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cs.CL2026
Streamlined Reflective Evolution for Task-Adaptive Self-Refinement Pipelines
Xiaofan Zhou, Lu Cheng
Reflective prompt optimization improves large language model (LLM) systems without updating model weights, but fixed architectures constrain how self-refinement is organized. We in…
cs.CL2026
What Should the Reflector See? An Empirical Study of Evidence in Reflective Prompt Optimization
Xiaofan Zhou, Lu Cheng
Reflective prompt optimization revises instructions using examples of a model's behavior, but which evidence the reflector should receive remains unclear. We study evidence composi…