2 papers
cs.CL2025
SynLexLM: Scaling Legal LLMs with Synthetic Data and Curriculum Learning
Ojasw Upadhyay, Abishek Saravanakumar, Ayman Ismail
Large Language Models (LLMs) are powerful but often require extensive fine-tuning and large datasets for specialized domains like law. General-purpose pre-training may not capture…
cs.CV2024
LOTUS: Improving Transformer Efficiency with Sparsity Pruning and Data Lottery Tickets
Ojasw Upadhyay
Vision transformers have revolutionized computer vision, but their computational demands present challenges for training and deployment. This paper introduces LOTUS (LOttery Transf…