🧑‍🔬 Who cites Jinyuan Jia

227 citations of their works from 213 papers of our library (of the 149,439 whose bibliographies we read) · 58 with a page here, the most cited first · ← Jinyuan Jia

1. A Survey on RAG Meeting LLMs: Towards Retrieval-Augmented Large Language ModelsACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD)Wenqi Fan; Yujuan Ding; Liangbo Ning; Shijie Wang; Hengyun Li; Dawei Yin; Tat-Seng Chua;, Qing Li2024 · 1,010 citations
2. Security and Privacy Challenges of Large Language Models: A SurveyACM Computing SurveysBadhan Chandra Das, M. Hadi Amini, Yanzhao Wu2024 · 424 citations
3. TrustLLM: Trustworthiness in Large Language ModelsarXiv:2401.05561Yue Huang, Lichao Sun, Haoran Wang, et al.2024 · 237 citations
4. GPT-4 Is Too Smart To Be Safe: Stealthy Chat with LLMs via CipherarXiv:2308.06463Youliang Yuan, Wenxiang Jiao, Wenxuan Wang, et al.2023 · 168 citations
5. Safety Alignment Should Be Made More Than Just a Few Tokens DeeparXiv:2406.05946Xiangyu Qi, Ashwinee Panda, Kaifeng Lyu, et al.2024 · 97 citations
6. Retrieval-Augmented Generation with Graphs (GraphRAG)arXiv:2501.00309Haoyu Han, Yu Wang, Harry Shomer, et al.2025 · 87 citations
7. Retrieval-Augmented Generation for Natural Language Processing: A SurveyArtificial Intelligence ReviewShangyu Wu, Ying Xiong, Yufei Cui, et al.2024 · 86 citations
8. ArtPrompt: ASCII Art-based Jailbreak Attacks against Aligned LLMsarXiv:2402.11753Fengqing Jiang, Zhangchen Xu, Luyao Niu, et al.2024 · 83 citations
9. PoisonedRAG: Knowledge Corruption Attacks to Retrieval-Augmented Generation of Large Language ModelsarXiv:2402.07867Wei Zou, Runpeng Geng, Binghui Wang, et al.2024 · 80 citations
10. VoiceBench: Benchmarking LLM-Based Voice AssistantsTransactions of the Association for Computational Linguistics (TACL)Yiming Chen, Xianghu Yue, Chen Zhang, et al.2026 · 74 citations
11. Astute RAG: Overcoming Imperfect Retrieval Augmentation and Knowledge Conflicts for Large Language ModelsAnnual Meeting of the Association for Computational Linguistics (ACL)Fei Wang, Xingchen Wan, Ruoxi Sun, et al.2025 · 59 citations
12. Blinded by Generated Contexts: How Language Models Merge Generated and Retrieved Contexts When Knowledge Conflicts?Annual Meeting of the Association for Computational Linguistics (ACL)Hexiang Tan, Fei Sun, Wanli Yang, et al.2024 · 37 citations
13. Can Indirect Prompt Injection Attacks Be Detected and Removed?Annual Meeting of the Association for Computational Linguistics (ACL)Yulin Chen, Haoran Li, Yuan Sui, et al.2025 · 30 citations
14. Breaking Agents: Compromising Autonomous LLM Agents Through Malfunction AmplificationConference on Empirical Methods in Natural Language Processing (EMNLP)Boyang Zhang, Yicong Tan, Yun Shen, et al.2025 · 29 citations
15. The Task Shield: Enforcing Task Alignment to Defend Against Indirect Prompt Injection in LLM AgentsAnnual Meeting of the Association for Computational Linguistics (ACL)Feiran Jia, Tong Wu, Xin Qin, et al.2025 · 27 citations
16. StateFlow: Enhancing LLM Task-Solving through State-Driven WorkflowsarXiv:2403.11322Yiran Wu, Tianwei Yue, Shaokun Zhang, et al.2024 · 25 citations
17. Defense Against Prompt Injection Attack by Leveraging Attack TechniquesAnnual Meeting of the Association for Computational Linguistics (ACL)Yulin Chen, Haoran Li, Zihao Zheng, et al.2025 · 24 citations
18. Reasoning-to-Defend: Safety-Aware Reasoning Can Defend Large Language Models from JailbreakingConference on Empirical Methods in Natural Language Processing (EMNLP)Junda Zhu, Lingyong Yan, Shuaiqiang Wang, et al.2025 · 21 citations
19. Refuse Whenever You Feel Unsafe: Improving Safety in LLMs via Decoupled Refusal TrainingAnnual Meeting of the Association for Computational Linguistics (ACL)Youliang Yuan, Wenxiang Jiao, Wenxuan Wang, et al.2025 · 19 citations
20. Shaping the Safety Boundaries: Understanding and Defending Against Jailbreaks in Large Language ModelsAnnual Meeting of the Association for Computational Linguistics (ACL)Lang Gao, Jiahui Geng, Xiangliang Zhang, et al.2025 · 19 citations
21. LLMs know their vulnerabilities: Uncover Safety Gaps through Natural Distribution ShiftsAnnual Meeting of the Association for Computational Linguistics (ACL)Qibing Ren, Hao Li, Dongrui Liu, et al.2025 · 18 citations
22. PIGuard: Prompt Injection Guardrail via Mitigating Overdefense for FreeAnnual Meeting of the Association for Computational Linguistics (ACL)Hao Li, Xiaogeng Liu, Ning Zhang, et al.2025 · 16 citations
23. AdaSteer: Your Aligned LLM is Inherently an Adaptive Jailbreak DefenderConference on Empirical Methods in Natural Language Processing (EMNLP)Weixiang Zhao, Jiahe Guo, Yulin Hu, et al.2025 · 11 citations
24. Logic Jailbreak: Efficiently Unlocking LLM Safety Restrictions Through Formal Logical ExpressionFindings of the Association for Computational LinguisticsJingyu Peng, Maolin Wang, Nan Wang, et al.2026 · 8 citations
25. False Sense of Security: Why Probing-based Malicious Input Detection Fails to GeneralizeFindings of the Association for Computational LinguisticsCheng Wang, Zeming Wei, Qin Liu, et al.2026 · 5 citations
26. Jailbreaking Attacks vs. Content Safety Filters: How Far Are We in the LLM Safety Arms Race?Findings of the Association for Computational LinguisticsYuan Xin, Dingfan Chen, Linyi Yang, et al.2026 · 3 citations
27. Unraveling LLM Jailbreaks Through Safety Knowledge NeuronsConference of the European Chapter of the Association for Computational Linguistics (EACL)Chongwen Zhao, Yutong Ke, Kaizhu Huang2026 · 3 citations
28. Position: LLM Watermarking Should Align Stakeholders' Incentives for Practical AdoptionFindings of the Association for Computational LinguisticsYepeng Liu, Xuandong Zhao, Dawn Song, et al.2026 · 2 citations
29. Activation-Guided Local Editing for Jailbreaking AttacksAnnual Meeting of the Association for Computational Linguistics (ACL)Jiecong Wang, Haoran Li, Hao Peng, et al.2026 · 1 citation
30. Be Your Own Red Teamer: Safety Alignment via Self-Play and Reflective Experience ReplayFindings of the Association for Computational LinguisticsHao Wang, Yanting Wang, Hao Li, et al.2026 · 1 citation
31. Beyond Surface-Level Detection: Towards Cognitive-Driven Defense Against Jailbreak Attacks via Meta-Operations ReasoningAnnual Meeting of the Association for Computational Linguistics (ACL)Rui Pu, Chaozhuo Li, Rui Ha, et al.2026 · 1 citation
32. Context-attended Adversarial Reinforcement Learning for Robust Multi-step Retrieval Augmented GenerationFindings of the Association for Computational LinguisticsYingtao Ren, Xiao Luo, Yu-Cheng Chang, et al.2026 · 1 citation
33. Knowing When Not to Answer: Lightweight KB-Aligned OOD Detection for Safe RAGAnnual Meeting of the Association for Computational Linguistics (ACL)Ilias Triantafyllopoulos, Renyi Qu, Salvatore Giorgi, et al.2026 · 1 citation
34. LogicPoison: Logical Attacks on Graph Retrieval-Augmented GenerationAnnual Meeting of the Association for Computational Linguistics (ACL)Yilin Xiao, Jin Chen, Qinggang Zhang, et al.2026 · 1 citation
35. ReasoningGuard: Safeguarding Large Reasoning Models with Inference-time Safety Aha MomentsAnnual Meeting of the Association for Computational Linguistics (ACL)Yuquan Wang, Mi Zhang, Yining Wang, et al.2026 · 1 citation
36. Authorization-First Retrieval: Enforcing Least Privilege in Multi-Agent RAG SystemsWorkshop on Trustworthy NLPRohith Namboothiri2026
37. Beyond Explicit Refusals: Soft-Failure Attacks on Retrieval-Augmented GenerationAnnual Meeting of the Association for Computational Linguistics (ACL)Wentao Zhang, Yan Zhuang, ZhuHang Zheng, et al.2026
38. CachePrune: Teaching LLMs What Not to Follow via KV-Cache EditingAnnual Meeting of the Association for Computational Linguistics (ACL)Rui Wang, Junda Wu, Yu Xia, et al.2026
39. Calibrating Inference Time Alignment with Sequence-level Risk AccumulationAnnual Meeting of the Association for Computational Linguistics (ACL)Shanwen Tan, Ziyang Dong, Wei Ju, et al.2026
40. Cognitive Analysis Graph-Guided Multi-Turn Safety Enhancement for Large Language ModelsFindings of the Association for Computational LinguisticsLanxue Zhang, Yuqiang Xie, Fang Fang, et al.2026
41. Decoding-Unlearning: Fact Forgetting via Entropy-Guided InferenceAnnual Meeting of the Association for Computational Linguistics (ACL)Jingwen Pu, Mingjun Shi, Xinrui Ren, et al.2026
42. FineSteer: A Unified Framework for Fine-Grained Inference-Time Steering in Large Language ModelsAnnual Meeting of the Association for Computational Linguistics (ACL)Zixuan Weng, Jinghuai Zhang, Kunlin Cai, et al.2026
43. How Adversarial Environments Mislead Agentic AI?Findings of the Association for Computational LinguisticsZhonghao Zhan, Huichi Zhou, Zhenhao Li, et al.2026
44. InferPilot: Autonomous Inference Attacks Against ML Services With LLM-Based AgentsFindings of the Association for Computational LinguisticsYixin Wu, Rui Wen, Chi Cui, et al.2026
45. Knowledge Poisoning Attacks on Medical Multi-Modal Retrieval-Augmented GenerationAnnual Meeting of the Association for Computational Linguistics (ACL)Peiru Yang, Haoran Zheng, Tong Ju, et al.2026
46. LeakDojo: Decoding the Leakage Threats of RAG SystemsFindings of the Association for Computational LinguisticsMaosen Zhang, Jianshuo Dong, Lu Boting, et al.2026
47. More Thinking, Less Talking: Internalizing Deliberative Safety into LLM ParametersAnnual Meeting of the Association for Computational Linguistics (ACL)Guan Wang, Xuehai Tang, Biyu Zhou, et al.2026
48. Please refuse to answer me! Mitigating Over-Refusal in Large Language Models via Adaptive Contrastive DecodingAnnual Meeting of the Association for Computational Linguistics (ACL)Yupeng Qi, Ziyu Lyu, Lixin Cui, et al.2026
49. Policy Compliance of User Requests in Natural Language for AI SystemsAnnual Meeting of the Association for Computational Linguistics (ACL)Pedro Cisneros-Velarde2026
50. PRA-RAG: Provably Robust Aggregation in Retrieval-Augmented Generation against Retrieval CorruptionFindings of the Association for Computational LinguisticsXue Tan, Yi Zheng, Chang Huo, et al.2026
51. RAP-ID: Mechanistic Prompt Injection Detection via Impostor Behavior AnalysisFindings of the Association for Computational LinguisticsYuchen Yang, Lei Peng, Yujie He, et al.2026
52. Reasoning Hijacking: The Fragility of Reasoning Alignment in Large Language ModelsAnnual Meeting of the Association for Computational Linguistics (ACL)Yuansen Liu, Yixuan Tang, Anthony Kum Hoe Tung2026
53. Resolving the Security-Auditability Dilemma with Auditable Latent Chain-of-Thought AlignmentAnnual Meeting of the Association for Computational Linguistics (ACL)Guan Wang, Biyu Zhou, Xuehai Tang, et al.2026
54. RIPRAG: Hack a Black-box Retrieval-Augmented Generation Question-Answering System with Reinforcement LearningFindings of the Association for Computational LinguisticsMeng Xi, Sihan Lv, Yechen Jin, et al.2026
55. Stop Fixating on Prompts: Reasoning Hijacking and Constraint Tightening for Red-Teaming LLM AgentsAnnual Meeting of the Association for Computational Linguistics (ACL)Yanxu Mao, Peipei Liu, Tiehan Cui, et al.2026
56. Toxic Subword Pruning for Dialogue Response Generation on Large Language ModelsJoint Conference on Lexical and Computational Semantics (*SEM)Hongyuan Adam Lu, Wai Lam2026
57. TrajGuard: Streaming Hidden-state Trajectory Detection for Decoding-time Jailbreak DefenseFindings of the Association for Computational LinguisticsCheng Liu, Xiaolei Liu, Xingyu Li, et al.2026
58. You Only Need One Single Token to Refine Safety AlignmentFindings of the Association for Computational LinguisticsWenqian Yu, Shuo Chen, Zhijiang Li, et al.2026

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