3 papers
cs.IR2025
Better with Less: Small Proprietary Models Surpass Large Language Models in Financial Transaction Understanding
Wanying Ding, Savinay Narendra, Xiran Shi +4
Analyzing financial transactions is crucial for ensuring regulatory compliance, detecting fraud, and supporting decisions. The complexity of financial transaction data necessitates…
cs.LG2025
JEL: A Novel Model Linking Knowledge Graph entities to News Mentions
Michael Kishelev, Pranab Bhadani, Wanying Ding +1
We present JEL, a novel computationally efficient end-to-end multi-neural network based entity linking model, which beats current state-of-art model. Knowledge Graphs have emerged…
cs.IR2024
JPEC: A Novel Graph Neural Network for Competitor Retrieval in Financial Knowledge Graphs
Wanying Ding, Manoj Cherukumalli, Santosh Chikoti +1
Knowledge graphs have gained popularity for their ability to organize and analyze complex data effectively. When combined with graph embedding techniques, such as graph neural netw…