Papers with conversational interaction

2 papers
A Comparative Analysis of Conversational Large Language Models in Knowledge-Based Text Generation (2024.eacl-short)

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Challenge: Generating natural language text from graph-structured data is essential for conversational information seeking.
Approach: They conduct an empirical analysis of conversational large language models in generating natural language text from semantic triples using a WebNLG dataset.
Outcome: The proposed models improve their ability to generate natural language text from semantic triples using few-shot prompting, post-processing, and efficient fine-tuning techniques.
Exploring Conversational Language Generation for Rich Content about Hotels (L18-1)

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Challenge: a new method is needed to generate natural dialogues for hotel information . a recent study shows that hotel descriptions are not a good match for conversational interaction .
Approach: They propose to use stylistic features to generate and score hotel dialogues from hotel descriptions . they use hotel descriptions written by human writers within Google Content Studio .
Outcome: The proposed models can be used to generate natural dialogues for hotels . the authors show that the sentences in the original written hotel descriptions are not a good match for conversational interaction.

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