reference.bib

% ===========================================================================
% reference.bib — User as Code: Executable Memory for Personalized Agents
% ===========================================================================

% ===========================================================================
% MEMORY SYSTEMS
% ===========================================================================

@article{chhikara2025mem0,
  title={Mem0: Building Production-Ready AI Agents with Scalable Long-Term Memory},
  author={Chhikara, Prateek and Khant, Dev and Aryan, Saket and Singh, Taranjeet and Yadav, Deshraj},
  journal={arXiv preprint arXiv:2504.19413},
  year={2025},
  note={ECAI 2025}
}

@article{xu2025amem,
  title={A-MEM: Agentic Memory for LLM Agents},
  author={Xu, Wujiang and Liang, Zujie and Mei, Kai and Gao, Hang and Tan, Juntao and Zhang, Yongfeng},
  journal={arXiv preprint arXiv:2502.12110},
  year={2025},
  note={NeurIPS 2025}
}

@article{rasmussen2025zep,
  title={Zep: A Temporal Knowledge Graph Architecture for Agent Memory},
  author={Rasmussen, Preston and Paliychuk, Pavlo and Beauvais, Travis and Ryan, Jack and Chalef, Daniel},
  journal={arXiv preprint arXiv:2501.13956},
  year={2025}
}

@article{latimer2025hindsight,
  title={Hindsight is 20/20: Building Agent Memory that Retains, Recalls, and Reflects},
  author={Latimer, Chris and Boschi, Nicol\'{o} and Neeser, Andrew and Bartholomew, Chris and Srivastava, Gaurav and Wang, Xuan and Ramakrishnan, Naren},
  journal={arXiv preprint arXiv:2512.12818},
  year={2025}
}

@article{patel2025engram,
  title={ENGRAM: Effective, Lightweight Memory Orchestration for Conversational Agents},
  author={Patel, Daivik and Patel, Shrenik},
  journal={arXiv preprint arXiv:2511.12960},
  year={2025}
}

@article{packer2023memgpt,
  title={MemGPT: Towards LLMs as Operating Systems},
  author={Packer, Charles and Wooders, Sarah and Lin, Kevin and Fang, Vivian and Patil, Shishir G. and Stoica, Ion and Gonzalez, Joseph E.},
  journal={arXiv preprint arXiv:2310.08560},
  year={2023}
}

@article{li2025memos,
  title={MemOS: An Operating System for Memory-Augmented Generation (MAG) in Large Language Models},
  author={Li, Zhiyu and Song, Shichao and Wang, Hanyu and Niu, Simin and Chen, Ding and Yang, Jiawei and Xi, Chenyang and Lai, Huayi and Zhao, Jihao and Wang, Yezhaohui and Ren, Junpeng and Lin, Zehao and Huo, Jiahao and Chen, Tianyi and Chen, Kai and Li, Kehang and Yin, Zhiqiang and Yu, Qingchen and Tang, Bo and Yang, Hongkang and Xu, Zhi-Qin John and Xiong, Feiyu},
  journal={arXiv preprint arXiv:2505.22101},
  year={2025}
}

@article{kang2025memoryos,
  title={Memory OS of AI Agent},
  author={Kang, Jiazheng and Ji, Mingming and Zhao, Zhe and Bai, Ting},
  journal={arXiv preprint arXiv:2506.06326},
  year={2025},
  note={EMNLP 2025 Oral}
}

@misc{memobase2025,
  title={Memobase: User Profile-Based Long-Term Memory for AI Chatbot Applications},
  author={{Memobase Team}},
  year={2025},
  howpublished={\url{https://github.com/memodb-io/memobase}},
  note={Open-source software}
}

@article{jiang2026magma,
  title={MAGMA: A Multi-Graph based Agentic Memory Architecture for AI Agents},
  author={Jiang, Dongming and Li, Yi and Li, Guanpeng and Li, Bingzhe},
  journal={arXiv preprint arXiv:2601.03236},
  year={2026},
  note={ACL 2026 Main Conference}
}

@article{sarin2025memoria,
  title={Memoria: A Scalable Agentic Memory Framework for Personalized Conversational AI},
  author={Sarin, Samarth and Singh, Lovepreet and Sarmah, Bhaskarjit and Mehta, Dhagash},
  journal={arXiv preprint arXiv:2512.12686},
  year={2025}
}

@article{you2026dmem,
  title={D-Mem: A Dual-Process Memory System for LLM Agents},
  author={You, Zhixing and Yuan, Jiachen and Cai, Jason},
  journal={arXiv preprint arXiv:2603.18631},
  year={2026}
}

@article{wang2026memmachine,
  title={MemMachine: A Ground-Truth-Preserving Memory System for Personalized AI Agents},
  author={Wang, Shu and Yu, Edwin and Love, Oscar and Zhang, Tom and Wong, Tom and Scargall, Steve and Fan, Charles},
  journal={arXiv preprint arXiv:2604.04853},
  year={2026}
}

@misc{langmem2025,
  title={LangMem SDK for Agent Long-Term Memory},
  author={{LangChain Team}},
  year={2025},
  howpublished={\url{https://github.com/langchain-ai/langmem}},
  note={Open-source software}
}

@article{zhang2025memengine,
  title={MemEngine: A Unified and Modular Library for Developing Advanced Memory of LLM-based Agents},
  author={Zhang, Zeyu and Dai, Quanyu and Chen, Xu and Li, Rui and Li, Zhongyang and Dong, Zhenhua},
  journal={arXiv preprint arXiv:2505.02099},
  year={2025},
  note={TheWebConf 2025 Resource Track}
}

@article{guo2026memfactory,
  title={MemFactory: Unified Inference \& Training Framework for Agent Memory},
  author={Guo, Ziliang and Li, Ziheng and Tang, Bo and Xiong, Feiyu and Li, Zhiyu},
  journal={arXiv preprint arXiv:2603.29493},
  year={2026}
}

@misc{cognee2024,
  title={Cognee: Knowledge Engine for AI Agent Memory},
  author={{Topoteretes}},
  year={2024},
  howpublished={\url{https://github.com/topoteretes/cognee}},
  note={Open-source software}
}

% ===========================================================================
% BENCHMARKS
% ===========================================================================

@article{maharana2024locomo,
  title={Evaluating Very Long-Term Conversational Memory of LLM Agents},
  author={Maharana, Adyasha and Lee, Dong-Ho and Tulyakov, Sergey and Bansal, Mohit and Barbieri, Francesco and Fang, Yuwei},
  journal={arXiv preprint arXiv:2402.17753},
  year={2024},
  note={ACL 2024}
}

@article{wu2025longmemeval,
  title={LongMemEval: Benchmarking Chat Assistants on Long-Term Interactive Memory},
  author={Wu, Di and Wang, Hongwei and Yu, Wenhao and Zhang, Yuwei and Chang, Kai-Wei and Yu, Dong},
  journal={arXiv preprint arXiv:2410.10813},
  year={2025},
  note={ICLR 2025}
}

@article{li2026locomoplus,
  title={Locomo-Plus: Beyond-Factual Cognitive Memory Evaluation Framework for LLM Agents},
  author={Li, Yifei and Guo, Weidong and Zhang, Lingling and Xu, Rongman and Huang, Muye and Liu, Hui and Xu, Lijiao and Xu, Yu and Liu, Jun},
  journal={arXiv preprint arXiv:2602.10715},
  year={2026}
}

@article{he2026memoryarena,
  title={MemoryArena: Benchmarking Agent Memory in Interdependent Multi-Session Agentic Tasks},
  author={He, Zexue and Wang, Yu and Zhi, Churan and Hu, Yuanzhe and Chen, Tzu-Ping and Yin, Lang and Chen, Ze and Wu, Tong Arthur and Ouyang, Siru and Wang, Zihan and Pei, Jiaxin and McAuley, Julian and Choi, Yejin and Pentland, Alex},
  journal={arXiv preprint arXiv:2602.16313},
  year={2026}
}

@article{cheng2026amemgym,
  title={AMemGym: Interactive Memory Benchmarking for Assistants in Long-Horizon Conversations},
  author={Cheng, Jiayang and Ru, Dongyu and Qiu, Lin and Li, Yiyang and Cao, Xuezhi and Song, Yangqiu and Cai, Xunliang},
  journal={arXiv preprint arXiv:2603.01966},
  year={2026},
  note={ICLR 2026}
}

@article{hu2025memoryagentbench,
  title={Evaluating Memory in LLM Agents via Incremental Multi-Turn Interactions},
  author={Hu, Yuanzhe and Wang, Yu and McAuley, Julian},
  journal={arXiv preprint arXiv:2507.05257},
  year={2025},
  note={ICLR 2026; introduces MemoryAgentBench}
}

@article{tang2026proagentbench,
  title={ProAgentBench: Evaluating LLM Agents for Proactive Assistance with Real-World Data},
  author={Tang, Yuanbo and Tang, Huaze and Cao, Tingyu and Nguyen, Lam and Zhang, Anping and Cao, Xinwen and Liu, Chunkang and Ding, Wenbo and Li, Yang},
  journal={arXiv preprint arXiv:2602.04482},
  year={2026}
}

@article{pulipaka2026persistbench,
  title={PersistBench: When Should Long-Term Memories Be Forgotten by LLMs?},
  author={Pulipaka, Sidharth and Chen, Oliver and Sharma, Manas and Bajwa, Taaha S and Raina, Vyas and Sheth, Ivaxi},
  journal={arXiv preprint arXiv:2602.01146},
  year={2026}
}

@article{chen2025halumem,
  title={HaluMem: Evaluating Hallucinations in Memory Systems of Agents},
  author={Chen, Ding and Niu, Simin and Li, Kehang and Liu, Peng and Zheng, Xiangping and Tang, Bo and Li, Xinchi and Xiong, Feiyu and Li, Zhiyu},
  journal={arXiv preprint arXiv:2511.03506},
  year={2025}
}

@article{ai2025memorybench,
  title={MemoryBench: A Benchmark for Memory and Continual Learning in LLM Systems},
  author={Ai, Qingyao and Tang, Yichen and Wang, Changyue and Long, Jianming and Su, Weihang and Liu, Yiqun},
  journal={arXiv preprint arXiv:2510.17281},
  year={2025}
}

@article{zhang2026memorycd,
  title={MemoryCD: Benchmarking Long-Context User Memory of LLM Agents for Lifelong Cross-Domain Personalization},
  author={Zhang, Weizhi and Wei, Xiaokai and Huang, Wei-Chieh and Hui, Zheng and Wang, Chen and Gong, Michelle and Yu, Philip S.},
  journal={arXiv preprint arXiv:2603.25973},
  year={2026}
}

@article{pakhomov2025convomem,
  title={Convomem Benchmark: Why Your First 150 Conversations Don't Need RAG},
  author={Pakhomov, Egor and Nijkamp, Erik and Xiong, Caiming},
  journal={arXiv preprint arXiv:2511.10523},
  year={2025}
}

@article{qin2026implicitmembench,
  title={ImplicitMemBench: Measuring Unconscious Behavioral Adaptation in Large Language Models},
  author={Qin, Chonghan and Feng, Xiachong and Ma, Weitao and Feng, Xiaocheng and Kong, Lingpeng},
  journal={arXiv preprint arXiv:2604.08064},
  year={2026},
  note={ACL 2026 Main Conference}
}

@article{cheng2026lifebench,
  title={LifeBench: A Benchmark for Long-Horizon Multi-Source Memory},
  author={Cheng, Zihao and Wang, Weixin and Zhao, Yu and Ren, Ziyang and Chen, Jiaxuan and Xu, Ruiyang and Huang, Shuai and Chen, Yang and Li, Guowei and Wang, Mengshi and Xie, Yi and Zhu, Ren and Jiang, Zeren and Lu, Keda and Li, Yihong and Wang, Xiaoliang and Liu, Liwei and Nguyen, Cam-Tu},
  journal={arXiv preprint arXiv:2603.03781},
  year={2026}
}

@article{xiao2026alpsbench,
  title={AlpsBench: An LLM Personalization Benchmark for Real-Dialogue Memorization and Preference Alignment},
  author={Xiao, Jianfei and Yu, Xiang and Wang, Chengbing and Zheng, Wuqiang and Lin, Xinyu and Liu, Kaining and Ding, Hongxun and Zhang, Yang and Wang, Wenjie and Feng, Fuli and He, Xiangnan},
  journal={arXiv preprint arXiv:2603.26680},
  year={2026}
}

@article{jiang2025personamemv2,
  title={PersonaMem-v2: Towards Personalized Intelligence via Learning Implicit User Personas and Agentic Memory},
  author={Jiang, Bowen and Yuan, Yuan and Shen, Maohao and Hao, Zhuoqun and Xu, Zhangchen and Chen, Zichen and Liu, Ziyi and Vijjini, Anvesh Rao and He, Jiashu and Yu, Hanchao and Poovendran, Radha and Wornell, Gregory and Ungar, Lyle and Roth, Dan and Chen, Sihao and Taylor, Camillo Jose},
  journal={arXiv preprint arXiv:2512.06688},
  year={2025}
}

@article{tan2025membench,
  title={MemBench: Towards More Comprehensive Evaluation on the Memory of LLM-based Agents},
  author={Tan, Haoran and Zhang, Zeyu and Ma, Chen and Chen, Xu and Dai, Quanyu and Dong, Zhenhua},
  journal={arXiv preprint arXiv:2506.21605},
  year={2025},
  note={ACL 2025 Findings}
}

% ===========================================================================
% RL-BASED MEMORY
% ===========================================================================

@article{yan2025memoryr1,
  title={Memory-R1: Enhancing Large Language Model Agents to Manage and Utilize Memories via Reinforcement Learning},
  author={Yan, Sikuan and Yang, Xiufeng and Huang, Zuchao and Nie, Ercong and Ding, Zifeng and Li, Zonggen and Ma, Xiaowen and Bi, Jinhe and Kersting, Kristian and Pan, Jeff Z. and Sch\"{u}tze, Hinrich and Tresp, Volker and Ma, Yunpu},
  journal={arXiv preprint arXiv:2508.19828},
  year={2025}
}

@article{yu2026agemem,
  title={Agentic Memory: Learning Unified Long-Term and Short-Term Memory Management for Large Language Model Agents},
  author={Yu, Yi and Yao, Liuyi and Xie, Yuexiang and Tan, Qingquan and Feng, Jiaqi and Li, Yaliang and Wu, Libing},
  journal={arXiv preprint arXiv:2601.01885},
  year={2026}
}

@article{wang2025memalpha,
  title={Mem-$\alpha$: Learning Memory Construction via Reinforcement Learning},
  author={Wang, Yu and Takanobu, Ryuichi and Liang, Zhiqi and Mao, Yuzhen and Hu, Yuanzhe and McAuley, Julian and Wu, Xiaojian},
  journal={arXiv preprint arXiv:2509.25911},
  year={2025}
}

@article{yuan2025memsearcher,
  title={MemSearcher: Training LLMs to Reason, Search and Manage Memory via End-to-End Reinforcement Learning},
  author={Yuan, Qianhao and Lou, Jie and Li, Zichao and Chen, Jiawei and Lu, Yaojie and Lin, Hongyu and Sun, Le and Zhang, Debing and Han, Xianpei},
  journal={arXiv preprint arXiv:2511.02805},
  year={2025}
}

@article{bini2025memlora,
  title={MemLoRA: Distilling Expert Adapters for On-Device Memory Systems},
  author={Bini, Massimo and Bohdal, Ondrej and Michieli, Umberto and Akata, Zeynep and Ozay, Mete and Ceritli, Taha},
  journal={arXiv preprint arXiv:2512.04763},
  year={2025}
}

% ===========================================================================
% COGNITIVE APPROACHES
% ===========================================================================

@article{wei2026fademem,
  title={FadeMem: Biologically-Inspired Forgetting for Efficient Agent Memory},
  author={Wei, Lei and Peng, Xiao and Dong, Xu and Xie, Niantao and Wang, Bin},
  journal={arXiv preprint arXiv:2601.18642},
  year={2026}
}

@article{fang2025lightmem,
  title={LightMem: Lightweight and Efficient Memory-Augmented Generation},
  author={Fang, Jizhan and Deng, Xinle and Xu, Haoming and Jiang, Ziyan and Tang, Yuqi and Xu, Ziwen and Deng, Shumin and Yao, Yunzhi and Wang, Mengru and Qiao, Shuofei and Chen, Huajun and Zhang, Ningyu},
  journal={arXiv preprint arXiv:2510.18866},
  year={2025},
  note={ICLR 2026}
}

@article{hu2026evermemos,
  title={EverMemOS: A Self-Organizing Memory Operating System for Structured Long-Horizon Reasoning},
  author={Hu, Chuanrui and Gao, Xingze and Zhou, Zuyi and Xu, Dannong and Bai, Yi and Li, Xintong and Zhang, Hui and Li, Tong and Zhang, Chong and Bing, Lidong and Deng, Yafeng},
  journal={arXiv preprint arXiv:2601.02163},
  year={2026}
}

@article{bhardwaj2026superlocalmemory,
  title={SuperLocalMemory V3.3: The Living Brain -- Biologically-Inspired Forgetting, Cognitive Quantization, and Multi-Channel Retrieval for Zero-LLM Agent Memory Systems},
  author={Bhardwaj, Varun Pratap},
  journal={arXiv preprint arXiv:2604.04514},
  year={2026}
}

% ===========================================================================
% SURVEYS
% ===========================================================================

@article{hu2025memoryage,
  title={Memory in the Age of AI Agents},
  author={Hu, Yuyang and Liu, Shichun and Yue, Yanwei and Zhang, Guibin and Liu, Boyang and Zhu, Fangyi and Lin, Jiahang and Guo, Honglin and Dou, Shihan and Xi, Zhiheng and Jin, Senjie and Tan, Jiejun and Yin, Yanbin and Liu, Jiongnan and Zhang, Zeyu and Sun, Zhongxiang and Zhu, Yutao and Sun, Hao and Peng, Boci and Cheng, Zhenrong and Fan, Xuanbo and Guo, Jiaxin and Yu, Xinlei and Zhou, Zhenhong and Hu, Zewen and Huo, Jiahao and Wang, Junhao and Niu, Yuwei and Wang, Yu and Yin, Zhenfei and Hu, Xiaobin and Liao, Yue and Li, Qiankun and Wang, Kun and Zhou, Wangchunshu and Liu, Yixin and Cheng, Dawei and Zhang, Qi and Gui, Tao and Pan, Shirui and Zhang, Yan and Torr, Philip and Dou, Zhicheng and Wen, Ji-Rong and Huang, Xuanjing and Jiang, Yu-Gang and Yan, Shuicheng},
  journal={arXiv preprint arXiv:2512.13564},
  year={2025}
}

@article{du2026memorysurvey,
  title={Memory for Autonomous LLM Agents: Mechanisms, Evaluation, and Emerging Frontiers},
  author={Du, Pengfei},
  journal={arXiv preprint arXiv:2603.07670},
  year={2026}
}

@article{yang2026graphmemory,
  title={Graph-based Agent Memory: Taxonomy, Techniques, and Applications},
  author={Yang, Chang and Zhou, Chuang and Xiao, Yilin and Dong, Su and Zhuang, Luyao and Zhang, Yujing and Wang, Zhu and Hong, Zijin and Yuan, Zheng and Xiang, Zhishang and Chen, Shengyuan and Zhou, Huachi and Zhang, Qinggang and Liu, Ninghao and Su, Jinsong and Wang, Xinrun and Chang, Yi and Huang, Xiao},
  journal={arXiv preprint arXiv:2602.05665},
  year={2026}
}

@article{wu2025humantoai,
  title={From Human Memory to AI Memory: A Survey on Memory Mechanisms in the Era of LLMs},
  author={Wu, Yaxiong and Liang, Sheng and Zhang, Chen and Wang, Yichao and Zhang, Yongyue and Guo, Huifeng and Tang, Ruiming and Liu, Yong},
  journal={arXiv preprint arXiv:2504.15965},
  year={2025}
}

@article{zhang2024memorysurvey,
  title={A Survey on the Memory Mechanism of Large Language Model based Agents},
  author={Zhang, Zeyu and Bo, Xiaohe and Ma, Chen and Li, Rui and Chen, Xu and Dai, Quanyu and Zhu, Jieming and Dong, Zhenhua and Wen, Ji-Rong},
  journal={arXiv preprint arXiv:2404.13501},
  year={2024}
}

% ===========================================================================
% CODE AS A REPRESENTATION / EXECUTABLE ACTIONS
% ===========================================================================

@inproceedings{wang2024codeact,
  title={Executable Code Actions Elicit Better LLM Agents},
  author={Wang, Xingyao and Chen, Yangyi and Yuan, Lifan and Zhang, Yizhe and Li, Yunzhu and Peng, Hao and Ji, Heng},
  booktitle={Proceedings of the 41st International Conference on Machine Learning (ICML)},
  year={2024},
  note={arXiv:2402.01030}
}

@article{wang2024voyager,
  title={Voyager: An Open-Ended Embodied Agent with Large Language Models},
  author={Wang, Guanzhi and Xie, Yuqi and Jiang, Yunfan and Mandlekar, Ajay and Xiao, Chaowei and Zhu, Yuke and Fan, Linxi and Anandkumar, Anima},
  journal={Transactions on Machine Learning Research (TMLR)},
  year={2024},
  note={arXiv:2305.16291}
}

@inproceedings{liang2023codeaspolicies,
  title={Code as Policies: Language Model Programs for Embodied Control},
  author={Liang, Jacky and Huang, Wenlong and Xia, Fei and Xu, Peng and Hausman, Karol and Ichter, Brian and Florence, Pete and Zeng, Andy},
  booktitle={IEEE International Conference on Robotics and Automation (ICRA)},
  year={2023},
  note={arXiv:2209.07753}
}

@article{chen2023pot,
  title={Program of Thoughts Prompting: Disentangling Computation from Reasoning for Numerical Reasoning Tasks},
  author={Chen, Wenhu and Ma, Xueguang and Wang, Xinyi and Cohen, William W.},
  journal={Transactions on Machine Learning Research (TMLR)},
  year={2023},
  note={arXiv:2211.12588}
}

@inproceedings{gao2023pal,
  title={PAL: Program-aided Language Models},
  author={Gao, Luyu and Madaan, Aman and Zhou, Shuyan and Alon, Uri and Liu, Pengfei and Yang, Yiming and Callan, Jamie and Neubig, Graham},
  booktitle={Proceedings of the 40th International Conference on Machine Learning (ICML)},
  year={2023},
  note={arXiv:2211.10435}
}

@inproceedings{madaan2022cocogen,
  title={Language Models of Code are Few-Shot Commonsense Learners},
  author={Madaan, Aman and Zhou, Shuyan and Alon, Uri and Yang, Yiming and Neubig, Graham},
  booktitle={Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing (EMNLP)},
  year={2022},
  note={arXiv:2210.07128}
}

@inproceedings{li2024chainofcode,
  title={Chain of Code: Reasoning with a Language Model-Augmented Code Emulator},
  author={Li, Chengshu and Liang, Jacky and Zeng, Andy and Chen, Xinyun and Hausman, Karol and Sadigh, Dorsa and Levine, Sergey and Fei-Fei, Li and Xia, Fei and Ichter, Brian},
  booktitle={Proceedings of the 41st International Conference on Machine Learning (ICML)},
  year={2024},
  note={arXiv:2312.04474}
}

@article{wang2024trove,
  title={TroVE: Inducing Verifiable and Efficient Toolboxes for Solving Programmatic Tasks},
  author={Wang, Zhiruo and Fried, Daniel and Neubig, Graham},
  journal={arXiv preprint arXiv:2401.12869},
  year={2024}
}

@article{cai2023latm,
  title={Large Language Models as Tool Makers},
  author={Cai, Tianle and Wang, Xuezhi and Ma, Tengyu and Chen, Xinyun and Zhou, Denny},
  journal={arXiv preprint arXiv:2305.17126},
  year={2023}
}

@article{mi2026skillpro,
  title={Skill-Pro: Learning Reusable Skills from Experience via Non-Parametric PPO for LLM Agents},
  author={Mi, Qirui and Ma, Zhijian and Yang, Mengyue and Li, Haoxuan and Wang, Yisen and Zhang, Haifeng and Wang, Jun},
  journal={arXiv preprint arXiv:2602.01869},
  year={2026},
  note={ICML 2026}
}

@article{akinfaderin2025verafi,
  title={VERAFI: Verified Agentic Financial Intelligence through Neurosymbolic Policy Generation},
  author={Akinfaderin, Adewale and Subramanian, Shreyas},
  journal={arXiv preprint arXiv:2512.14744},
  year={2025}
}

@article{lu2025proactive,
  title={Proactive Agent: Shifting LLM Agents from Reactive Responses to Active Assistance},
  author={Lu, Yaxi and Yang, Shenzhi and Qian, Cheng and Chen, Guirong and Luo, Qinyu and Wu, Yesai and Wang, Huadong and Cong, Xin and Zhang, Zhong and Lin, Yankai and Liu, Weiwen and Wang, Yasheng and Liu, Zhiyuan and Liu, Fangming and Sun, Maosong},
  journal={arXiv preprint arXiv:2410.12361},
  year={2024}
}

% ===========================================================================
% AGENT FOUNDATIONS
% ===========================================================================

@inproceedings{yao2023react,
  title={ReAct: Synergizing Reasoning and Acting in Language Models},
  author={Yao, Shunyu and Zhao, Jeffrey and Yu, Dian and Du, Nan and Shafran, Izhak and Narasimhan, Karthik and Cao, Yuan},
  booktitle={International Conference on Learning Representations (ICLR)},
  year={2023},
  note={arXiv:2210.03629}
}

@inproceedings{shinn2023reflexion,
  title={Reflexion: Language Agents with Verbal Reinforcement Learning},
  author={Shinn, Noah and Cassano, Federico and Berman, Edward and Gopinath, Ashwin and Narasimhan, Karthik and Yao, Shunyu},
  booktitle={Advances in Neural Information Processing Systems (NeurIPS)},
  year={2023},
  note={arXiv:2303.11366}
}

% ===========================================================================
% RETRIEVAL & EVALUATION FOUNDATIONS
% ===========================================================================

@inproceedings{lewis2020rag,
  title={Retrieval-Augmented Generation for Knowledge-Intensive NLP Tasks},
  author={Lewis, Patrick and Perez, Ethan and Piktus, Aleksandra and Petroni, Fabio and Karpukhin, Vladimir and Goyal, Naman and K\"{u}ttler, Heinrich and Lewis, Mike and Yih, Wen-tau and Rockt\"{a}schel, Tim and Riedel, Sebastian and Kiela, Douwe},
  booktitle={Advances in Neural Information Processing Systems (NeurIPS)},
  year={2020},
  note={arXiv:2005.11401}
}

@inproceedings{zheng2023mtbench,
  title={Judging LLM-as-a-Judge with MT-Bench and Chatbot Arena},
  author={Zheng, Lianmin and Chiang, Wei-Lin and Sheng, Ying and Zhuang, Siyuan and Wu, Zhanghao and Zhuang, Yonghao and Lin, Zi and Li, Zhuohan and Li, Dacheng and Xing, Eric P. and Zhang, Hao and Gonzalez, Joseph E. and Stoica, Ion},
  booktitle={Advances in Neural Information Processing Systems (NeurIPS) Datasets and Benchmarks Track},
  year={2023},
  note={arXiv:2306.05685}
}

% ===========================================================================
% PERSONALIZATION
% ===========================================================================

@article{zhang2024personalization,
  title={Personalization of Large Language Models: A Survey},
  author={Zhang, Zhehao and Rossi, Ryan A. and Kveton, Branislav and Shao, Yijia and Yang, Diyi and Zamani, Hamed and Dernoncourt, Franck and Barrow, Joe and Yu, Tong and Kim, Sungchul and Zhang, Ruiyi and Gu, Jiuxiang and Derr, Tyler and Chen, Hongjie and Wu, Junda and Chen, Xiang and Wang, Zichao and Mitra, Subrata and Lipka, Nedim and Ahmed, Nesreen and Wang, Yu},
  journal={arXiv preprint arXiv:2411.00027},
  year={2024}
}

@article{liu2025personalizedllm,
  title={A Survey of Personalized Large Language Models: Progress and Future Directions},
  author={Liu, Jiahong and Qiu, Zexuan and Li, Zhongyang and Dai, Quanyu and Yu, Wenhao and Zhu, Jieming and Hu, Minda and Yang, Menglin and Chua, Tat-Seng and King, Irwin},
  journal={arXiv preprint arXiv:2502.11528},
  year={2025}
}

@article{xu2026personalizedagents,
  title={Toward Personalized LLM-Powered Agents: Foundations, Evaluation, and Future Directions},
  author={Xu, Yue and Chen, Qian and Ma, Zizhan and Liu, Dongrui and Wang, Wenxuan and Wang, Xiting and Xiong, Li and Wang, Wenjie},
  journal={arXiv preprint arXiv:2602.22680},
  year={2026}
}

% ===========================================================================
% OTHER
% ===========================================================================

@article{pollertlam2026beyondcontext,
  title={Beyond the Context Window: A Cost-Performance Analysis of Fact-Based Memory vs. Long-Context LLMs for Persistent Agents},
  author={Pollertlam, Natchanon and Kornsuwannawit, Witchayut},
  journal={arXiv preprint arXiv:2603.04814},
  year={2026}
}

@misc{sutton2019bitter,
  title={The Bitter Lesson},
  author={Sutton, Richard},
  year={2019},
  howpublished={\url{http://www.incompleteideas.net/IncIdeas/BitterLesson.html}},
  note={Blog post, March 13, 2019}
}

@inproceedings{park2023generative,
  title={Generative Agents: Interactive Simulacra of Human Behavior},
  author={Park, Joon Sung and O'Brien, Joseph C. and Cai, Carrie J. and Morris, Meredith Ringel and Liang, Percy and Bernstein, Michael S.},
  booktitle={Proceedings of the 36th Annual ACM Symposium on User Interface Software and Technology (UIST)},
  year={2023},
  doi={10.1145/3586183.3606763}
}