Decomposed Prompting to Answer Questions on a Course Discussion Board

Code

• github.com/brandonjaipersaud/piazza-qabot-gpt
  In papernone★ 0

Abstract

We propose and evaluate a question-answering system that uses decomposed prompting to classify and answer student questions on a course discussion board. Our system uses a large language model (LLM) to classify questions into one of four types: conceptual, homework, logistics, and not answerable. This enables us to employ a different strategy for answering questions that fall under different types. Using a variant of GPT-3, we achieve 81\% classification accuracy. We discuss our system's performance on answering conceptual questions from a machine learning course and various failure modes.

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Reproductions