Papers by Avi Trost

1 papers
Learning to Generate Instruction Tuning Datasets for Zero-Shot Task Adaptation (2024.findings-acl)

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Challenge: Existing instruction tuning datasets are limited by the quality of the instruction tuning data.
Approach: They propose a model that converts unannotated text into task-specific training datasets for instruction tuning.
Outcome: The proposed model improves the performance of pretrained and instruction tuned models over the de facto self-supervised baseline.

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