activity
20242026
collaborators

11 papers

cs.CL2026

A Tree-of-Thoughts Inspired Hybrid Approach for Legal Case Judgement Summarization using LLMs

Aniket Deroy, Kripabandhu Ghosh, Saptarshi Ghosh

In recent times, Large Language Models (LLMs) are increasingly being used for legal case judgement summarization. Most prior works have tried traditional extractive and abstractive…

cs.AI2025

Judging by Appearances? Auditing and Intervening Vision-Language Models for Bail Prediction

Sagnik Basu, Shubham Prakash, Ashish Maruti Barge +4

Large language models (LLMs) have been extensively used for legal judgment prediction tasks based on case reports and crime history. However, with a surge in the availability of la…

cs.LG2025

RSTGCN: Railway-centric Spatio-Temporal Graph Convolutional Network for Train Delay Prediction

Koyena Chowdhury, Paramita Koley, Abhijnan Chakraborty +1

Accurate prediction of train delays is critical for efficient railway operations. While earlier approaches have largely focused on forecasting the exact delays of individual trains…

cs.CL2025

MARRO: Multi-headed Attention for Rhetorical Role Labeling in Legal Documents

Purbid Bambroo, Subinay Adhikary, Paheli Bhattacharya +3

Identification of rhetorical roles like facts, arguments, and final judgments is central to understanding a legal case document and can lend power to other downstream tasks like le…

cs.CY2024

Sponsored is the New Organic: Implications of Sponsored Results on Quality of Search Results in the Amazon Marketplace

Abhisek Dash, Saptarshi Ghosh, Animesh Mukherjee +2

Interleaving sponsored results (advertisements) amongst organic results on search engine result pages (SERP) has become a common practice across multiple digital platforms. Adverti…

cs.CV2024

Breaking the Global North Stereotype: A Global South-centric Benchmark Dataset for Auditing and Mitigating Biases in Facial Recognition Systems

Siddharth D Jaiswal, Animesh Ganai, Abhisek Dash +2

Facial Recognition Systems (FRSs) are being developed and deployed globally at unprecedented rates. Most platforms are designed in a limited set of countries but deployed in worldw…