💡 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 ...

ABSTRACT: Since transformer-based language models were introduced in 2017, they have been shown to be extraordinarily effective across a variety of NLP tasks including but not limited to language ...

Abstract: Although graph neural networks based methods can solve the uneven text length problem of text classification datasets, they are difficult to address the data sparsity problem of short texts.

These days, our phones are constantly buzzing with notifications, and it's becoming increasingly difficult to distinguish between legitimate messages and potential scams. Bill from Mesa, Arizona, ...

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." ...