Proposal Report for the 2nd SciCAP Competition 2024

Pengpeng Li, Tingmin Li, Jingyuan Wang, Boyuan Wang, Yang Yang
7/2/2024
cs.CL

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Abstract

In this paper, we propose a method for document summarization using auxiliary information. This approach effectively summarizes descriptions related to specific images, tables, and appendices within lengthy texts. Our experiments demonstrate that leveraging high-quality OCR data and initially extracted information from the original text enables efficient summarization of the content related to described objects. Based on these findings, we enhanced popular text generation model models by incorporating additional auxiliary branches to improve summarization performance. Our method achieved top scores of 4.33 and 4.66 in the long caption and short caption tracks, respectively, of the 2024 SciCAP competition, ranking highest in both categories.

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Cite this paper

@article{li2024proposal,
  title  = {Proposal Report for the 2nd SciCAP Competition 2024},
  author = {Pengpeng Li and Tingmin Li and Jingyuan Wang and Boyuan Wang and Yang Yang},
  year   = {2024},
  eprint = {2407.01897},
  archivePrefix = {arXiv},
  url    = {http://arxiv.org/abs/2407.01897v1}
}

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