Enhancing BiGRU with a KAN Block for Legal Document Classification and Summarization

In three linesBiGRU architecture enhanced with KAN (Kolmogorov-Arnold Network) block for legal document classification and summarization in low-resource multilingual setup. Evaluation on Bengali/English/transliterated corpus from Bangladesh: 67.96% accuracy in classification (F1=0.65), ROUGE-1/2/L scores of 0.38/0.23/0.31 in summarization. Ablation study shows KAN improves classification from 57.34% to 67.96%.

Summary generated by Claude — human-verified