bibtext: @inproceedings{
  feffer2024prompt,
  title={Prompt Exploration with Prompt Regression},
  author={Michael Feffer and Ronald Xu and Yuekai Sun and Mikhail Yurochkin},
  booktitle={First Conference on Language Modeling},
  year={2024},
  url={https://openreview.net/forum?id=YwrNePfb3E}
  }
abstract: In the advent of democratized usage of large language models (LLMs), there is a growing desire to systematize LLM prompt creation and selection processes beyond iterative trial-and-error. Prior works majorly focus on searching the space of prompts without accounting for relations between prompt variations. Here we propose a framework, Prompt Exploration with Prompt Regression (PEPR), to predict the effect of prompt combinations given results for individual prompt elements as well as a simple method to select an effective prompt for a given use-case. We evaluate our approach with open-source LLMs of different sizes on several different tasks.
title: Prompt Exploration with Prompt Regression
authors: Michael Feffer Ronald Xu Yuekai Sun Mikhail Yurochkin