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Recent advancements in LLM-powered agents have demonstrated significant potential in generating human-like responses; however, they continue to face challenges in maintaining long-term interactions within complex environments, primarily due to limitations in contextual consistency and dynamic personalization.
The eu general data protection regulation (gdpr)
Paul Voigt and Axel Von dem Bussche · 2017
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Citizens’ data privacy in china: The state of the art of the personal information protection law (pipl)
Igor Calzada · 2022
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Personalization and customization of llm responses
Joel Eapen and VS Adhithyan · 2023
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Mehmet Fırat and Saniye Kuleli · 2023
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Lei Liu, Xiaoyan Yang, Yue Shen, Binbin Hu, Zhiqiang Zhang, Jinjie Gu, and Guannan Zhang · 2023
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Charles Packer, Vivian Fang, Shishir_G Patil, Kevin Lin, Sarah Wooders, and Joseph_E Gonzalez · 2023
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Integrating summarization and retrieval for enhanced personalization via large language models
Chris Richardson, Yao Zhang, Kellen Gillespie, Sudipta Kar, Arshdeep Singh, Zeynab Raeesy, Omar Zia Khan, and Abhinav Sethy · 2023
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URL https://huggingface.co/sentence-transformers/all-MiniLM-L6-v2
2024 · 2024
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Retrievalattention: Accelerating long-context llm inference via vector retrieval
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On the way to llm personalization: Learning to remember user conversations
Lucie Charlotte Magister, Katherine Metcalf, Yizhe Zhang, and Maartje ter Hoeve · 2024
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Adyasha Maharana, Dong-Ho Lee, Sergey Tulyakov, Mohit Bansal, Francesco Barbieri, and Yuwei Fang · 2024
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Memllm: Finetuning llms to use an explicit read-write memory
Ali Modarressi, Abdullatif Köksal, Ayyoob Imani, Mohsen Fayyaz, and Hinrich Schütze · 2024
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Optimization methods for personalizing large language models through retrieval augmentation
Alireza Salemi, Surya Kallumadi, and Hamed Zamani · 2024
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Chenkai Sun, Ke Yang, Revanth Gangi Reddy, Yi R Fung, Hou Pong Chan, Kevin Small, ChengXiang Zhai, and Heng Ji · 2024
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Democratizing large language models via personalized parameter-efficient fine-tuning
Zhaoxuan Tan, Qingkai Zeng, Yijun Tian, Zheyuan Liu, Bing Yin, and Meng Jiang · 2024
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Ai persona: Towards life-long personalization of llms, 2024
Tiannan Wang, Meiling Tao, Ruoyu Fang, Huilin Wang, Shuai Wang, Yuchen Eleanor Jiang, and Wangchunshu Zhou · 2024
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Autogen: Enabling next-gen llm applications via multi-agent conversations
A brain-inspired neurodynamic model for efficient sequence memory
Runchen Lai, Youjun Li, Fan Yang, Ying Li, Nan Yao, Chunwang Su, Si-Ping Zhang, Yuanyuan Mi, Celso Grebogi, and Zi-Gang Huang · 2025
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Zep: a temporal knowledge graph architecture for agent memory
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A survey on the memory mechanism of large language model based agents
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Memorybank: Enhancing large language models with long-term memory
Wanjun Zhong, Lianghong Guo, Qiqi Gao, He Ye, and Yanlin Wang · 2024
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Symbolic learning enables self-evolving agents
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URL https://docs.perplexity.ai/getting-started/models/models/sonar-deep-research
2025 · 2025
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Bowen Jiang, Zhuoqun Hao, Young-Min Cho, Bryan Li, Yuan Yuan, Sihao Chen, Lyle Ungar, Camillo J Taylor, and Dan Roth · 2025
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Personaagent: When large language model agents meet personalization at test time
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Mem1: Learning to synergize memory and reasoning for efficient long-horizon agents
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