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Bartxiv

Developed by JustinDu
BARTxiv is a summarization generation model fine-tuned on the arxiv-summarization dataset based on facebook/bart-large-cnn, specializing in academic paper summarization tasks.
Downloads 43
Release Time : 1/2/2023

Model Overview

This model is specifically designed for generating academic paper summaries, achieving Rouge1 41.70 and Rouge2 15.13 on the arxiv-summarization validation set.

Model Features

Academic paper summarization optimization
A summarization generation model specifically optimized and trained for arXiv academic papers
Based on BART architecture
Utilizes the BART-large architecture with powerful sequence-to-sequence generation capabilities
Efficient fine-tuning
Underwent 9 rounds of efficient fine-tuning on the arxiv-summarization dataset

Model Capabilities

Academic paper summarization generation
Long text compression
Key information extraction

Use Cases

Academic research
Automatic paper summarization
Generates concise and accurate summaries for academic papers on platforms like arXiv
Achieved Rouge1 41.70 on the validation set
Research literature preprocessing
Helps researchers quickly understand the core content of papers
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