mlsanityData to 7 Oct 2026

CoMAE: A Multi-factor Hierarchical Framework for Empathetic Response Generation

arXiv 2105.08316 ↗First posted 18 May 2021cs.CLcited by 42

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Abstract (arXiv)

The capacity of empathy is crucial to the success of open-domain dialog systems. Due to its nature of multi-dimensionality, there are various factors that relate to empathy expression, such as communication mechanism, dialog act and emotion. However, existing methods for empathetic response generation usually either consider only one empathy factor or ignore the hierarchical relationships between different factors, leading to a weak ability of empathy modeling. In this paper, we propose a multi-factor hierarchical framework, CoMAE, for empathetic response generation, which models the above three key factors of empathy expression in a hierarchical way. We show experimentally that our CoMAE-based model can generate more empathetic responses than previous methods. We also highlight the importance of hierarchical modeling of different factors through both the empirical analysis on a real-life corpus and the extensive experiments. Our codes and used data are available at https://github.com/chujiezheng/CoMAE.

Key facts. Cited by 42 papers in the map (data through 7 Oct 2026). Builds on 18 of its 48 references that are in the map. First posted on arXiv 18 May 2021.

Builds on

18 of 48 references.

References · 18

  1. 2014Adam: A Method for Stochastic Optimizationcited by 36,960
  2. 2019PyTorch: An Imperative Style, High-Performance Deep Learning Librarycited by 20,160
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  5. 2020GoEmotions: A Dataset of Fine-Grained Emotionscited by 479
  6. 2016How NOT To Evaluate Your Dialogue System: An Empirical Study of Unsupervised Evaluation Metrics for Dialogue Response Generationcited by 356
  7. 2020A Computational Approach to Understanding Empathy Expressed in Text-Based Mental Health Supportcited by 182
  8. 2018The Design and Implementation of XiaoIce, an Empathetic Social Chatbotcited by 172
  9. 2017Emotional Chatting Machine: Emotional Conversation Generation with Internal and External Memorycited by 167
  10. 2020MIME: MIMicking Emotions for Empathetic Response Generationcited by 114
  11. 2019MoEL: Mixture of Empathetic Listenerscited by 91
  12. 2018Training Tips for the Transformer Modelcited by 85
6 more
  1. 2021Towards Facilitating Empathic Conversations in Online Mental Health Support: A Reinforcement Learning Approachcited by 75
  2. 2017Relevance of Unsupervised Metrics in Task-Oriented Dialogue for Evaluating Natural Language Generationcited by 61
  3. 2020Towards Persona-Based Empathetic Conversational Modelscited by 53
  4. 2020A Taxonomy of Empathetic Response Intents in Human Social Conversationscited by 51
  5. 2020EmpTransfo: A Multi-head Transformer Architecture for Creating Empathetic Dialog Systemscited by 19
  6. 2021DiSCoL: Toward Engaging Dialogue Systems through Conversational Line Guided Response Generationcited by 10

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Cited by year (2026 to 7 Oct)

Citing papers per year: 2021: 5; 2022: 14; 2023: 9; 2024: 8; 2025: 5; 2026: 1.

42 papers.

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  1. 2021Towards Emotional Support Dialog Systemscited by 294
  2. 2021PsyQA: A Chinese Dataset for Generating Long Counseling Text for Mental Health Supportcited by 92
  3. 2021CEM: Commonsense-aware Empathetic Response Generationcited by 89
  4. 2022AugESC: Dialogue Augmentation with Large Language Models for Emotional Support Conversationcited by 79
  5. 2022Human-AI Collaboration Enables More Empathic Conversations in Text-based Peer-to-Peer Mental Health Supportcited by 68
  6. 2023Cue-CoT: Chain-of-thought Prompting for Responding to In-depth Dialogue Questions with LLMscited by 62
  7. 2022Improving Multi-turn Emotional Support Dialogue Generation with Lookahead Strategy Planningcited by 59
  8. 2023CharacterChat: Learning towards Conversational AI with Personalized Social Supportcited by 58
  9. 2022PAL: Persona-Augmented Emotional Support Conversation Generationcited by 39
  10. 2022EVA2.0: Investigating Open-Domain Chinese Dialogue Systems with Large-Scale Pre-Trainingcited by 31
  11. 2022CPED: A Large-Scale Chinese Personalized and Emotional Dialogue Dataset for Conversational AIcited by 25
  12. 2024STICKERCONV: Generating Multimodal Empathetic Responses from Scratchcited by 21
30 more
  1. 2021Exploring Prompt-based Few-shot Learning for Grounded Dialog Generationcited by 20
  2. 2022Empathetic Dialogue Generation via Sensitive Emotion Recognition and Sensible Knowledge Selectioncited by 19
  3. 2022CASE: Aligning Coarse-to-Fine Cognition and Affection for Empathetic Response Generationcited by 18
  4. 2022FADO: Feedback-Aware Double COntrolling Network for Emotional Support Conversationcited by 18
  5. 2023Facilitating Multi-turn Emotional Support Conversation with Positive Emotion Elicitation: A Reinforcement Learning Approachcited by 15
  6. 2022Empathetic Conversational Systems: A Review of Current Advances, Gaps, and Opportunitiescited by 14
  7. 2023Leveraging Large Language Models for Automated Dialogue Analysiscited by 14
  8. 2025KokoroChat: A Japanese Psychological Counseling Dialogue Dataset Collected via Role-Playing by Trained Counselorscited by 13
  9. 2023Improving Empathetic Dialogue Generation by Dynamically Infusing Commonsense Knowledgecited by 12
  10. 2022Emp-RFT: Empathetic Response Generation via Recognizing Feature Transitions between Utterancescited by 11
  11. 2023Less is More: Mitigate Spurious Correlations for Open-Domain Dialogue Response Generation Models by Causal Discoverycited by 10
  12. 2023DiffusEmp: A Diffusion Model-Based Framework with Multi-Grained Control for Empathetic Response Generationcited by 9
  13. 2025A Desideratum for Conversational Agents: Capabilities, Challenges, and Future Directionscited by 9
  14. 2022Mitigating Toxic Degeneration with Empathetic Data: Exploring the Relationship Between Toxicity and Empathycited by 8
  15. 2024An Iterative Associative Memory Model for Empathetic Response Generationcited by 8
  16. 2024Empathy Level Alignment via Reinforcement Learning for Empathetic Response Generationcited by 8
  17. 2023Knowledge-enhanced Memory Model for Emotional Support Conversationcited by 7
  18. 2023CAB: Empathetic Dialogue Generation with Cognition, Affection and Behaviorcited by 6
  19. 2024Detection and Positive Reconstruction of Cognitive Distortion sentences: Mandarin Dataset and Evaluationcited by 6
  20. 2025The Pursuit of Empathy: Evaluating Small Language Models for PTSD Dialogue Supportcited by 6
  21. 2022Wish I Can Feel What You Feel: A Neural Approach for Empathetic Response Generationcited by 5
  22. 2024Exploiting Emotion-Semantic Correlations for Empathetic Response Generationcited by 5
  23. 2024CausalScore: An Automatic Reference-Free Metric for Assessing Response Relevance in Open-Domain Dialogue Systemscited by 5
  24. 2022A Critical Reflection and Forward Perspective on Empathy and Natural Language Processingcited by 4
  25. 2024The Future of Cognitive Strategy-enhanced Persuasive Dialogue Agents: New Perspectives and Trendscited by 4
  26. 2021Constructing Emotion Consensus and Utilizing Unpaired Data for Empathetic Dialogue Generationcited by 3
  27. 2024Personality-affected Emotion Generation in Dialog Systemscited by 3
  28. 2025EmoAssist: Emotional Assistant for Visual Impairment Communitycited by 0
  29. 2025Mind2: Mind-to-Mind Emotional Support System with Bidirectional Cognitive Discourse Analysiscited by 0
  30. 2026Multilingual KokoroChat: A Multi-LLM Ensemble Translation Method for Creating a Multilingual Counseling Dialogue Datasetcited by 0