Reason Analogically via Cross-domain Prior Knowledge: An Empirical Study of Cross-domain Knowledge Transfer for In-Context Learning

1. 1Identify source and target domains with potential shared reasoning structures
2. 2Develop retrieval methods to transfer knowledge across domains
3. 3Evaluate the effectiveness of different retrieval methods in improving target-domain inference
4. 4Analyze the results to understand the impact of cross-domain knowledge transfer on in-context learning

AI engineers and researchers can benefit from this study as it provides insights into improving in-context learning with limited expert annotations, and can be applied to various domains

💡 Cross-domain knowledge transfer can leverage shared reasoning structures to improve in-context learning despite semantic mismatch

🤖 Cross-domain knowledge transfer can boost in-context learning! 📈