Papers by Yongle Li

1 papers
Dual-Phase Accelerated Prompt Optimization (2024.findings-emnlp)

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Challenge: Existing methods for prompt optimization make light of the importance of high-quality initialization and the identification of effective directions.
Approach: They propose a method which uses a meta-instruction to generate high-quality initial prompts and iteratively optimize them at the sentence level.
Outcome: The proposed method achieves consistent accuracy gain over baselines with less than five optimization steps.

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