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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.

S. Nath, S. Wadhwa, Luis Perez · 5 citations

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