Papers by Manuel Klettner

1 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.

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