Papers by Yongle Zhang

2 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.
Toward Machine Translation Literacy: How Lay Users Perceive and Rely on Imperfect Translations (2025.emnlp-main)

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Challenge: Using machine translation tools for everyday tasks is becoming more commonplace, but a lack of evaluation strategies and alternatives can cause users to over-rely on it.
Approach: They propose to use MT evaluation techniques to promote MT quality and MT literacy among its users.
Outcome: The findings highlight the need for evaluation and NLP explanation techniques to promote MT quality and MT literacy among its users.

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