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

It is discovered from several outcomes that the carbon term behaves as either harmful interference or beneficial regularization depending on the task structure, which positions calibrated carbon-aware fine-tuning as a lightweight, drop-in regularizer with a non-empty but model and task-dependent break-even region.

Sourav Das, Tanmay Joshi, Kripabandhu Ghosh · 1 citation

Open access Jul 2026

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

Under the study’s evaluation protocol, some AI-generated responses received higher ratings than the available reference answers, particularly when they contained accurate and relevant supporting detail, should not be interpreted as evidence that the models generally outperform qualified legal professionals.

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