A

Arxiv27k T5 Abst Title Gen

Developed by emre
A paper abstract-to-title generation model fine-tuned on mt5-small, trained for 4 hours on the arxiv dataset
Downloads 22
Release Time : 3/2/2022

Model Overview

This model is used to automatically generate corresponding titles based on academic paper abstracts, suitable for academic literature processing scenarios

Model Features

Fast Training
Only requires 4 hours of training to obtain a usable model
Academic Scenario Optimization
Specifically fine-tuned on arxiv paper abstract-title data
Lightweight
Based on mT5-small architecture, suitable for resource-limited environments

Model Capabilities

Text Summarization
Title Generation
Academic Text Processing

Use Cases

Academic Research
Automatic Paper Title Generation
Automatically generates appropriate titles based on paper abstracts
Rouge1 score 32.8, Rouge2 score 21.9
Academic Literature Processing
Batch processing of academic literature abstracts and generating standardized titles
Featured Recommended AI Models
AIbase
Empowering the Future, Your AI Solution Knowledge Base
© 2025AIbase