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Personalizing Dialogue Agents via Meta-Learning

arXiv 1905.10033 ↗First posted 24 May 2019cs.CL cs.AIcited by 83

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Abstract (arXiv)

Existing personalized dialogue models use human designed persona descriptions to improve dialogue consistency. Collecting such descriptions from existing dialogues is expensive and requires hand-crafted feature designs. In this paper, we propose to extend Model-Agnostic Meta-Learning (MAML)(Finn et al., 2017) to personalized dialogue learning without using any persona descriptions. Our model learns to quickly adapt to new personas by leveraging only a few dialogue samples collected from the same user, which is fundamentally different from conditioning the response on the persona descriptions. Empirical results on Persona-chat dataset (Zhang et al., 2018) indicate that our solution outperforms non-meta-learning baselines using automatic evaluation metrics, and in terms of human-evaluated fluency and consistency.

Key facts. Cited by 83 papers in the map (data through 7 Oct 2026). First posted on arXiv 24 May 2019.

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Cited by year (2026 to 7 Oct)

Citing papers per year: 2021: 18; 2022: 10; 2023: 19; 2024: 16; 2025: 15; 2026: 5.

83 papers.

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  1. 2022Survey of Hallucination in Natural Language Generationcited by 2,056
  2. 2023Tool Learning with Foundation Modelscited by 302
  3. 2024A Survey on Recent Advances in LLM-Based Multi-turn Dialogue Systemscited by 170
  4. 2021Recent Advances in Deep Learning Based Dialogue Systems: A Systematic Surveycited by 130
  5. 2023Personalisation within bounds: A risk taxonomy and policy framework for the alignment of large language models with personalised feedbackcited by 86
  6. 2021BoB: BERT Over BERT for Training Persona-based Dialogue Models from Limited Personalized Datacited by 75
  7. 2023Advances and Challenges in Meta-Learning: A Technical Reviewcited by 65
  8. 2024UniMS-RAG: A Unified Multi-source Retrieval-Augmented Generation for Personalized Dialogue Systemscited by 38
  9. 2025Know You First and Be You Better: Modeling Human-Like User Simulators via Implicit Profilescited by 38
  10. 2025LLM-Based Human-Agent Collaboration and Interaction Systems: A Surveycited by 28
  11. 2022Meta Learning for Natural Language Processing: A Surveycited by 26
  12. 2025PersonaBench: Evaluating AI Models on Understanding Personal Information through Accessing (Synthetic) Private User Datacited by 26
38 more
  1. 2022A Model-Agnostic Data Manipulation Method for Persona-based Dialogue Generationcited by 25
  2. 2023Enhancing Personalized Dialogue Generation with Contrastive Latent Variables: Combining Sparse and Dense Personacited by 24
  3. 2023Prompting Large Language Models with Chain-of-Thought for Few-Shot Knowledge Base Question Generationcited by 21
  4. 2024Personalized Text Generation with Fine-Grained Linguistic Controlcited by 20
  5. 2024Recent Trends in Personalized Dialogue Generation: A Review of Datasets, Methodologies, and Evaluationscited by 19
  6. 2021Refocusing on Relevance: Personalization in NLGcited by 18
  7. 2024IQA-EVAL: Automatic Evaluation of Human-Model Interactive Question Answeringcited by 18
  8. 2023Learning to Memorize Entailment and Discourse Relations for Persona-Consistent Dialoguescited by 17
  9. 2023Towards Robust Personalized Dialogue Generation via Order-Insensitive Representation Regularizationcited by 17
  10. 2021Meta-Transfer Learning for Low-Resource Abstractive Summarizationcited by 14
  11. 2022Meta-Learning the Difference: Preparing Large Language Models for Efficient Adaptationcited by 14
  12. 2022Is Bayesian Model-Agnostic Meta Learning Better than Model-Agnostic Meta Learning, Provably?cited by 13
  13. 2021Learning to Predict Persona Information forDialogue Personalization without Explicit Persona Descriptioncited by 12
  14. 2024PersoBench: Benchmarking Personalized Response Generation in Large Language Modelscited by 12
  15. 2023SimOAP: Improve Coherence and Consistency in Persona-based Dialogue Generation via Over-sampling and Post-evaluationcited by 11
  16. 2021Transferable Persona-Grounded Dialogues via Grounded Minimal Editscited by 10
  17. 2025Embedding-to-Prefix: Parameter-Efficient Personalization for Pre-Trained Large Language Modelscited by 10
  18. 2024StreamingDialogue: Prolonged Dialogue Learning via Long Context Compression with Minimal Lossescited by 9
  19. 2025Improving Language Model Personas via Rationalization with Psychological Scaffoldscited by 9
  20. 2021A Cooperative Memory Network for Personalized Task-oriented Dialogue Systems with Incomplete User Profilescited by 8
  21. 2021Bilateral Personalized Dialogue Generation with Contrastive Learningcited by 8
  22. 2021Generating Personalized Dialogue via Multi-Task Meta-Learningcited by 8
  23. 2022Improving Meta-learning for Low-resource Text Classification and Generation via Memory Imitationcited by 8
  24. 2023PersonaPKT: Building Personalized Dialogue Agents via Parameter-efficient Knowledge Transfercited by 8
  25. 2024Improving Large Language Model (LLM) fidelity through context-aware grounding: A systematic approach to reliability and veracitycited by 8
  26. 2023Personalizing Task-oriented Dialog Systems via Zero-shot Generalizable Reward Functioncited by 7
  27. 2023Seen to Unseen: Exploring Compositional Generalization of Multi-Attribute Controllable Dialogue Generationcited by 7
  28. 2021Towards Standard Criteria for human evaluation of Chatbots: A Surveycited by 6
  29. 2022Speaker Information Can Guide Models to Better Inductive Biases: A Case Study On Predicting Code-Switchingcited by 6
  30. 2023Response Generation in Longitudinal Dialogues: Which Knowledge Representation Helps?cited by 6
  31. 2023UniMC: A Unified Framework for Long-Term Memory Conversation via Relevance Representation Learningcited by 6
  32. 2023Large Language Models as Source Planner for Personalized Knowledge-grounded Dialoguecited by 6
  33. 2024AutoPal: Autonomous Adaptation to Users for Personal AI Companionshipcited by 6
  34. 2025FlowKV: Enhancing Multi-Turn Conversational Coherence in LLMs via Isolated Key-Value Cache Managementcited by 6
  35. 2021Learning from My Friends: Few-Shot Personalized Conversation Systems via Social Networkscited by 5
  36. 2021EmpBot: A T5-based Empathetic Chatbot focusing on Sentimentscited by 5
  37. 2023A Survey of Personality, Persona, and Profile in Conversational Agents and Chatbotscited by 5
  38. 2021DLVGen: A Dual Latent Variable Approach to Personalized Dialogue Generationcited by 4

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