The project is one of several community-focused initiatives demonstrating UVA’s commitment to serving the commonwealth and ...
Abstract: Hierarchical Text Classification (HTC) is a challenging task where labels are structured in a tree or Directed Acyclic Graph (DAG) format. Current approaches often struggle with data ...
Abstract: The growing volume of unstructured text data in the banking sector has created a need for advanced classification methods to manage customer inquiries efficiently, resulting in faster ...
💡 TL;DR: Given an image and nothing else (i.e. no prompts or candidate labels), NOVIC can generate an accurate fine-grained textual classification label in real-time, with coverage of the vast ...
New claims for unemployment benefits rose more than expected last week, signaling growing weakness in the labor market. But if the job market is weak, why are people getting all those texts offering ...
Service-based organizations may handle thousands of customer emails daily, placing a significant burden on IT help desks, customer service organizations, and other departments involved in reading, ...
In recent decades, medical short texts, such as medical conversations and online medical inquiries, have garnered significant attention and research. The advances in the medical short text have ...
This repository contains replication materials for Youngjin (YJ) Chae and Thomas Davidson. 2025. "Large Language Models for Text Classification: From Zero-Shot Learning to Instruction-Tuning." ...
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