mlsanityData to 14 Oct 2026

EmpTransfo: A Multi-head Transformer Architecture for Creating Empathetic Dialog Systems

arXiv 2003.02958 ↗First posted 5 Mar 2020cs.CL cs.LGcited by 19

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Abstract (arXiv)

Understanding emotions and responding accordingly is one of the biggest challenges of dialog systems. This paper presents EmpTransfo, a multi-head Transformer architecture for creating an empathetic dialog system. EmpTransfo utilizes state-of-the-art pre-trained models (e.g., OpenAI-GPT) for language generation, though models with different sizes can be used. We show that utilizing the history of emotions and other metadata can improve the quality of generated conversations by the dialog system. Our experimental results using a challenging language corpus show that the proposed approach outperforms other models in terms of Hit@1 and PPL (Perplexity).

Key facts. Cited by 19 papers in the map (data through 14 Oct 2026). First posted on arXiv 5 Mar 2020.

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Citing papers per year: 2021: 9; 2022: 7; 2023: 1; 2024: 2.

19 papers.

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  1. 2021Towards Emotional Support Dialog Systemscited by 299
  2. 2023Building Emotional Support Chatbots in the Era of LLMscited by 62
  3. 2021CoMAE: A Multi-factor Hierarchical Framework for Empathetic Response Generationcited by 42
  4. 2021CoMPM: Context Modeling with Speaker's Pre-trained Memory Tracking for Emotion Recognition in Conversationcited by 35
  5. 2022CPED: A Large-Scale Chinese Personalized and Emotional Dialogue Dataset for Conversational AIcited by 26
  6. 2021Multi-Task Learning of Generation and Classification for Emotion-Aware Dialogue Response Generationcited by 15
  7. 2021Automatically Select Emotion for Response via Personality-affected Emotion Transitioncited by 15
  8. 2022Empathetic Conversational Systems: A Review of Current Advances, Gaps, and Opportunitiescited by 14
  9. 2021Empathetic Dialogue Generation with Pre-trained RoBERTa-GPT2 and External Knowledgecited by 8
  10. 2022Mitigating Toxic Degeneration with Empathetic Data: Exploring the Relationship Between Toxicity and Empathycited by 8
  11. 2024DiagESC: Dialogue Synthesis for Integrating Depression Diagnosis into Emotional Support Conversationcited by 6
  12. 2022Emotion-Aware Transformer Encoder for Empathetic Dialogue Generationcited by 5
7 more
  1. 2021Towards Detecting Need for Empathetic Response in Motivational Interviewingcited by 3
  2. 2024Personality-affected Emotion Generation in Dialog Systemscited by 3
  3. 2022ConceptNet infused DialoGPT for Underlying Commonsense Understanding and Reasoning in Dialogue Response Generationcited by 1
  4. 2021CloneBot: Personalized Dialogue-Response Predictionscited by 0
  5. 2021Estimating Subjective Crowd-Evaluations as an Additional Objective to Improve Natural Language Generationcited by 0
  6. 2022Empathetic Response Generation with State Managementcited by 0
  7. 2022QNet: A Quantum-native Sequence Encoder Architecturecited by 0