Long Time No See! Open-Domain Conversation with Long-Term Persona Memory
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Cited by 21 in LLM agents and tool use, but placed by its own abstract, which didn’t fit.
Abstract (arXiv)
Most of the open-domain dialogue models tend to perform poorly in the setting of long-term human-bot conversations. The possible reason is that they lack the capability of understanding and memorizing long-term dialogue history information. To address this issue, we present a novel task of Long-term Memory Conversation (LeMon) and then build a new dialogue dataset DuLeMon and a dialogue generation framework with Long-Term Memory (LTM) mechanism (called PLATO-LTM). This LTM mechanism enables our system to accurately extract and continuously update long-term persona memory without requiring multiple-session dialogue datasets for model training. To our knowledge, this is the first attempt to conduct real-time dynamic management of persona information of both parties, including the user and the bot. Results on DuLeMon indicate that PLATO-LTM can significantly outperform baselines in terms of long-term dialogue consistency, leading to better dialogue engagingness.
Key facts. Cited by 107 papers in the map (data through 7 Oct 2026). Builds on 20 of its 29 references that are in the map. First posted on arXiv 11 Mar 2022.
Builds on
20 of 29 references.
References · 20
- 2017Attention Is All You Needcited by 59,932
- 2014Adam: A Method for Stochastic Optimizationcited by 36,960
- 2014Convolutional Neural Networks for Sentence Classificationcited by 1,124
- 2018Personalizing Dialogue Agents: I have a dog, do you have pets too?cited by 820
- 2020Recipes for building an open-domain chatbotcited by 593
- 2020Towards a Human-like Open-Domain Chatbotcited by 467
- 2016Deep Reinforcement Learning for Dialogue Generationcited by 286
- 2021Beyond Goldfish Memory: Long-Term Open-Domain Conversationcited by 266
- 2019ERNIE 2.0: A Continual Pre-training Framework for Language Understandingcited by 230
- 2017Learning Discourse-level Diversity for Neural Dialog Models using Conditional Variational Autoencoderscited by 222
- 2016A Persona-Based Neural Conversation Modelcited by 221
- 2019The Second Conversational Intelligence Challenge (ConvAI2)cited by 178
8 more
- 2019Challenges in Building Intelligent Open-domain Dialog Systemscited by 147
- 2018Training Millions of Personalized Dialogue Agentscited by 126
- 2020PLATO-2: Towards Building an Open-Domain Chatbot via Curriculum Learningcited by 79
- 2019Personalized Dialogue Generation with Diversified Traitscited by 73
- 2020Towards Persona-Based Empathetic Conversational Modelscited by 53
- 2021PLATO-XL: Exploring the Large-scale Pre-training of Dialogue Generationcited by 37
- 2020XPersona: Evaluating Multilingual Personalized Chatbotcited by 36
- 2017Neural Personalized Response Generation as Domain Adaptationcited by 19
Built on by
Citing papers per year: 2022: 3; 2023: 31; 2024: 34; 2025: 21; 2026: 18.
107 papers.
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- 2026From Recall to Forgetting: Benchmarking Long-Term Memory for Personalized Agents21 Apr 2026
- 2026Toward Personalized LLM-Powered Agents: Foundations, Evaluation, and Future Directions26 Feb 2026
- 2026ES-MemEval: Benchmarking Conversational Agents on Personalized Long-Term Emotional Support2 Feb 2026
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- 2025CAIM: Development and Evaluation of a Cognitive AI Memory Framework for Long-Term Interaction with Intelligent Agents19 May 2025
- 2025Lifelong Learning of Large Language Model based Agents: A Roadmap13 Jan 2025
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- 2024A Survey on Recent Advances in LLM-Based Multi-turn Dialogue Systemscited by 170
- 2025Know Me, Respond to Me: Benchmarking LLMs for Dynamic User Profiling and Personalized Responses at Scalecited by 163
- 2023MemoChat: Tuning LLMs to Use Memos for Consistent Long-Range Open-Domain Conversationcited by 94
- 2022Keep Me Updated! Memory Management in Long-term Conversationscited by 62
- 2023Recursively Summarizing Enables Long-Term Dialogue Memory in Large Language Modelscited by 62
- 2023You don't need a personality test to know these models are unreliable: Assessing the Reliability of Large Language Models on Psychometric Instrumentscited by 48
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- 2026To Memories and Beyond: From Remembering to Knowing You across Long-Term Multimodal Personal Archives11 Sep 2026
- 2026Aplaud: Adaptive Personalized Low-Rank Decomposition for User-Specific LLM4 Sep 2026
- 2026PHASE-Tree: Modeling Character-State Evolution in Long-Horizon Role-Playing Dialogue7 Aug 2026
- 2026Evaluating Language Models in Realistic Conversational Contexts24 Jun 2026
- 2026T-Mem: Memory That Anticipates, Not Archives13 Jun 2026
- 2026HingeMem: Boundary Guided Long-Term Memory with Query Adaptive Retrieval for Scalable Dialogues8 Apr 2026
- 2026FileGram: Grounding Agent Personalization in File-System Behavioral Traces6 Apr 2026
- 2026Proactive Memory for Ad-Hoc Recall over Streaming Dialogues5 Mar 2026
- 2026Generation-Based and Emotion-Reflected Memory Update: Creating the KEEM Dataset for Better Long-Term Conversation9 Jan 2026
- 2026MultiSessionCollab: Learning User Preferences with Memory to Improve Long-Term Collaboration6 Jan 2026
- 2025Persistent Personas? Role-Playing, Instruction Following, and Safety in Extended Interactions14 Dec 2025
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