68 citations · 173 across the 8 of their papers we have counts for
8 papers
Enhancing Domain-Specific Retrieval-Augmented Generation: Synthetic Data Generation and Evaluation using Reasoning Models
Aryan Jadon, Avinash Patil, Shashank Kumar
Retrieval-Augmented Generation (RAG) systems face significant performance gaps when applied to technical domains requiring precise information extraction from complex documents. Cu…
English Please: Evaluating Machine Translation with Large Language Models for Multilingual Bug Reports
Avinash Patil, Siru Tao, Aryan Jadon
Accurate translation of bug reports is critical for efficient collaboration in global software development. In this study, we conduct the first comprehensive evaluation of machine…
A Comprehensive Survey of Evaluation Techniques for Recommendation Systems
Aryan Jadon, Avinash Patil
The effectiveness of recommendation systems is pivotal to user engagement and satisfaction in online platforms. As these recommendation systems increasingly influence user choices,…
Global Message Ordering using Distributed Kafka Clusters
Shashank Kumar, Aryan Jadon, Sachin Sharma
In contemporary distributed systems, logs are produced at an astounding rate, generating terabytes of data within mere seconds. These logs, containing pivotal details like system m…
Leveraging Generative AI Models for Synthetic Data Generation in Healthcare: Balancing Research and Privacy
Aryan Jadon, Shashank Kumar
The widespread adoption of electronic health records and digital healthcare data has created a demand for data-driven insights to enhance patient outcomes, diagnostics, and treatme…
Auto-labelling of Bug Report using Natural Language Processing
Avinash Patil, Aryan Jadon
The exercise of detecting similar bug reports in bug tracking systems is known as duplicate bug report detection. Having prior knowledge of a bug report's existence reduces efforts…
A Comprehensive Survey of Regression Based Loss Functions for Time Series Forecasting
Aryan Jadon, Avinash Patil, Shruti Jadon
Time Series Forecasting has been an active area of research due to its many applications ranging from network usage prediction, resource allocation, anomaly detection, and predicti…
An Overview of Deep Learning Architectures in Few-Shot Learning Domain
Shruti Jadon, Aryan Jadon
Since 2012, Deep learning has revolutionized Artificial Intelligence and has achieved state-of-the-art outcomes in different domains, ranging from Image Classification to Speech Ge…