Advancing Large Language Models to Capture Varied Speaking Styles and Respond Properly in Spoken Conversations

Research article (Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2024) · cited 15× · AI/ML
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Advancing Large Language Models to Capture Varied Speaking Styles and Respond Properly in Spoken Conversations

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Advancing Large Language Models to Capture Varied Speaking Styles and Respond Properly in Spoken Conversations is a scholarly article[1].

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  • Advancing Large Language Models to Capture Varied Speaking Styles and Respond Properly in Spoken Conversations's instance of is recorded as scholarly article[2].

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APA 4ort.xyz Knowledge Graph. (2026). Advancing Large Language Models to Capture Varied Speaking Styles and Respond Properly in Spoken Conversations. Retrieved May 24, 2026, from https://4ort.xyz/entity/advancing-large-language-models-to-capture-varied-speaking-styles-and-respond-properly-in-spoken-conversations
MLA “Advancing Large Language Models to Capture Varied Speaking Styles and Respond Properly in Spoken Conversations.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/advancing-large-language-models-to-capture-varied-speaking-styles-and-respond-properly-in-spoken-conversations.
BibTeX @misc{4ortxyz_advancing-large-language-models-to-capture-varied-speaking-styles-and-respond-properly-in-spoken-conversations_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Advancing Large Language Models to Capture Varied Speaking Styles and Respond Properly in Spoken Conversations}}, year = {2026}, url = {https://4ort.xyz/entity/advancing-large-language-models-to-capture-varied-speaking-styles-and-respond-properly-in-spoken-conversations}, note = {Accessed: 2026-05-24}}
LLM prompt According to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Advancing Large Language Models to Capture Varied Speaking Styles and Respond Properly in Spoken Conversations — https://4ort.xyz/entity/advancing-large-language-models-to-capture-varied-speaking-styles-and-respond-properly-in-spoken-conversations (retrieved 2026-05-24)

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