Text Simplification
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Benchmarks
TurkCorpus
Newsela
ASSET
PWKP / WikiSmall
DEplain-APA-doc
DEplain-web-doc
EurekaAlert
DEplain-APA-sent
DEplain-web-sent
WikiLargeFR
Wiki-Auto + Turk
Most implemented
Felix: Flexible Text Editing Through Tagging and Insertion
Automatic Input Rewriting Improves Translation with Large Language Models
TESS: Text-to-Text Self-Conditioned Simplex Diffusion
Lossless Acceleration for Seq2seq Generation with Aggressive Decoding
Klexikon: A German Dataset for Joint Summarization and Simplification
Papers
Reinforcement Learning for improving Large Language Models' Catalan text simplification capabilities
Although automatic text simplification (ATS) is critical for accessibility, its progress has not matched the rapid evolution of broader natural language processing techniques. This paper investigates the application of r…
Cross-Lingual TransferReinforcement LearningText SimplificationSimpCue: Cue-Based Prompting for Multilingual Text Simplification
Text simplification aims to make complex texts easier to understand while preserving their original meaning. Recent large language models can perform simplification through prompting, but it remains unclear whether addin…
Text SimplificationRALS: Resources and Baselines for Romanian Automatic Lexical Simplification
We introduce the first dataset that jointly covers both lexical complexity prediction (LCP) annotations and lexical simplification (LS) for Romanian, along with a comparison of lexical simplification approaches. We propo…
Text SimplificationAlign and Shine: Building High-Quality Sentence-Aligned Corpora for Multilingual Text Simplification
Text simplification plays a crucial role in improving the accessibility and comprehensibility of written information for diverse audiences, including language learners and readers with limited literacy. Despite its impor…
Text SimplificationTranslate or Simplify First: An Analysis of Cross-lingual Text Simplification in English and French
Cross-Lingual Text Simplification (CLTS) aims to make content more accessible across languages by simultaneously addressing both linguistic complexity and translation. This study investigates the effectiveness of differe…
Text SimplificationFrom Benchmarking to Reasoning: A Dual-Aspect, Large-Scale Evaluation of LLMs on Vietnamese Legal Text
The complexity of Vietnam's legal texts presents a significant barrier to public access to justice. While Large Language Models offer a promising solution for legal text simplification, evaluating their true capabilities…
Text SimplificationLegal Reasoning