Summary of Crispo: Multi-aspect Critique-suggestion-guided Automatic Prompt Optimization For Text Generation, by Han He et al.
CriSPO: Multi-Aspect Critique-Suggestion-guided Automatic Prompt Optimization for Text Generation
by Han He, Qianchu Liu, Lei Xu, Chaitanya Shivade, Yi Zhang, Sundararajan Srinivasan, Katrin Kirchhoff
First submitted to arxiv on: 3 Oct 2024
Categories
- Main: Computation and Language (cs.CL)
- Secondary: Artificial Intelligence (cs.AI); Machine Learning (cs.LG)
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| Summary difficulty | Written by | Summary |
|---|---|---|
| High | Paper authors | High Difficulty Summary Read the original abstract here |
| Medium | GrooveSquid.com (original content) | Medium Difficulty Summary This paper proposes a novel approach to automatic prompt engineering for generative tasks. Existing methods are designed for discriminative tasks and lack nuance, whereas this method, called CriSPO (Critique-Suggestion-guided Prompt Optimization), incorporates a critique-suggestion module that discovers aspects and provides specific suggestions for prompt modification. This module is guided by a receptive optimizer to explore a broader search space. The authors also introduce an Automatic Suffix Tuning (AST) extension to enhance performance across multiple metrics. Evaluations on 4 state-of-the-art language models and 9 datasets show substantial improvements in ROUGE scores for summarization tasks and various metrics for QA tasks. |
| Low | GrooveSquid.com (original content) | Low Difficulty Summary This paper is about a new way to make computer programs better at understanding what people want them to do. Right now, programs are not very good at this because they don’t know how to ask the right questions or understand what people mean when they give instructions. The authors of this paper have developed a new approach that helps programs figure out what people want and then gives them suggestions on how to make it happen. This is important because it can help programs do things like summarize long pieces of text or answer tricky questions. |
Keywords
» Artificial intelligence » Optimization » Prompt » Rouge » Summarization
