Author

Kripabandhu Ghosh

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Preprint Aug 2026

Can We Optimize the Performance-Carbon Emission Break-Even Point?: The Quest for Greener LLMs

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. Yet most efficiency interventions target either pre-training scale or post-hoc compression. We ask whether folding a calibrated, different...

Sourav Das, Tanmay Joshi, Kripabandhu Ghosh · 0 citations

Open access Jul 2026

AILQA: Evaluating AI-Driven Legal Question Answering Systems for the Indian Legal System

This comprehensive study introduces an advanced A rtificial Intelligence for I ndian L egal Q uestion A nswering or system tailored for the Indian legal context. leverages a variety of embedding and generative models, including the latest Large Language Models (LLMs), to address the unique challenges pose...

S. Nigam, Shubham Kumar Mishra, Noel Shallum et al. · Artificial Intelligence and... · 1 citation

Preprint Aug 2026

PROSLEX: A Novel Dataset for Expert-Annotated Legal Statute Prediction for Indian Judiciary

This work presents PROSLEX (PRediction Of Statutes and LEgal eXplanation), a comprehensive dataset comprising 1,623 expert-annotated legal documents from the Indian context, positioning PROSLEX as a benchmark for developing explainable AI systems that can support legal practitioners while advancing research in interpre...

Subinay Adhikary, Upal Bhattacharya, Vivek K. Singh et al. · 0 citations