mlsanityData to 7 Oct 2026

Enhancing Personalized Dialogue Generation with Contrastive Latent Variables: Combining Sparse and Dense Persona

arXiv 2305.11482 ↗First posted 19 May 2023cs.CLcited by 24

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Abstract (arXiv)

The personalized dialogue explores the consistent relationship between dialogue generation and personality. Existing personalized dialogue agents model persona profiles from three resources: sparse or dense persona descriptions and dialogue histories. However, sparse structured persona attributes are explicit but uninformative, dense persona texts contain rich persona descriptions with much noise, and dialogue history query is both noisy and uninformative for persona modeling. In this work, we combine the advantages of the three resources to obtain a richer and more accurate persona. We design a Contrastive Latent Variable-based model (CLV) that clusters the dense persona descriptions into sparse categories, which are combined with the history query to generate personalized responses. Experimental results on Chinese and English datasets demonstrate our model's superiority in personalization.

Key facts. Cited by 24 papers in the map (data through 7 Oct 2026). Builds on 26 of its 39 references that are in the map. First posted on arXiv 19 May 2023.

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26 of 39 references.

References · 26

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  5. 2015A Diversity-Promoting Objective Function for Neural Conversation Modelscited by 1,068
  6. 2018Personalizing Dialogue Agents: I have a dog, do you have pets too?cited by 820
  7. 2017Learning Discourse-level Diversity for Neural Dialog Models using Conditional Variational Autoencoderscited by 222
  8. 2016A Persona-Based Neural Conversation Modelcited by 221
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14 more
  1. 2021Recent Advances in Deep Learning Based Dialogue Systems: A Systematic Surveycited by 130
  2. 2020You Impress Me: Dialogue Generation via Mutual Persona Perceptioncited by 85
  3. 2019Personalizing Dialogue Agents via Meta-Learningcited by 83
  4. 2021BoB: BERT Over BERT for Training Persona-based Dialogue Models from Limited Personalized Datacited by 75
  5. 2019A Pre-training Based Personalized Dialogue Generation Model with Persona-sparse Datacited by 74
  6. 2019Exploiting Persona Information for Diverse Generation of Conversational Responsescited by 58
  7. 2022Less is More: Learning to Refine Dialogue History for Personalized Dialogue Generationcited by 47
  8. 2021One Chatbot Per Person: Creating Personalized Chatbots based on Implicit User Profilescited by 39
  9. 2020Profile Consistency Identification for Open-domain Dialogue Agentscited by 22
  10. 2022Fuse It More Deeply! A Variational Transformer with Layer-Wise Latent Variable Inference for Text Generationcited by 20
  11. 2021Generating Relevant and Coherent Dialogue Responses using Self-separated Conditional Variational AutoEncoderscited by 18
  12. 2023Think Twice: A Human-like Two-stage Conversational Agent for Emotional Response Generationcited by 14
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  14. 2021DLVGen: A Dual Latent Variable Approach to Personalized Dialogue Generationcited by 4

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Citing papers per year: 2023: 1; 2024: 8; 2025: 6; 2026: 9.

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  1. 2024Two Tales of Persona in LLMs: A Survey of Role-Playing and Personalizationcited by 203
  2. 2024A Survey on Recent Advances in LLM-Based Multi-turn Dialogue Systemscited by 170
  3. 2024Recent Trends in Personalized Dialogue Generation: A Review of Datasets, Methodologies, and Evaluationscited by 19
  4. 2024RoleBreak: Character Hallucination as a Jailbreak Attack in Role-Playing Systemscited by 19
  5. 2025Exploring the Potential of LLMs as Personalized Assistants: Dataset, Evaluation, and Analysiscited by 16
  6. 2025Thinking in Character: Advancing Role-Playing Agents with Role-Aware Reasoningcited by 14
  7. 2023MIRACLE: Towards Personalized Dialogue Generation with Latent-Space Multiple Personal Attribute Controlcited by 11
  8. 2024"In Dialogues We Learn": Towards Personalized Dialogue Without Pre-defined Profiles through In-Dialogue Learningcited by 10
  9. 2025The Rise of Darkness: Safety-Utility Trade-Offs in Role-Playing Dialogue Agentscited by 7
  10. 2024DEMO: Reframing Dialogue Interaction with Fine-grained Element Modelingcited by 6
  11. 2026Character-R1: Enhancing Role-Aware Reasoning in Role-Playing Agents via RLVRcited by 5
  12. 2024MORPHEUS: Modeling Role from Personalized Dialogue History by Exploring and Utilizing Latent Spacecited by 4
12 more
  1. 2024Persona-SQ: A Personalized Suggested Question Generation Framework For Real-world Documentscited by 3
  2. 2025Towards Faithful and Controllable Personalization via Critique-Post-Edit Reinforcement Learningcited by 3
  3. 2026Know You Before You Speak: User-State Modeling for LLM Personalization in Multi-Turn Conversationcited by 3
  4. 2026Enhancing Persona Following at Decoding Time via Dynamic Importance Estimation for Role-Playing Agentscited by 2
  5. 2025Score Before You Speak: Improving Persona Consistency in Dialogue Generation using Response Quality Scorescited by 1
  6. 2025Persona-Aware Alignment Framework for Personalized Dialogue Generationcited by 1
  7. 2026Rethinking Evaluation in Retrieval-Augmented Personalized Dialogue: A Cognitive and Linguistic Perspectivecited by 1
  8. 2026Personality-Aware Reinforcement Learning for Persuasive Dialogue with LLM-Driven Simulationcited by 0
  9. 2026Through the Lens of Character: Resolving Modality-Role Interference in Multimodal Role-Playing Agentcited by 0
  10. 2026An Annotation Scheme and Classifier for Personal Facts in Dialoguecited by 0
  11. 2026ZIPP:Zero-shot Image Personalization from Personascited by 0
  12. 2026HyPE: Category-Aware Hypergraph Encoding with Persistent Edge Embeddings for Persona-Grounded Dialoguecited by 0