IndicLLMSuite: A Blueprint for Creating Pre-training and Fine-Tuning Datasets for Indian Languages

1 code implementation • 11 Mar 2024 • Mohammed Safi Ur Rahman Khan, Priyam Mehta, Ananth Sankar, Umashankar Kumaravelan, Sumanth Doddapaneni, Suriyaprasaad G, Varun Balan G, Sparsh Jain, Anoop Kunchukuttan, Pratyush Kumar, Raj Dabre, Mitesh M. Khapra

We hope that the datasets, tools, and resources released as a part of this work will not only propel the research and development of Indic LLMs but also establish an open-source blueprint for extending such efforts to other languages.

PhishMatch: A Layered Approach for Effective Detection of Phishing URLs

no code implementations • 4 Dec 2021 • Harshal Tupsamudre, Sparsh Jain, Sachin Lodha

Prior studies show that it is possible to determine whether a website is phishing or not just by analyzing its URL more carefully.

Statistical Guarantees for Fairness Aware Plug-In Algorithms

no code implementations • 27 Jul 2021 • Drona Khurana, Srinivasan Ravichandran, Sparsh Jain, Narayanan Unny Edakunni

A plug-in algorithm to estimate Bayes Optimal Classifiers for fairness-aware binary classification has been proposed in (Menon & Williamson, 2018).

Binary Classification Fairness