activity
20192026
most citedReinforcement Learning for Optimizing RAG for Domain Chatbots

19 citations · 36 across the 9 of their papers we have counts for

collaborators

10 papers

cs.AI2026

Improving the Realism of Synthetic Clinical Benchmarks Under Utility Constraints

Omid Bazgir, Md Nasir, Jacob Hoffman +6

Synthetic clinical benchmarks for enterprise AI agents can pass existing utility checks and still remain structurally unrealistic, especially in privacy-sensitive healthcare settin…

cs.CL2025

Flippi: End To End GenAI Assistant for E-Commerce

Anand A. Rajasekar, Praveen Tangarajan, Anjali Nainani +4

The emergence of conversational assistants has fundamentally reshaped user interactions with digital platforms. This paper introduces Flippi-a cutting-edge, end-to-end conversation…

cs.CL2024★ 19 cited

Reinforcement Learning for Optimizing RAG for Domain Chatbots

Mandar Kulkarni, Praveen Tangarajan, Kyung Kim +1

With the advent of Large Language Models (LLM), conversational assistants have become prevalent for domain use cases. LLMs acquire the ability to contextual question answering thro…

eess.IV2021★ 1 cited

Retinal Microvasculature as Biomarker for Diabetes and Cardiovascular Diseases

Anusua Trivedi, Jocelyn Desbiens, Ron Gross +3

Purpose: To demonstrate that retinal microvasculature per se is a reliable biomarker for Diabetic Retinopathy (DR) and, by extension, cardiovascular diseases. Methods: Deep Learnin…

cs.SI2021★ 1 cited

Defending Democracy: Using Deep Learning to Identify and Prevent Misinformation

Anusua Trivedi, Alyssa Suhm, Prathamesh Mahankal +7

The rise in online misinformation in recent years threatens democracies by distorting authentic public discourse and causing confusion, fear, and even, in extreme cases, violence.…

cs.CY2021

Becoming Good at AI for Good

Meghana Kshirsagar, Caleb Robinson, Siyu Yang +13

AI for good (AI4G) projects involve developing and applying artificial intelligence (AI) based solutions to further goals in areas such as sustainability, health, humanitarian aid,…

cs.CV2021

Height Estimation of Children under Five Years using Depth Images

Anusua Trivedi, Mohit Jain, Nikhil Kumar Gupta +11

Malnutrition is a global health crisis and is the leading cause of death among children under five. Detecting malnutrition requires anthropometric measurements of weight, height, a…

eess.IV2020★ 1 cited

Improving Lesion Detection by exploring bias on Skin Lesion dataset

Anusua Trivedi, Sreya Muppalla, Shreyaan Pathak +4

All datasets contain some biases, often unintentional, due to how they were acquired and annotated. These biases distort machine-learning models' performance, creating spurious cor…

cs.LG2020★ 11 cited

privGAN: Protecting GANs from membership inference attacks at low cost

Sumit Mukherjee, Yixi Xu, Anusua Trivedi +1

Generative Adversarial Networks (GANs) have made releasing of synthetic images a viable approach to share data without releasing the original dataset. It has been shown that such s…

cs.LG2019★ 3 cited

Risks of Using Non-verified Open Data: A case study on using Machine Learning techniques for predicting Pregnancy Outcomes in India

Anusua Trivedi, Sumit Mukherjee, Edmund Tse +2

Artificial intelligence (AI) has evolved considerably in the last few years. While applications of AI is now becoming more common in fields like retail and marketing, application o…