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A Persona-Based Neural Conversation Model

arXiv 1603.06155 ↗First posted 19 Mar 2016cs.CLcited by 221

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Abstract (arXiv)

We present persona-based models for handling the issue of speaker consistency in neural response generation. A speaker model encodes personas in distributed embeddings that capture individual characteristics such as background information and speaking style. A dyadic speaker-addressee model captures properties of interactions between two interlocutors. Our models yield qualitative performance improvements in both perplexity and BLEU scores over baseline sequence-to-sequence models, with similar gains in speaker consistency as measured by human judges.

Key facts. Cited by 221 papers in the map (data through 7 Oct 2026). First posted on arXiv 19 Mar 2016.

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Citing papers per year: 2019: 1; 2020: 0; 2021: 59; 2022: 45; 2023: 39; 2024: 37; 2025: 21; 2026: 19.

221 papers.

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  1. 2022Survey of Hallucination in Natural Language Generationcited by 2,056
  2. 2021Beyond Goldfish Memory: Long-Term Open-Domain Conversationcited by 266
  3. 2024From Persona to Personalization: A Survey on Role-Playing Language Agentscited by 206
  4. 2022What Does it Mean for a Language Model to Preserve Privacy?cited by 194
  5. 2022A Survey of Controllable Text Generation using Transformer-based Pre-trained Language Modelscited by 128
  6. 2022Long Time No See! Open-Domain Conversation with Long-Term Persona Memorycited by 107
  7. 2024Can LLM be a Personalized Judge?cited by 99
  8. 2024From Individual to Society: A Survey on Social Simulation Driven by Large Language Model-based Agentscited by 76
  9. 2021BoB: BERT Over BERT for Training Persona-based Dialogue Models from Limited Personalized Datacited by 75
  10. 2022Human Evaluation of Conversations is an Open Problem: comparing the sensitivity of various methods for evaluating dialogue agentscited by 62
  11. 2022Less is More: Learning to Refine Dialogue History for Personalized Dialogue Generationcited by 47
  12. 2024The Oscars of AI Theater: A Survey on Role-Playing with Language Modelscited by 47
38 more
  1. 2023Faithful Persona-based Conversational Dataset Generation with Large Language Modelscited by 45
  2. 2021Controlling Hallucinations at Word Level in Data-to-Text Generationcited by 41
  3. 2021One Chatbot Per Person: Creating Personalized Chatbots based on Implicit User Profilescited by 39
  4. 2022PAL: Persona-Augmented Emotional Support Conversation Generationcited by 39
  5. 2023Are Personalized Stochastic Parrots More Dangerous? Evaluating Persona Biases in Dialogue Systemscited by 37
  6. 2022DoCoGen: Domain Counterfactual Generation for Low Resource Domain Adaptationcited by 36
  7. 2021Revealing Persona Biases in Dialogue Systemscited by 33
  8. 2024LLM Agents in Interaction: Measuring Personality Consistency and Linguistic Alignment in Interacting Populations of Large Language Modelscited by 33
  9. 2021Multimodal Dialogue Response Generationcited by 32
  10. 2021OTTers: One-turn Topic Transitions for Open-Domain Dialoguecited by 29
  11. 2023Information Retrieval Meets Large Language Models: A Strategic Report from Chinese IR Communitycited by 29
  12. 2023LLMRec: Benchmarking Large Language Models on Recommendation Taskcited by 29
  13. 2022Faithfulness in Natural Language Generation: A Systematic Survey of Analysis, Evaluation and Optimization Methodscited by 27
  14. 2023LiveChat: A Large-Scale Personalized Dialogue Dataset Automatically Constructed from Live Streamingcited by 27
  15. 2025Enhancing Persona Consistency for LLMs' Role-Playing using Persona-Aware Contrastive Learningcited by 27
  16. 2024Building Better AI Agents: A Provocation on the Utilisation of Persona in LLM-based Conversational Agentscited by 26
  17. 2021DialoGraph: Incorporating Interpretable Strategy-Graph Networks into Negotiation Dialoguescited by 25
  18. 2022A Model-Agnostic Data Manipulation Method for Persona-based Dialogue Generationcited by 25
  19. 2023RECAP: Retrieval-Enhanced Context-Aware Prefix Encoder for Personalized Dialogue Response Generationcited by 25
  20. 2021On the Calibration and Uncertainty of Neural Learning to Rank Modelscited by 24
  21. 2023Enhancing Personalized Dialogue Generation with Contrastive Latent Variables: Combining Sparse and Dense Personacited by 24
  22. 2023MPCHAT: Towards Multimodal Persona-Grounded Conversationcited by 24
  23. 2023A Survey of the Evolution of Language Model-Based Dialogue Systems: Data, Task and Modelscited by 23
  24. 2024Modeling Human Subjectivity in LLMs Using Explicit and Implicit Human Factors in Personascited by 23
  25. 2021Emotion-aware Chat Machine: Automatic Emotional Response Generation for Human-like Emotional Interactioncited by 21
  26. 2022COSPLAY: Concept Set Guided Personalized Dialogue Generation Across Both Party Personascited by 20
  27. 2022Empathic Conversations: A Multi-level Dataset of Contextualized Conversationscited by 20
  28. 2021A Review of Human Evaluation for Style Transfercited by 19
  29. 2022Why is constrained neural language generation particularly challenging?cited by 19
  30. 2025Open Character Training: Shaping the Persona of AI Assistants through Constitutional AIcited by 19
  31. 2021Generating Relevant and Coherent Dialogue Responses using Self-separated Conditional Variational AutoEncoderscited by 18
  32. 2021Refocusing on Relevance: Personalization in NLGcited by 18
  33. 2021A Review of Text Style Transfer using Deep Learningcited by 18
  34. 2024IQA-EVAL: Automatic Evaluation of Human-Model Interactive Question Answeringcited by 18
  35. 2021Does It Capture STEL? A Modular, Similarity-based Linguistic Style Evaluation Frameworkcited by 17
  36. 2022TVShowGuess: Character Comprehension in Stories as Speaker Guessingcited by 17
  37. 2022Improving Personality Consistency in Conversation by Persona Extendingcited by 17
  38. 2023Learning to Memorize Entailment and Discourse Relations for Persona-Consistent Dialoguescited by 17

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