prompting](https://md.research.elamur.ai/free/en/papers/xia-2026-merlin-s-whisper-enabling-efficient/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Heming Xia, Cunxiao Du, Rui Li, et al.*2026* 106. **[Pattern Enhanced Multi-Turn Jailbreaking: Exploiting Structural Vulnerabilities in Large Language Models](https://md.research.elamur.ai/free/en/papers/nihal-2026-pattern-enhanced-multi-turn-jailbreaking/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Ragib Amin Nihal, Rui Wen, Kazuhiro Nakadai, et al.*2026* 107. **[Quantifying LLM Safety Degradation Under Repeated Attacks Using Survival Analysis](https://md.research.elamur.ai/free/en/papers/topol-2026-quantifying-llm-safety-degradation-under/) [Workshop on Trustworthy NLP](https://md.research.elamur.ai/free/en/venues/trustnlp/)**Zvi Topol*2026* 108. **[Rejection-to-Acceptance Transition: Model Editing-Based Jailbreak Backdoor Injection Not Limited to Few Output Tokens](https://md.research.elamur.ai/free/en/papers/yang-2026-rejection-acceptance-transition-model-editing/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Shiji Yang, Min Cai, Hao Xiong, et al.*2026* 109. **[Retrieval-Augmented Defense: Adaptive and Controllable Jailbreak Prevention for Large Language Models](https://md.research.elamur.ai/free/en/papers/yang-2026-retrieval-augmented-defense-adaptive-controllable/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Guangyu Yang, Jinghong Chen, Jingbiao Mei, et al.*2026* 110. **[SafetyMem: Adaptive Jailbreak Defense via Dual-Component Safety Memory](https://md.research.elamur.ai/free/en/papers/wang-2026-safetymem-adaptive-jailbreak-defense-dual/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Hao Wang, Ziyi Ni, Huacan Wang, et al.*2026* 111. **[SHARP: Self-adaptive Harmful Category-aware Prompt Generation for Black-box Jailbreaking](https://md.research.elamur.ai/free/en/papers/xue-2026-sharp-self-adaptive-harmful-category/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Yingjie Xue, Xingyou Xia, Jun Zhang, et al.*2026* 112. **[Silencing the Guardrails: Inference-Time Jailbreaking via Dynamic Contextual Representation Ablation](https://md.research.elamur.ai/free/en/papers/xing-2026-silencing-guardrails-inference-time-jailbreaking/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Wenpeng Xing, Moran Fang, Guangtai Wang, et al.*2026* 113. **[StealthGraph: Exposing Domain-Specific Risks in LLMs through Knowledge-Graph-Guided Harmful Prompt Generation](https://md.research.elamur.ai/free/en/papers/zheng-2026-stealthgraph-exposing-domain-specific-risks/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Huawei Zheng, Xinqi Jiang, Sen Yang, et al.*2026* 114. **[Taken into consideration: evaluating esteem biases by race, gender and region in large language models in Brazilian Portuguese (Levados em Consideração: Uma Avaliação de Vieses de Estima por Raça, Gênero e Região em Grandes Modelos de Linguagem em Português Brasileiro)](https://md.research.elamur.ai/free/en/papers/melo-2026-levados-em-consideracao-uma-avaliacao/) [International Conference on Computational Processing of Portuguese](https://md.research.elamur.ai/free/en/venues/propor/)**João Lucas Lima de Melo, Marlo Souza*2026* 115. **[The Art of (Mis)alignment: How Fine-Tuning Methods Effectively Misalign and Realign LLMs in Post-Training](https://md.research.elamur.ai/free/en/papers/zhang-2026-art-mis-alignment-how-fine/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Rui Zhang, Hongwei Li, Yun Shen, et al.*2026* [← prev](https://md.research.elamur.ai/free/en/authors/zeyuan-chen/cited-by/) [1](https://md.research.elamur.ai/free/en/authors/zeyuan-chen/cited-by/) **2** 219 more citing papers of our library have no page here yet. - [← back to](https://md.research.elamur.ai/free/en/authors/zeyuan-chen/) — Zeyuan Chen