Browse State-of-the-Art › Text Simplification
Text Simplification
129 papers with code · 11 benchmarks · 20 datasets archive 2025-07-28
Text Simplification is the task of reducing the complexity of the vocabulary and sentence structure of text while retaining its original meaning, with the goal of improving readability and understanding. Simplification has a variety of important societal applications, for example increasing accessibility for those with cognitive disabilities such as aphasia, dyslexia, and autism, or for non-native speakers and children with reading difficulties.
Description from the archive archive 2025-07-28.
Benchmarks archive 2025-07-28
11 leaderboard tables shown for this task, 11 with rows (a “benchmark” on this site is a table with at least one row, as on /sota), ordered by row count. “Best model” is the first row in the archive's own order at snapshot; nothing is re-ranked here and metric direction is not recorded in the archive. PwC's Trend sparklines are not in the archive, so that column is omitted. 10 shown of 11 until expanded.
Syntology column: samples harvested from the paper's repositories and executed on synthesized fixtures; “ran” is not a correctness claim and does not order the table. A dash means no Syntology record for that paper, not a recorded non-run. Read from the graph 2026-09-24.
Libraries
Not in the archive: the export carries no per-task library table, so there is nothing to show at snapshot 2025-07-28.
Datasets archive 2025-07-28
20 datasets whose archive record lists this task, ordered by the archive's paper count.
Subtasks archive 2025-07-28
No subtask under this task in the archive's task tree.
Most implemented papers archive 2025-07-28
30 shown of 129 papers with code (468 tagged with this task in all), ordered by repositories listed in the archive, not by stars (the archive holds no stars, so PwC's “Social” and “Latest” sorts cannot be reproduced). Papers without a page here are shown as plain text.
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28 Nov 2023 3 repositories listedThis study introduces Ascle, a pioneering natural language processing (NLP) toolkit designed for medical text generation.
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24 Mar 2020 3 repositories listed Syntology ran 3 of 5 samples · 2 unverified · 1 pointer-only (licence)We achieve this by decomposing the text-editing task into two sub-tasks: tagging to decide on the subset of input tokens and their order in the output text and insertion to in-fill the missing tokens in the output not…
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23 Feb 2025 2 repositories listedWe show that text simplification is the most effective MT-agnostic rewrite strategy and that it can be improved further when using quality estimation to assess translatability.
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15 May 2023 2 repositories listed Syntology ran 0 of 15 samples · 15 unverifiedDiffusion models have emerged as a powerful paradigm for generation, obtaining strong performance in various continuous domains.
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20 May 2022 2 repositories listedWe study lossless acceleration for seq2seq generation with a novel decoding algorithm -- Aggressive Decoding.
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18 Jan 2022 2 repositories listedTraditionally, Text Simplification is treated as a monolingual translation task where sentences between source texts and their simplified counterparts are aligned for training.
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15 Oct 2021 2 repositories listedPrefix-tuning is a powerful lightweight technique for adapting a large pre-trained language model to a downstream application.
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13 Jul 2020 2 repositories listedOur results show that our proposed HTSS model outperforms neural text simplification (NTS) on SARI score and abstractive text summarisation (ATS) on the ROUGE score.
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7 Oct 2019 2 repositories listedText simplification aims at making a text easier to read and understand by simplifying grammar and structure while keeping the underlying information identical.
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4 Apr 2019 2 repositories listedSentence simplification is the task of rewriting texts so they are easier to understand.
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27 Feb 2019 2 repositories listedWe author a set of rules for identifying a diverse set of discourse phenomena in raw text, and decomposing the text into two independent sentences.
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29 May 2025 1 repository listedAlthough MBR decoding is shown to be effective in a wide range of sentence-level text generation tasks, its performance on document-level text generation tasks is limited as many of the utility functions are designed…
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28 May 2025 1 repository listedThe PTD model surpasses automated metrics and provides a more reliable framework for evaluating paraphrase quality, advancing paraphrase-type research toward richer, user-aligned language generation and establishing a…
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17 Feb 2025 1 repository listedExperiment results on CEFR-SP and TurkCorpus datasets show that the proposed method can effectively increase the frequency and diversity of vocabulary of the target level by more than 20% compared to baseline models,…
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2 Dec 2024 1 repository listedText Simplification is a task that has been minimally explored for low-resource languages.
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10 Sep 2024 1 repository listedThe BERTScore metric is commonly used to evaluate automatic text simplification systems.
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27 Jun 2024 1 repository listedRadiology reports are highly technical documents aimed primarily at doctor-doctor communication.
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10 Apr 2024 1 repository listedText simplification seeks to improve readability while retaining the original content and meaning.
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4 Apr 2024 1 repository listedIn this work, we propose EASSE-multi, a framework for easier automatic sentence evaluation for languages other than English.
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26 Mar 2024 1 repository listedText simplification lacks a universal standard of quality, and annotated reference simplifications are scarce and costly.
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29 Feb 2024 1 repository listedText presented in augmented reality provides in-situ, real-time information for users.
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26 Feb 2024 1 repository listed Syntology ran 1 of 1 samples · 0 unverifiedWe introduce mEdIT, a multi-lingual extension to CoEdIT -- the recent state-of-the-art text editing models for writing assistance.
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16 Feb 2024 1 repository listedThis study pioneers the use of synthetically generated data for training generative models in document-level text simplification of German texts.
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30 Jan 2024 1 repository listedThis research addresses the limitations of pretrained models (PTMs) in generating accurate and comprehensive abstractive summaries for scientific articles, with a specific focus on the challenges posed by medical…
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29 Jan 2024 1 repository listedText simplification aims to make technical texts more accessible to laypeople but often results in deletion of information and vagueness.
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26 Jan 2024 1 repository listedOur innovative RLHF reward function surpassed existing RL text simplification reward functions in effectiveness.
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15 Dec 2023 1 repository listedIn this paper, we apply transformer-based Natural Language Generation (NLG) techniques to the problem of text simplification.
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15 Dec 2023 1 repository listedWith this framework, we conduct a thorough human evaluation of texts by humans and by nine automatic systems.
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24 Oct 2023 1 repository listed Syntology ran 7 of 8 samples · 1 unverifiedOur performance benchmark will be available as a resource for the development of future TS methods and evaluation metrics.
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20 Oct 2023 1 repository listed Syntology ran 4 of 5 samples · 1 unverifiedLarge Language Models (LLMs) evaluation is a patchy and inconsistent landscape, and it is becoming clear that the quality of automatic evaluation metrics is not keeping up with the pace of development of generative…
Syntology lines on 5 of the papers shown; no Syntology record for the others (a paper without an arXiv id cannot be joined to the graph, and absence from the graph layer is not a recorded non-run). “Ran” means the sample executed on a synthesized fixture, not that the paper's result was reproduced. Read from the graph 2026-09-24.
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