Document-Level Text Simplification in Estonian Using Large Language Models

cs.CL

Submitted: 2026-10-07

Updated: 2026-10-07

Comments: 12 pages, 2 figures, 2 tables. Published at LREC 2026

Journal ref: Proceedings of the Fifteenth Language Resources and Evaluation Conference (LREC 2026), pp. 7225-7235, 2026

DOI: 10.63317/3ndqrcjckj32

Code: https://github.com/Tiiiger/bert_score

License: http://arxiv.org/licenses/nonexclusive-distrib/1.0/

Sources

• Progressive Document-level Text Simplification via Large Language Models
• GPT-4 Technical Report
• Simple is not Enough: Document-level Text Simplification using Readability and Coherence
• BERTScore: Evaluating Text Generation with BERT

Related papers

• Exploring Solution Divergence and Its Effect on Large Language Model Problem Solving
• Ishigaki-IDS-Bench: A Benchmark for Generating Information Delivery Specification from BIM Information Requirements
• Subliminal Steering: Stronger Encoding of Hidden Signals
• MedStruct-S: A Benchmark for Key Discovery, Key-Conditioned QA and Semi-Structured Extraction from OCR Clinical Reports
• The End of Transformers? On Challenging Attention and the Rise of Sub-Quadratic Architectures
• Untangling the Mechanisms of Misleading Context in Medical Question Answering