Papers by Yunzhe Qi

1 papers
Learning to Instruct: Fine-Tuning a Task-Aware Instruction Optimizer for Black-Box LLMs (2025.findings-emnlp)

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Challenge: Learning to Instruct is a new paradigm for black-box LLMs with inaccessible internal states.
Approach: They propose a new paradigm that formulates instruction optimization as an LLM fine-tuning objective for a white-box “instruction engineer” LLM.
Outcome: The proposed framework outperforms strong baselines in performance and efficiency.

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