A logits-constrained decoding mechanism on top of GujiRoBERTa improves ancient Chinese NER F1 by up to 2.95% on two of three EvaHan 2025 datasets, but the model-selection scaling law is fitted to four datasets and lacks validation.
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Logits-Constrained Framework with RoBERTa for Ancient Chinese NER
A logits-constrained decoding mechanism on top of GujiRoBERTa improves ancient Chinese NER F1 by up to 2.95% on two of three EvaHan 2025 datasets, but the model-selection scaling law is fitted to four datasets and lacks validation.