Papers by Minsoo Khang
ZERA: Zero-init Instruction Evolving Refinement Agent – From Zero Instructions to Structured Prompts via Principle-based Optimization (2025.emnlp-main)
Copied to clipboard
| Challenge: | Existing methods to improve large language model performance focus on user prompts and require large sample sizes and long iteration cycles. |
| Approach: | They propose a framework that jointly optimizes both system and user prompts . they evaluate ZERA across five LLMs and nine diverse datasets spanning reasoning, summarization, and code generation tasks. |
| Outcome: | The proposed framework improves prompt construction over baselines and is available on github . it scores prompts using eight generalizable criteria and revises prompts based on structured critiques. |