3 papers
cs.IR2026
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…
cs.CL2024
Enhancing AI Safety Through the Fusion of Low Rank Adapters
Satya Swaroop Gudipudi, Sreeram Vipparla, Harpreet Singh +2
Instruction fine-tuning of large language models (LLMs) is a powerful method for improving task-specific performance, but it can inadvertently lead to a phenomenon where models gen…
cs.LG2022
ComplAI: Theory of A Unified Framework for Multi-factor Assessment of Black-Box Supervised Machine Learning Models
Arkadipta De, Satya Swaroop Gudipudi, Sourab Panchanan +1
The advances in Artificial Intelligence are creating new opportunities to improve lives of people around the world, from business to healthcare, from lifestyle to education. For ex…