Is ChatGPT Equipped with Emotional Dialogue Capabilities?
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Abstract (arXiv)
This report presents a study on the emotional dialogue capability of ChatGPT, an advanced language model developed by OpenAI. The study evaluates the performance of ChatGPT on emotional dialogue understanding and generation through a series of experiments on several downstream tasks. Our findings indicate that while ChatGPT's performance on emotional dialogue understanding may still lag behind that of supervised models, it exhibits promising results in generating emotional responses. Furthermore, the study suggests potential avenues for future research directions.
Key facts. Cited by 54 papers in the map (data through 7 Oct 2026). Builds on 37 of its 51 references that are in the map. First posted on arXiv 19 Apr 2023.
Builds on
37 of 51 references.
References · 37
- 2019BART: Denoising Sequence-to-Sequence Pre-training for Natural Language Generation, Translation, and Comprehensioncited by 5,874
- 2015A Diversity-Promoting Objective Function for Neural Conversation Modelscited by 1,068
- 2023A Multitask, Multilingual, Multimodal Evaluation of ChatGPT on Reasoning, Hallucination, and Interactivitycited by 888
- 2017DailyDialog: A Manually Labelled Multi-turn Dialogue Datasetcited by 649
- 2018MELD: A Multimodal Multi-Party Dataset for Emotion Recognition in Conversationscited by 636
- 2020Recipes for building an open-domain chatbotcited by 593
- 2023Is ChatGPT a General-Purpose Natural Language Processing Task Solver?cited by 486
- 2021Towards Emotional Support Dialog Systemscited by 294
- 2018DialogueRNN: An Attentive RNN for Emotion Detection in Conversationscited by 216
- 2023On the Robustness of ChatGPT: An Adversarial and Out-of-distribution Perspectivecited by 208
- 2023ChatGPT: Jack of all trades, master of nonecited by 204
- 2018The Design and Implementation of XiaoIce, an Empathetic Social Chatbotcited by 172
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- 2020COSMIC: COmmonSense knowledge for eMotion Identification in Conversationscited by 135
- 2019Emotion Recognition in Conversation: Research Challenges, Datasets, and Recent Advancescited by 118
- 2020MIME: MIMicking Emotions for Empathetic Response Generationcited by 114
- 2017Emotion Detection on TV Show Transcripts with Sequence-based Convolutional Neural Networkscited by 102
- 2021Directed Acyclic Graph Network for Conversational Emotion Recognitioncited by 97
- 2019MoEL: Mixture of Empathetic Listenerscited by 91
- 2021CEM: Commonsense-aware Empathetic Response Generationcited by 89
- 2022MISC: A MIxed Strategy-Aware Model Integrating COMET for Emotional Support Conversationcited by 84
- 2018EmotionLines: An Emotion Corpus of Multi-Party Conversationscited by 80
- 2020DialogXL: All-in-One XLNet for Multi-Party Conversation Emotion Recognitioncited by 78
- 2021DialogueCRN: Contextual Reasoning Networks for Emotion Recognition in Conversationscited by 71
- 2020Recognizing Emotion Cause in Conversationscited by 66
- 2022Improving Multi-turn Emotional Support Dialogue Generation with Lookahead Strategy Planningcited by 59
- 2022Control Globally, Understand Locally: A Global-to-Local Hierarchical Graph Network for Emotional Support Conversationcited by 56
- 2021CoMPM: Context Modeling with Speaker's Pre-trained Memory Tracking for Emotion Recognition in Conversationcited by 35
- 2022Weakly Supervised Data Augmentation Through Prompting for Dialogue Understandingcited by 32
- 2022Supervised Prototypical Contrastive Learning for Emotion Recognition in Conversationcited by 31
- 2020Co-GAT: A Co-Interactive Graph Attention Network for Joint Dialog Act Recognition and Sentiment Classificationcited by 29
- 2020DCR-Net: A Deep Co-Interactive Relation Network for Joint Dialog Act Recognition and Sentiment Classificationcited by 28
- 2019Dialogue Act Classification with Context-Aware Self-Attentioncited by 26
- 2022Empathetic Dialogue Generation via Sensitive Emotion Recognition and Sensible Knowledge Selectioncited by 19
- 2022Don't Lose Yourself! Empathetic Response Generation via Explicit Self-Other Awarenesscited by 16
- 2022Knowledge-Bridged Causal Interaction Network for Causal Emotion Entailmentcited by 16
- 2022Neutral Utterances are Also Causes: Enhancing Conversational Causal Emotion Entailment with Social Commonsense Knowledgecited by 13
- 2022TSAM: A Two-Stream Attention Model for Causal Emotion Entailmentcited by 6
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Citing papers per year: 2023: 16; 2024: 21; 2025: 13; 2026: 4.
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- 2024Cause-Aware Empathetic Response Generation via Chain-of-Thought Fine-Tuning21 Aug 2024
- 2024GPT-4 Emulates Average-Human Emotional Cognition from a Third-Person Perspective11 Aug 2024
- 2024ECR-Chain: Advancing Generative Language Models to Better Emotion-Cause Reasoners through Reasoning Chains17 May 2024
- 2023Rethinking the Evaluation for Conversational Recommendation in the Era of Large Language Models22 May 2023
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- 2025Emotions Where Art Thou: Understanding and Characterizing the Emotional Latent Space of Large Language Models24 Oct 2025
- 2025Fine-Grained Emotion Recognition via In-Context Learning8 Oct 2025
- 2025E3RG: Building Explicit Emotion-driven Empathetic Response Generation System with Multimodal Large Language Model18 Aug 2025
- 2025In-Context Examples Matter: Improving Emotion Recognition in Conversation with Instruction Tuning16 Aug 2025
- 2025Can Large Language Models Generate Effective Datasets for Emotion Recognition in Conversations?7 Aug 2025
- 2025MLlm-DR: Towards Explainable Depression Recognition with MultiModal Large Language Models8 Jul 2025
- 2025When LLMs Team Up: The Emergence of Collaborative Affective Computing2 Jun 2025
- 2025Leveraging Large Language Models for Sarcastic Speech Annotation in Sarcasm Detection1 Jun 2025
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- 2024A Comprehensive Evaluation of Large Language Models on Aspect-Based Sentiment Analysis3 Dec 2024
12 newest of 37 All 37 (JSON)