Domain-Adaptive Small Language Models for Structured Tax Code Prediction
A domain-adaptive small language model (SLM) with an encoder-decoder architecture for the enhanced prediction of product and service tax codes and demonstrates the superior performance of the domain-adaptive encoder-decoder SLMs over flat classifiers when applied to the Harmonized System of Nomenclature.