🔗 Who cites «Personal LLM Agents: Insights and Survey about the Capability, Efficiency and Security»

69 papers of our library cite it (of the 149,439 whose bibliographies we read) · 18 with a page here, the most cited first · ← back to «Personal LLM Agents: Insights and Survey about the Capability, Efficiency and Security»

1. From Persona to Personalization: A Survey on Role-Playing Language AgentsarXiv:2404.18231Jiangjie Chen, Xintao Wang, Rui Xu, et al.2024 · 115 citations
2. A Survey on Efficient Inference for Large Language ModelsarXiv:2404.14294Zixuan Zhou, Xuefei Ning, Ke Hong, et al.2024 · 113 citations
3. 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
4. Retrieval-Augmented Generation for Natural Language Processing: A SurveyArtificial Intelligence ReviewShangyu Wu, Ying Xiong, Yufei Cui, et al.2024 · 86 citations
5. A Survey of Efficient Reasoning for Large Reasoning Models: Language, Multimodality, and BeyondarXiv:2503.21614Xiaoye Qu, Yafu Li, Zhao-Chen Su, et al.2025 · 55 citations
6. In Prospect and Retrospect: Reflective Memory Management for Long-term Personalized Dialogue AgentsAnnual Meeting of the Association for Computational Linguistics (ACL)Zhen Tan, Jun Yan, I-Hung Hsu, et al.2025 · 46 citations
7. Personalized Generation In Large Model Era: A SurveyAnnual Meeting of the Association for Computational Linguistics (ACL)Yiyan Xu, Jinghao Zhang, Alireza Salemi, et al.2025 · 24 citations
8. 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
9. H-MEM: Hierarchical Memory for High-Efficiency Long-Term Reasoning in LLM AgentsConference of the European Chapter of the Association for Computational Linguistics (EACL)Haoran Sun, Shaoning Zeng, Bob Zhang2026 · 8 citations
10. Context Reasoner: Incentivizing Reasoning Capability for Contextualized Privacy and Safety Compliance via Reinforcement LearningConference on Empirical Methods in Natural Language Processing (EMNLP)Wenbin Hu, Haoran Li, Huihao Jing, et al.2025 · 7 citations
11. Preference-Aware Memory Update for Long-Term LLM AgentsFindings of the Association for Computational LinguisticsHaoran Sun, Zekun Zhang, Shaoning Zeng2026 · 4 citations
12. 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
13. PAC-BENCH: Evaluating Multi-Agent Collaboration under Privacy ConstraintsFindings of the Association for Computational LinguisticsMinjun Park, Donghyun Kim, Hyeonjong Ju, et al.2026 · 1 citation
14. Does Chain-of-Thought Reasoning Help Mobile GUI Agents? An Empirical StudyFindings of the Association for Computational LinguisticsLi Zhang, Longxi Gao, Mengwei Xu2026
15. How to Make LMs Strong Node Classifiers?Findings of the Association for Computational LinguisticsZhe Xu, Kaveh Hassani, Si Zhang, et al.2026
16. Learning How and What to Memorize: Cognition-Inspired Two-Stage Optimization for Evolving MemoryAnnual Meeting of the Association for Computational Linguistics (ACL)Derong Xu, Shuochen Liu, Pengfei Luo, et al.2026
17. MENTOR: Mitigating Identity Drift in Dynamic Role-Playing via Dual-Chain Structured MemoryFindings of the Association for Computational LinguisticsZhu Zhuoning, Xingyu Gao, Hailong Shi2026
18. TriEx: A Game-based Tri-View Framework for Explaining Internal Reasoning in Multi-Agent LLMsAnnual Meeting of the Association for Computational Linguistics (ACL)Ziyi Wang, Chen Zhang, Wenjun Peng, et al.2026

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