3 papers
cs.LG2026
LILA: Calibration-Free Structured Pruning of Large Language Models via Latent Spectral Geometry
Sankar Behera, Dhruv Singh, Anshika Agnihotri +3
Structured pruning of large language models (LLMs) offers hardware-efficient compression, yet existing methods require calibration data, gradient computation, or large auxiliary po…
cs.CL2025
SentiMaithili: A Benchmark Dataset for Sentiment and Reason Generation for the Low-Resource Maithili Language
Rahul Ranjan, Mahendra Kumar Gurve, Anuj +2
Developing benchmark datasets for low-resource languages poses significant challenges, primarily due to the limited availability of native linguistic experts and the substantial ti…
cs.CV2025
ONG: One-Shot NMF-based Gradient Masking for Efficient Model Sparsification
Sankar Behera, Yamuna Prasad
Deep Neural Networks (DNNs) have achieved remarkable success but their large size poses deployment challenges. While various pruning techniques exist, many involve complex iterativ…