3 papers
cs.CL2026
Exploring the Limits of Pruning: Task-Specific Neurons, Model Collapse, and Recovery in Task-Specific Large Language Models
M. K. Khalidi Siam, Md. Tausif-Ul-Islam, Md. Reshad Romim Khan +5
Neuron pruning is widely used to reduce the computational cost and parameter footprint of large language models, yet it remains unclear whether neurons in task-specific models cont…
cs.CL2026
Reliability Gated Multi-Teacher Distillation for Low Resource Abstractive Summarization
Dipto Sumit, Ankan Kumar Roy, Sadia Khair Rodela +4
We study multiteacher knowledge distillation for low resource abstractive summarization from a reliability aware perspective. We introduce EWAD (Entropy Weighted Agreement Aware Di…
cs.CL2024
Gazetteer-Enhanced Bangla Named Entity Recognition with BanglaBERT Semantic Embeddings K-Means-Infused CRF Model
Niloy Farhan, Saman Sarker Joy, Tafseer Binte Mannan +1
Named Entity Recognition (NER) is a sub-task of Natural Language Processing (NLP) that distinguishes entities from unorganized text into predefined categorization. In recent years,…