2 papers
cs.CL2025
Comparative Study of Pre-Trained BERT and Large Language Models for Code-Mixed Named Entity Recognition
Mayur Shirke, Amey Shembade, Pavan Thorat +2
Named Entity Recognition (NER) in code-mixed text, particularly Hindi-English (Hinglish), presents unique challenges due to informal structure, transliteration, and frequent langua…
cs.CL2025
On Importance of Layer Pruning for Smaller BERT Models and Low Resource Languages
Mayur Shirke, Amey Shembade, Madhushri Wagh +2
This study explores the effectiveness of layer pruning for developing more efficient BERT models tailored to specific downstream tasks in low-resource languages. Our primary object…