Fine-tuning a small encoder-decoder T5 model with hierarchical tax-code tokens and constrained beam search improves HSN/SAC code prediction over flat classifiers and other SLM architectures in the authors' internal benchmark.
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Domain-Adaptive Small Language Models for Structured Tax Code Prediction
Fine-tuning a small encoder-decoder T5 model with hierarchical tax-code tokens and constrained beam search improves HSN/SAC code prediction over flat classifiers and other SLM architectures in the authors' internal benchmark.