--- title: "Who cites Hello Again! LLM-powered — 38 citing papers" description: "38 papers of the Elamur Research library cite «Hello Again! LLM-powered Personalized Agent for Long-term Dialogue», found in their…" canonical: "https://research.elamur.ai/free/en/papers/li-2025-hello-again-llm-powered-personalized/cited-by/" --- [Elamur Research](https://md.research.elamur.ai/free/en/) · [this page in HTML](https://research.elamur.ai/free/en/papers/li-2025-hello-again-llm-powered-personalized/cited-by/) [home](https://md.research.elamur.ai/free/en/) / [papers](https://md.research.elamur.ai/free/en/papers/) / [Hello Again! LLM-powered Personalized Agent for…](https://md.research.elamur.ai/free/en/papers/li-2025-hello-again-llm-powered-personalized/) / cited by # Who cites «Hello Again! LLM-powered Personalized Agent for Long-term Dialogue» 38 papers of our library cite it (of the 149,439 whose bibliographies we read) · 16 with a page here, the most cited first · [← back to «Hello Again! LLM-powered Personalized Agent for Long-term Dialogue»](https://md.research.elamur.ai/free/en/papers/li-2025-hello-again-llm-powered-personalized/) 1. [**LongMemEval: Benchmarking Chat Assistants on Long-Term Interactive Memory arXiv:2410.10813**Di Wu, Hongwei Wang, Wenhao Yu, et al.*2024 · 95 citations*](https://md.research.elamur.ai/free/en/papers/wu-2024-longmemeval-benchmarking-chat-assistants-long/) 2. **[Memory OS of AI Agent](https://md.research.elamur.ai/free/en/papers/kang-2025-memory-os-ai-agent/) [Conference on Empirical Methods in Natural Language Processing (EMNLP)](https://md.research.elamur.ai/free/en/venues/emnlp/)**Jiazheng Kang, Mingming Ji, Zhe Zhao, et al.*2025 · 55 citations* 3. **[In Prospect and Retrospect: Reflective Memory Management for Long-term Personalized Dialogue Agents](https://md.research.elamur.ai/free/en/papers/tan-2025-prospect-retrospect-reflective-memory-management/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Zhen Tan, Jun Yan, I-Hung Hsu, et al.*2025 · 46 citations* 4. **[Agentic Memory: Learning Unified Long-Term and Short-Term Memory Management for Large Language Model Agents](https://md.research.elamur.ai/free/en/papers/yu-2026-agentic-memory-learning-unified-long/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Yi Yu, Liuyi Yao, Yuexiang Xie, et al.*2026 · 6 citations* 5. **[ProactiveEval: A Unified Evaluation Framework for Proactive Dialogue Agents](https://md.research.elamur.ai/free/en/papers/liu-2026-proactiveeval-unified-evaluation-framework-proactive/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Tianjian Liu, Fanqi Wan, Jiajian Guo, et al.*2026 · 3 citations* 6. **[Beyond Dialogue Time: Temporal Semantic Memory for Personalized LLM Agents](https://md.research.elamur.ai/free/en/papers/su-2026-beyond-dialogue-time-temporal-semantic/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Miao Su, Yucan Guo, Zhongni Hou, et al.*2026 · 2 citations* 7. **[Quantifying the Impact of Structured Output Format on Large Language Models through Causal Inference](https://md.research.elamur.ai/free/en/papers/yuan-2026-quantifying-impact-structured-output-format/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Han Yuan, Yue Zhao, Li Zhang, et al.*2026 · 2 citations* 8. **[PAC-BENCH: Evaluating Multi-Agent Collaboration under Privacy Constraints](https://md.research.elamur.ai/free/en/papers/park-2026-pac-bench-evaluating-multi-agent/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Minjun Park, Donghyun Kim, Hyeonjong Ju, et al.*2026 · 1 citation* 9. **[User Perceptions vs. Proxy LLM Judges: Privacy and Helpfulness in LLM Responses to Privacy-Sensitive Scenarios](https://md.research.elamur.ai/free/en/papers/wu-2026-user-perceptions-vs-proxy-llm/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Xiaoyuan Wu, Roshni Kaushik, Wenkai Li, et al.*2026 · 1 citation* 10. **[D2PCM:A Multi-Turn Dialogue Dataset with Personalized Contextual Memory](https://md.research.elamur.ai/free/en/papers/yang-2026-d2pcm-multi-turn-dialogue-dataset/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Zhe Yang, Yi Huang, Yaqin Chen, et al.*2026* 11. **[DaMo: Data Mixing Optimizer in Fine-tuning Multimodal LLMs for Mobile Phone Agents](https://md.research.elamur.ai/free/en/papers/shi-2026-damo-data-mixing-optimizer-fine/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Kai Shi, Jun Yang, Ni Yang, et al.*2026* 12. **[EventWeave: A Dynamic Framework for Capturing Core and Supporting Events in Dialogue Systems](https://md.research.elamur.ai/free/en/papers/zhao-2026-eventweave-dynamic-framework-capturing-core/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Zhengyi Zhao, Shubo Zhang, Yiming Du, et al.*2026* 13. **[IceBreaker for Conversational Agents: Breaking the First-Message Barrier with Personalized Starters](https://md.research.elamur.ai/free/en/papers/zheng-2026-icebreaker-conversational-agents-breaking-first/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Hongwei Zheng, Weiqi Wu, Zhengjia Wang, et al.*2026* 14. **[Learning How and What to Memorize: Cognition-Inspired Two-Stage Optimization for Evolving Memory](https://md.research.elamur.ai/free/en/papers/xu-2026-learning-how-what-memorize-cognition/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Derong Xu, Shuochen Liu, Pengfei Luo, et al.*2026* 15. **[MENTOR: Mitigating Identity Drift in Dynamic Role-Playing via Dual-Chain Structured Memory](https://md.research.elamur.ai/free/en/papers/zhuoning-2026-mentor-mitigating-identity-drift-dynamic/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Zhu Zhuoning, Xingyu Gao, Hailong Shi*2026* 16. **[What Deserves Memory: Adaptive Memory Distillation for LLM Agents](https://md.research.elamur.ai/free/en/papers/ma-2026-what-deserves-memory-adaptive-memory/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Wenquan Ma, Jiayan Nan, WenLong Wu*2026* 22 more papers of our library cite it; they have no page here yet. - [← back to](https://md.research.elamur.ai/free/en/papers/li-2025-hello-again-llm-powered-personalized/) — Hello Again! LLM-powered Personalized Agent for Long-term Dialogue