AI RESEARCH
A Regression Framework for Understanding Prompt Component Impact on LLM Performance
arXiv CS.AI
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ArXi:2603.26830v1 Announce Type: cross As large language models (LLMs) continue to improve and see further integration into software systems, so does the need to understand the conditions in which they will perform. We contribute a statistical framework for understanding the impact of specific prompt features on LLM performance. The approach extends previous explainable artificial intelligence (XAI) methods specifically to inspect LLMs by fitting regression models relating portions of the prompt to LLM evaluation.