activity
20242026
collaborators

15 papers

cs.AI2026

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

Subinay Adhikary, Upal Bhattacharya, Vivek Kumar Singh +6

Legal Statute Prediction (LSP) involves automatically identifying relevant legal statutes given factual descriptions in legal documents, typically framed as a multi-label classific…

cs.CL2026

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

Shubham Kumar Nigam, Shubham Kumar Mishra, Noel Shallum +2

This comprehensive study introduces an advanced Artificial Intelligence for Indian Legal Question Answering (AILQA) system tailored to the Indian legal context. AILQA leverages a v…

cs.CL2026

IndicMedDialog: A Parallel Multi-Turn Medical Dialogue Dataset for Accessible Healthcare in Indic Languages

Shubham Kumar Nigam, Suparnojit Sarkar, Piyush Patel

Most existing medical dialogue systems operate in a single-turn question--answering paradigm or rely on template-based datasets, limiting conversational realism and multilingual ap…

cs.AI2026

How English Print Media Frames Human-Elephant Conflicts in India

Bonala Sai Punith, Salveru Jayati, Garima Shakya +1

Human-elephant conflict (HEC) is rising across India as habitat loss and expanding human settlements force elephants into closer contact with people. While the ecological drivers o…

cs.CL2026

NyayaMind- A Framework for Transparent Legal Reasoning and Judgment Prediction in the Indian Legal System

Parjanya Aditya Shukla, Shubham Kumar Nigam, Debtanu Datta +5

Court Judgment Prediction and Explanation (CJPE) aims to predict a judicial decision and provide a legally grounded explanation for a given case based on the facts, legal issues, a…

cs.CL2026

MedAidDialog: A Multilingual Multi-Turn Medical Dialogue Dataset for Accessible Healthcare

Shubham Kumar Nigam, Suparnojit Sarkar, Piyush Patel

Conversational artificial intelligence has the potential to assist users in preliminary medical consultations, particularly in settings where access to healthcare professionals is…