2023
ACL
ACL 2023
Reasoning with Language Model Prompting: A Survey
Abstract
AbstractReasoning, as an essential ability for complex problem-solving, can provide back-end support for various real-world applications, such as medical diagnosis, negotiation, etc. This paper provides a comprehensive survey of cutting-edge research on reasoning with language model prompting. We introduce research works with comparisons and summaries and provide systematic resources to help beginners. We also discuss the potential reasons for emerging such reasoning abilities and highlight future research directions. Resources are available at https://github.com/zjunlp/Prompt4ReasoningPapers (updated periodically).
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Interdisciplinary Bridge
- Artificial Intelligence and Knowledge & Reasoning and Natural Language Processing
Authors
Topics
Natural Language Processing > Generation > Language Modeling
Natural Language Processing > Resources & Methods > Large Language Models
Knowledge & Reasoning > Reasoning > Automated Reasoning
Artificial Intelligence > Core AI > Reasoning
Machine Learning > Learning Types > In-Context Learning
Deep Learning > Models > Large Language Models
Deep Learning > Learning Types > In-Context Learning