Papers by Lotem Golany
Efficient Data Generation for Source-grounded Information-seeking Dialogs: A Use Case for Meeting Transcripts (2024.findings-emnlp)
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| Challenge: | Existing methods for automating data generation with Large Language Models (LLMs) are difficult, and we propose a semi-automatic approach to generate dialogs with attributions. |
| Approach: | They propose a semi-automatic approach to generate dialog queries and responses with Large Language Models followed by human verification and identification of attribution spans. |
| Outcome: | The proposed approach improves the quality of the response generation and attribution quality of MISeD datasets while reducing time and effort. |