19 citations · 20 across the 9 of their papers we have counts for
9 papers
Private Federated Learning In Real World Application -- A Case Study
An Ji, Bortik Bandyopadhyay, Congzheng Song +7
This paper presents an implementation of machine learning model training using private federated learning (PFL) on edge devices. We introduce a novel framework that uses PFL to add…
Retrieval Augmented Correction of Named Entity Speech Recognition Errors
Ernest Pusateri, Anmol Walia, Anirudh Kashi +6
In recent years, end-to-end automatic speech recognition (ASR) systems have proven themselves remarkably accurate and performant, but these systems still have a significant error r…
Applying RLAIF for Code Generation with API-usage in Lightweight LLMs
Sujan Dutta, Sayantan Mahinder, Raviteja Anantha +1
Reinforcement Learning from AI Feedback (RLAIF) has demonstrated significant potential across various domains, including mitigating harm in LLM outputs, enhancing text summarizatio…
ProTIP: Progressive Tool Retrieval Improves Planning
Raviteja Anantha, Bortik Bandyopadhyay, Anirudh Kashi +3
Large language models (LLMs) are increasingly employed for complex multi-step planning tasks, where the tool retrieval (TR) step is crucial for achieving successful outcomes. Two p…
DrugDBEmbed : Semantic Queries on Relational Database using Supervised Column Encodings
Bortik Bandyopadhyay, Pranav Maneriker, Vedang Patel +3
Traditional relational databases contain a lot of latent semantic information that have largely remained untapped due to the difficulty involved in automatically extracting such in…
Understanding Knowledge Gaps in Visual Question Answering: Implications for Gap Identification and Testing
Goonmeet Bajaj, Bortik Bandyopadhyay, Daniel Schmidt +3
Visual Question Answering (VQA) systems are tasked with answering natural language questions corresponding to a presented image. Traditional VQA datasets typically contain question…
Automatic Table completion using Knowledge Base
Bortik Bandyopadhyay, Xiang Deng, Goonmeet Bajaj +2
Table is a popular data format to organize and present relational information. Users often have to manually compose tables when gathering their desiderate information (e.g., entiti…
ATP: Directed Graph Embedding with Asymmetric Transitivity Preservation
Jiankai Sun, Bortik Bandyopadhyay, Armin Bashizade +3
Directed graphs have been widely used in Community Question Answering services (CQAs) to model asymmetric relationships among different types of nodes in CQA graphs, e.g., question…
Cognitive Database: A Step towards Endowing Relational Databases with Artificial Intelligence Capabilities
Rajesh Bordawekar, Bortik Bandyopadhyay, Oded Shmueli
We propose Cognitive Databases, an approach for transparently enabling Artificial Intelligence (AI) capabilities in relational databases. A novel aspect of our design is to first v…