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Found 3 papers, 2 papers with code
Code Soliloquies for Accurate Calculations in Large Language Models
Our approach notably enhances the quality of synthetic conversation datasets, especially for subjects that are calculation-intensive.
CLASS: A Design Framework for building Intelligent Tutoring Systems based on Learning Science principles
We present a design framework called Conversational Learning with Analytical Step-by-Step Strategies (CLASS) for building advanced Intelligent Tutoring Systems (ITS) powered by high-performance Large Language Models (LLMs).
A Case Study in Bootstrapping Ontology Graphs from Textbooks
Ontology graphs are graphs in which the nodes are generic classes and edges have labels that specify the relationships between the classes.
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