LLM-Guided Planning and Summary-Based Scientific Text Simplification: DS@GT at CLEF 2025 SimpleText

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Main Authors: Marturi, Krishna Chaitanya, Elwazzan, Heba H.
Format: Preprint
Published: 2025
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author Marturi, Krishna Chaitanya
Elwazzan, Heba H.
author_facet Marturi, Krishna Chaitanya
Elwazzan, Heba H.
contents In this paper, we present our approach for the CLEF 2025 SimpleText Task 1, which addresses both sentence-level and document-level scientific text simplification. For sentence-level simplification, our methodology employs large language models (LLMs) to first generate a structured plan, followed by plan-driven simplification of individual sentences. At the document level, we leverage LLMs to produce concise summaries and subsequently guide the simplification process using these summaries. This two-stage, LLM-based framework enables more coherent and contextually faithful simplifications of scientific text.
format Preprint
id arxiv_https___arxiv_org_abs_2508_11816
institution arXiv
publishDate 2025
record_format arxiv
spellingShingle LLM-Guided Planning and Summary-Based Scientific Text Simplification: DS@GT at CLEF 2025 SimpleText
Marturi, Krishna Chaitanya
Elwazzan, Heba H.
Computation and Language
In this paper, we present our approach for the CLEF 2025 SimpleText Task 1, which addresses both sentence-level and document-level scientific text simplification. For sentence-level simplification, our methodology employs large language models (LLMs) to first generate a structured plan, followed by plan-driven simplification of individual sentences. At the document level, we leverage LLMs to produce concise summaries and subsequently guide the simplification process using these summaries. This two-stage, LLM-based framework enables more coherent and contextually faithful simplifications of scientific text.
title LLM-Guided Planning and Summary-Based Scientific Text Simplification: DS@GT at CLEF 2025 SimpleText
topic Computation and Language
url https://arxiv.org/abs/2508.11816