Hierarchical Retrieval with Evidence Curation for Open-Domain Financial Question Answering on Standardized Documents

Automatic Transmission for LLM Tiers: Optimizing Cost and Accuracy in Large Language Models

CARE: A Framework for Correcting Numerical Hallucinations in LLM-Generated Financial Texts

Cardinality Estimation of LIKE Predicate Queries using Deep Learning

Improving Detail in Pluralistic Image Inpainting with Feature Dequantization

DP-FROST: Differentially Private Fine-tuning of Pre-trained Models with Freezing Model Parameters.

Machine learning-based real-time prediction of duodenal stump leakage from gastrectomy in gastric cancer patients

Semi-supervised Learning for Photovoltaic Cell Defect Detection Using Module and Cell Level Labels

Improving Messenger Phishing Detection Using Heterogeneous Phishing Data

Data Augmentation for Messenger Phishing Detection Using Large Language Models