6 citations · 31 across the 20 of their papers we have counts for
6 papers · 1 filter
Abnormal Trading Detection in the NFT Market
Mingxiao Song, Yunsong Liu, Agam Shah +1
The Non-Fungible-Token (NFT) market has experienced explosive growth in recent years. According to DappRadar, the total transaction volume on OpenSea, the largest NFT marketplace,…
Shifting Cryptocurrency Influence: A High-Resolution Network Analysis of Market Leaders
Arnav Hiray, Pratvi Shah, Vishwa Shah +3
Over the last decade, the cryptocurrency market has experienced unprecedented growth, emerging as a prominent financial market. As this market rapidly evolves, it necessitates re-e…
Zero is Not Hero Yet: Benchmarking Zero-Shot Performance of LLMs for Financial Tasks
Agam Shah, Sudheer Chava
Recently large language models (LLMs) like ChatGPT have shown impressive performance on many natural language processing tasks with zero-shot. In this paper, we investigate the eff…
Trillion Dollar Words: A New Financial Dataset, Task & Market Analysis
Agam Shah, Suvan Paturi, Sudheer Chava
Monetary policy pronouncements by Federal Open Market Committee (FOMC) are a major driver of financial market returns. We construct the largest tokenized and annotated dataset of F…
The Universal NFT Vector Database: A Scaleable Vector Database for NFT Similarity Matching
Samrat Sahoo, Nitin Paul, Agam Shah +2
Non-Fungible Tokens (NFTs) are a type of digital asset that represents a proof of ownership over a particular digital item such as art, music, or real estate. Due to the non-fungib…
FiNER-ORD: Financial Named Entity Recognition Open Research Dataset
Agam Shah, Abhinav Gullapalli, Ruchit Vithani +2
Over the last two decades, the development of the CoNLL-2003 named entity recognition (NER) dataset has helped enhance the capabilities of deep learning and natural language proces…