2 citations · 4 across the 6 of their papers we have counts for
6 papers
MACA: A Framework for Distilling Trustworthy LLMs into Efficient Retrievers
Satya Swaroop Gudipudi, Sahil Girhepuje, Ponnurangam Kumaraguru +1
Modern enterprise retrieval systems must handle short, underspecified queries such as ``foreign transaction fee refund'' and ``recent check status''. In these cases, semantic nuanc…
A Survey on Offensive AI Within Cybersecurity
Sahil Girhepuje, Aviral Verma, Gaurav Raina
Artificial Intelligence (AI) has witnessed major growth and integration across various domains. As AI systems become increasingly prevalent, they also become targets for threat act…
InSaAF: Incorporating Safety through Accuracy and Fairness | Are LLMs ready for the Indian Legal Domain?
Yogesh Tripathi, Raghav Donakanti, Sahil Girhepuje +7
Recent advancements in language technology and Artificial Intelligence have resulted in numerous Language Models being proposed to perform various tasks in the legal domain ranging…
RE-GAINS & EnChAnT: Intelligent Tool Manipulation Systems For Enhanced Query Responses
Sahil Girhepuje, Siva Sankar Sajeev, Purvam Jain +7
Large Language Models (LLMs) currently struggle with tool invocation and chaining, as they often hallucinate or miss essential steps in a sequence. We propose RE-GAINS and EnChAnT,…
Identifying and examining machine learning biases on Adult dataset
Sahil Girhepuje
This research delves into the reduction of machine learning model bias through Ensemble Learning. Our rigorous methodology comprehensively assesses bias across various categorical…
Are Models Trained on Indian Legal Data Fair?
Sahil Girhepuje, Anmol Goel, Gokul S Krishnan +4
Recent advances and applications of language technology and artificial intelligence have enabled much success across multiple domains like law, medical and mental health. AI-based…