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Is ChatGPT Equipped with Emotional Dialogue Capabilities?

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arxiv 2304.09582 v1 pith:J4DNUQLG submitted 2023-04-19 cs.CL

Weixiang Zhao , Yanyan Zhao , Xin Lu , Shilong Wang , Yanpeng Tong , Bing Qin This is my paper · ORCID
classification cs.CL
keywords emotionalchatgptdialogueperformanceunderstandingadvancedavenuesbehind
verification ladder T0 review T1 audit T2 compute T3 formal
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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.

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Cited by 4 Pith papers

Reviewed papers in the Pith corpus that reference this work. Sorted by Pith novelty score. Full citation record

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    A BERT-sized model, trained with contrastive learning on GPT-4-generated emotion descriptors, achieves zero-shot emotion recognition across new label spaces and task types.

  3. Mechanistic Interpretability of Emotion Inference in Large Language Models

    cs.CL 2025-02 conditional novelty 5.0 of 10

    Emotion inference in LLMs is localized to mid-layer attention and feed-forward units, and steering learned appraisal directions shifts generated emotions in appraisal-theory-consistent ways.

  4. Multi-Party Conversational Agents: A Survey

    cs.CL 2025-05 conditional novelty 4.0 of 10

    A survey of multi-party conversational AI that organizes tasks into state-of-mind modeling, semantic understanding, and action modeling, and argues that theory of mind is the key missing ingredient.

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