Can LLMs Understand the Implication of Emphasized Sentences in Dialogue?

• URL: http://arxiv.org/abs/2406.11065v1
• Date: Sun, 16 Jun 2024 20:41:44 GMT
• Title: Can LLMs Understand the Implication of Emphasized Sentences in Dialogue?
• Authors: Guan-Ting Lin, Hung-yi Lee,
• Abstract summary: Emphasis is a crucial component in human communication, which indicates the speaker's intention and implication beyond pure text in dialogue. This paper introduces Emphasized-Talk, a benchmark with emphasis-annotated dialogue samples capturing the implications of emphasis. We evaluate various Large Language Models (LLMs), both open-source and commercial, to measure their performance in understanding emphasis.
• Score: 64.72966061510375
• License: http://creativecommons.org/licenses/by-sa/4.0/
• Abstract: Emphasis is a crucial component in human communication, which indicates the speaker's intention and implication beyond pure text in dialogue. While Large Language Models (LLMs) have revolutionized natural language processing, their ability to understand emphasis in dialogue remains unclear. This paper introduces Emphasized-Talk, a benchmark with emphasis-annotated dialogue samples capturing the implications of emphasis. We evaluate various LLMs, both open-source and commercial, to measure their performance in understanding emphasis. Additionally, we propose an automatic evaluation pipeline using GPT-4, which achieves a high correlation with human rating. Our findings reveal that although commercial LLMs generally perform better, there is still significant room for improvement in comprehending emphasized sentences.

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