3 papers
cs.CL2026
Can We Optimize the Performance-Carbon Emission Break-Even Point?: The Quest for Greener LLMs
Sourav Das, Tanmay Joshi, Kripabandhu Ghosh
The carbon footprint of any deployed Large Language Model (LLM) accumulates during inference, where repeated use of the model substantially exceeds the one-time cost of fine-tuning…
cs.CL2026
ProbeScale: Probing Analysis to Optimize Neural Scaling Laws for Efficient Small Language Model Inference
Sourav Das
Small Language Models (SLMs) offer a balance between capability and computational feasibility. Neural scaling laws inform their optimal training, suggesting that they possess rich…
cs.CL2026
Towards Intelligent Legal Document Analysis: CNN-Driven Classification of Case Law Texts
Moinul Hossain, Sourav Rabi Das, Zikrul Shariar Ayon +4
Legal practitioners and judicial institutions face an ever-growing volume of case-law documents characterised by formalised language, lengthy sentence structures, and highly specia…