63 citations · 151 across the 13 of their papers we have counts for
13 papers
Bayesian inference to improve quality of Retrieval Augmented Generation
Dattaraj Rao
Retrieval Augmented Generation or RAG is the most popular pattern for modern Large Language Model or LLM applications. RAG involves taking a user query and finding relevant paragra…
Biomedical Multi-hop Question Answering Using Knowledge Graph Embeddings and Language Models
Dattaraj J. Rao, Shraddha S. Mane, Mukta A. Paliwal
Biomedical knowledge graphs (KG) are heterogenous networks consisting of biological entities as nodes and relations between them as edges. These entities and relations are extracte…
Zero-shot learning approach to adaptive Cybersecurity using Explainable AI
Dattaraj Rao, Shraddha Mane
Cybersecurity is a domain where there is constant change in patterns of attack, and we need ways to make our Cybersecurity systems more adaptive to handle new attacks and categoriz…
Explaining Network Intrusion Detection System Using Explainable AI Framework
Shraddha Mane, Dattaraj Rao
Cybersecurity is a domain where the data distribution is constantly changing with attackers exploring newer patterns to attack cyber infrastructure. Intrusion detection system is o…
Contextual Bandits for adapting to changing User preferences over time
Dattaraj Rao
Contextual bandits provide an effective way to model the dynamic data problem in ML by leveraging online (incremental) learning to continuously adjust the predictions based on chan…
Digital Twin approach to Clinical DSS with Explainable AI
Dattaraj Jagdish Rao, Shraddha Mane
We propose a digital twin approach to improve healthcare decision support systems with a combination of domain knowledge and data. Domain knowledge helps build decision thresholds…