Papers by Shlomi Cohen-Ganor

1 papers
q2d: Turning Questions into Dialogs to Teach Models How to Search (2023.emnlp-main)

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Challenge: Recent dialog generation models use external search APIs to generate grounded responses.
Approach: They propose an automatic data generation pipeline that generates dialogs from questions . they use a large language model to create conversational versions of question answering datasets .
Outcome: The proposed method improves query generation models on a QReCC dataset.

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