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Beyond Prompt or Skill? Attribution-Guided Optimization of Modular LLM Programs
Large language models can solve increasingly diverse reasoning tasks, yet their performance remains highly sensitive to task prompts, intermediate instructions, and the way reusable problem-solving knowledge is incorporated. Existing optimization methods usually focus on only one part of this design
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