🧑‍🔬 Who cites Yangjun Ruan

127 citations of their works from 127 papers of our library (of the 149,439 whose bibliographies we read) · 26 with a page here, the most cited first · ← Yangjun Ruan

1. A Review of Large Language Models and Autonomous Agents in ChemistryarXiv:2407.01603Mayk Caldas Ramos, Christopher J. Collison, Andrew D. White2024 · 288 citations
2. Tool Learning with Large Language Models: A SurveyFrontiers of Computer ScienceChangle Qu, Sunhao Dai, Xiaochi Wei, et al.2024 · 195 citations
3. InjecAgent: Benchmarking Indirect Prompt Injections in Tool-Integrated Large Language Model AgentsFindings of the Association for Computational LinguisticsQiusi Zhan, Zhixiang Liang, Zifan Ying, et al.2024 · 193 citations
4. τ-bench: A Benchmark for Tool-Agent-User Interaction in Real-World DomainsarXiv:2406.12045Shunyu Yao, Noah Shinn, Pedram Razavi, et al.2024 · 137 citations
5. R-Judge: Benchmarking Safety Risk Awareness for LLM AgentsFindings of the Association for Computational LinguisticsTongxin Yuan, Zhiwei He, Lingzhong Dong, et al.2024 · 106 citations
6. AgentBoard: An Analytical Evaluation Board of Multi-turn LLM AgentsConference on Neural Information Processing Systems (NeurIPS)Chang Ma, Junlei Zhang, Zhihao Zhu, et al.2024 · 90 citations
7. Foundational Challenges in Assuring Alignment and Safety of Large Language ModelsarXiv:2404.09932Usman Anwar, Abulhair Saparov, Javier Rando, et al.2024 · 87 citations
8. AndroidWorld: A Dynamic Benchmarking Environment for Autonomous AgentsarXiv:2405.14573Christopher Rawles, Sarah Clinckemaillie, Yifan Chang, et al.2024 · 82 citations
9. τ²-Bench: Evaluating Conversational Agents in a Dual-Control EnvironmentarXiv:2506.07982Victor Barres, Honghua Dong, Soham Ray, et al.2025 · 76 citations
10. Scaling Large Language Model-based Multi-Agent CollaborationarXiv:2406.07155Chen Qian, Zihao Xie, YiFei Wang, et al.2024 · 70 citations
11. Beyond Chinchilla-Optimal: Accounting for Inference in Language Model Scaling LawsarXiv:2401.00448Nikhil Sardana, Jacob Portes, Sasha Doubov, et al.2024 · 57 citations
12. AI Agents That MatterarXiv:2407.01502Sayash Kapoor, Benedikt Stroebl, Zachary S. Siegel, et al.2024 · 55 citations
13. Scaling Laws with Vocabulary: Larger Models Deserve Larger VocabulariesarXiv:2407.13623Chaofan Tao, Qian Liu, Longxu Dou, et al.2024 · 46 citations
14. Attacking Vision-Language Computer Agents via Pop-upsAnnual Meeting of the Association for Computational Linguistics (ACL)Yanzhe Zhang, Tao Yu, Diyi Yang2025 · 32 citations
15. CRMArena: Understanding the Capacity of LLM Agents to Perform Professional CRM Tasks in Realistic EnvironmentsConference of the North American Chapter of the Association for Computational Linguistics (NAACL)Kung-Hsiang Huang, Akshara Prabhakar, Sidharth Dhawan, et al.2025 · 30 citations
16. 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
17. A Survey on Evaluation of LLM-based AgentsFindings of the Association for Computational LinguisticsAsaf Yehudai, Lilach Eden, Alan Li, et al.2026 · 21 citations
18. AGrail: A Lifelong Agent Guardrail with Effective and Adaptive Safety DetectionAnnual Meeting of the Association for Computational Linguistics (ACL)Weidi Luo, Shenghong Dai, Xiaogeng Liu, et al.2025 · 20 citations
19. OS Agents: A Survey on MLLM-based Agents for Computer, Phone and Browser UseAnnual Meeting of the Association for Computational Linguistics (ACL)Xueyu Hu, Tao Xiong, Biao Yi, et al.2025 · 17 citations
20. DevBench: A multimodal developmental benchmark for language learningConference on Neural Information Processing Systems (NeurIPS)Alvin Wei Ming Tan, Sunny Yu, Bria Long, et al.2024 · 13 citations
21. SafeAgent: Safeguarding LLM Agents via an Automated Risk SimulatorAnnual Meeting of the Association for Computational Linguistics (ACL)Xueyang Zhou, Weidong Wang, Lin Lu, et al.2026 · 1 citation
22. Authorization-First Retrieval: Enforcing Least Privilege in Multi-Agent RAG SystemsWorkshop on Trustworthy NLPRohith Namboothiri2026
23. How Adversarial Environments Mislead Agentic AI?Findings of the Association for Computational LinguisticsZhonghao Zhan, Huichi Zhou, Zhenhao Li, et al.2026
24. LCO: LLM-based Constraint Optimization for Safer Agentic LLMs in Real-world TasksFindings of the Association for Computational LinguisticsJiayong Wan, Jiawei Chen, Zhaoxia Yin, et al.2026
25. RAP-ID: Mechanistic Prompt Injection Detection via Impostor Behavior AnalysisFindings of the Association for Computational LinguisticsYuchen Yang, Lei Peng, Yujie He, et al.2026
26. SafeMCP: Proactive Power Regulation for LLM Agent Defense via Environment-Grounded Look-Ahead ReasoningAnnual Meeting of the Association for Computational Linguistics (ACL)Lichao Wang, ZhaoXing Ren, Tianzhuo Yang, et al.2026

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