AI Research
From Monolithic to Modular: Segment-level Automatic Prompt Optimization
Breaking down prompt engineering into modular, segment-level optimizations for superior LLM performance.
Automatic Prompt Optimization (APO) often rewrites prompts monolithically, which can improve one behavior while degrading others. We present SAPO, a segment-level APO method that decomposes prompts into role, context, tasks, and output format, then applies targeted improvements b...
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ArXiv CS.AI
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ArXiv CS.AI
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Segment-level optimization allows for surgical refinement of complex prompts, preventing the performance regression often seen in monolithic approaches. By modularizing instructions, this method provides a more stable and scalable path toward automating prompt engineering for diverse tasks.
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