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Affect Recognition in Conversations Using Large Language Models

Computer Science

Affect Recognition in Conversations Using Large Language Models

S. Feng, G. Sun, et al.

This study, by Shutong Feng, Guangzhi Sun, Nurul Lubis, Wen Wu, Chao Zhang, and Milica Gašić, evaluates large language models' ability to recognise emotions, moods, and feelings across open-domain and task-oriented dialogues using IEMOCAP, EmoWOZ, and DAIC-WOZ, and explores zero-shot, few-shot, fine-tuning, and the impact of ASR errors on LLM predictions.... show more
Introduction
Literature Review
Methodology
Key Findings
Discussion
Conclusion
Limitations

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