3 citations · 9 across the 8 of their papers we have counts for
9 papers
AI4Contracts: LLM & RAG-Powered Encoding of Financial Derivative Contracts
Maruf Ahmed Mridul, Ian Sloyan, Aparna Gupta +1
Large Language Models (LLMs) and Retrieval-Augmented Generation (RAG) are reshaping how AI systems extract and organize information from unstructured text. A key challenge is desig…
FLAG: Financial Long Document Classification via AMR-based GNN
Bolun "Namir" Xia, Aparna Gupta, Mohammed J. Zaki
The advent of large language models (LLMs) has initiated much research into their various financial applications. However, in applying LLMs on long documents, semantic relations ar…
Fed-RD: Privacy-Preserving Federated Learning for Financial Crime Detection
Md. Saikat Islam Khan, Aparna Gupta, Oshani Seneviratne +1
We introduce Federated Learning for Relational Data (Fed-RD), a novel privacy-preserving federated learning algorithm specifically developed for financial transaction datasets part…
Smart Contracts, Smarter Payments: Innovating Cross Border Payments and Reporting Transactions
Maruf Ahmed Mridul, Kaiyang Chang, Aparna Gupta +1
The global financial landscape is experiencing significant transformation driven by technological advancements and evolving market dynamics. Moreover, blockchain technology has bec…
Deciphering Crypto Twitter
Inwon Kang, Maruf Ahmed Mridul, Abraham Sanders +4
Cryptocurrency is a fast-moving space, with a continuous influx of new projects every year. However, an increasing number of incidents in the space, such as hacks and security brea…
Blockchain Interoperability Landscape
Inwon Kang, Aparna Gupta, Oshani Seneviratne
Blockchain has become a popular emergent technology in many industries. It is suitable for a broad range of applications, from its base role as an immutable distributed ledger to t…
FETILDA: An Effective Framework For Fin-tuned Embeddings For Long Financial Text Documents
Bolun "Namir" Xia, Vipula D. Rawte, Mohammed J. Zaki +1
Unstructured data, especially text, continues to grow rapidly in various domains. In particular, in the financial sphere, there is a wealth of accumulated unstructured financial da…
Efficient Algorithms for Generating Provably Near-Optimal Cluster Descriptors for Explainability
Prathyush Sambaturu, Aparna Gupta, Ian Davidson +3
Improving the explainability of the results from machine learning methods has become an important research goal. Here, we study the problem of making clusters more interpretable by…
Decentralized Charging of Plug-In Electric Vehicles with Distribution Feeder Overload Control
Abouzar Ghavami, Koushik Kar, Aparna Gupta
As the number of charging Plug-in Electric Vehicles (PEVs) increase, due to the limited power capacity of the distribution feeders and the sensitivity of the mid-way distribution t…