Schema for In-Context Learning

1. 1Identify pre-existing mental frameworks (schemas) that can be applied to new tasks
2. 2Develop explicit modules for knowledge retrieval and transfer at the abstraction level
3. 3Integrate schema theory into transformer-based language models to enable in-context learning
4. 4Evaluate the performance of schema-based in-context learning models on various tasks

AI engineers and ML researchers can benefit from this approach to develop more efficient and effective in-context learning models, while data scientists can apply this knowledge to improve language model performance

💡 Schema theory can be applied to improve knowledge retrieval and transfer in in-context learning

💡 Schema-based in-context learning for transformer-based language models