Creating Explainable Summaries for Long Scientific Documents using Large Language Models

Appeared in: Open Search Symposium 2024, 9-11 October 2024, Leibniz Supercomputing Centre LRZ, Munich, Germany.

Institutions

Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2024-10-09
DOI
https://doi.org/10.5281/zenodo.13871185
Primary Topic
Topic Modeling
Type
article
Field-Weighted Citation Impact
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article

Creating Explainable Summaries for Long Scientific Documents using Large Language Models

Zenodo (CERN European Organization for Nuclear Research)
Topic Modeling
article

Creating Explainable Summaries for Long Scientific Documents using Large Language Models

article en

Abstract

Appeared in: Open Search Symposium 2024, 9-11 October 2024, Leibniz Supercomputing Centre LRZ, Munich, Germany.

Zenodo (CERN European Organization for Nuclear Research)
Graz University of Technology (AT), HS-Art Digital Service (Austria) (AT), European Organization for Nuclear Research (CH)
Industry, innovation and infrastructure
Openalex Percentile: Top 68%
Topic Modeling
DOIOpen Access PDFOpenAlex
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Creating Explainable Summaries for Long Scientific Documents using Large Language Models · Zenodo (CERN European Organization for Nuclear Research) (2024) | TGRS Research Map | TGRS