Who cites «Optimizing Statistical Machine Translation for Text Simplification»
- A Benchmark for Overgeneration Detection in Biomedical Text Simplification — 2026 · Proceedings of the 2nd Workshop on Evaluating Text Difficulty in a Multilingual Context (DeTermIt! 2026)
- A Human-in/on-the-Loop Framework for Accessible Text Generation — 2026 · Proceedings of the Fifteenth Language Resources and Evaluation Conference
- A Multilingual Human Annotated Corpus of Original and Easy-to-Read Texts to Support Access to Democratic Participatory Processes — 2026 · Proceedings of the Fifteenth Language Resources and Evaluation Conference
- Assessing Small Language Models as Text Simplification Evaluators — 2026 · Proceedings of the 2nd Workshop on Evaluating Text Difficulty in a Multilingual Context (DeTermIt! 2026)
- Automatic Simplification of Common Vulnerabilities and Exposures Descriptions — 2026 · arXiv:2602.11982
- Automatic Text Simplification for French Medical Documents with LLMs: The Role of Target Audience and Genre — 2026 · Proceedings of the Joint Workshop on Readability and Text Simplification (READIxTSAR) @ LREC 2026
- Beyond One-Size-Fits-All: Multi-Agent Refinement Framework for Persona-Based Biomedical Summarization — 2026 · Proceedings of the Third Workshop on Patient-Oriented Language Processing (CL4Health) @ LREC 2026
- ComplexityMT: Benchmarking the Interaction Between Text Complexity and Machine Translation — 2026 · arXiv:2606.05421
- Controllable Sentence Simplification in Italian: Fine-Tuning Large Language Models on Automatically Generated Resources — 2026 · Proceedings of the Fifteenth Language Resources and Evaluation Conference
- Document-Level Text Simplification in Estonian Using Large Language Models — 2026 · Proceedings of the Fifteenth Language Resources and Evaluation Conference
- Emotion-aware text simplification of user generated content using LLMs — 2026 · The Proceedings for the 15th Workshop on Computational Approaches to Subjectivity, Sentiment Social Media Analysis (WASSA 2026)
- Evaluation of Document-Level Text Simplification in Japanese — 2026 · Proceedings of the Fifteenth Language Resources and Evaluation Conference
- Exploring Cognitively Informed Sentence Simplification with Gaze-Guided Text Generation — 2026 · Proceedings fo the Second International Workshop on Eye-Tracking Resources and Evaluation for Human-Aligned NLP
- HULAT2 at MER-TRANS 2026: Governed Multi-Agent Simplification for Spanish Easy-to-Read Generation — 2026 · arXiv:2607.02381
- Intention-Adaptive LLM Fine-Tuning for Text Revision Generation — 2026 · Findings of the Association for Computational Linguistics: EACL 2026
- LLM-Generated Stories for Students with Significant Cognitive Disabilities: Promise, Gaps, and Evaluation Framework — 2026 · Proceedings of the Joint Workshop on Readability and Text Simplification (READIxTSAR) @ LREC 2026
- LegalSim-PT: Building a Dataset for Legal Document Simplification in Portuguese Leveraging Linguistic Metrics — 2026 · Proceedings of the 17th International Conference on Computational Processing of Portuguese (PROPOR 2026) - Vol. 1
- Let''s Simplify Step by Step: Guiding LLM Towards Multilingual Unsupervised Proficiency-Controlled Sentence Simplification — 2026 · Findings of the Association for Computational Linguistics: EACL 2026
- Mask-to-Correct$^+$: Leveraging Retriever Diversity for Masking-guided Faithful Fact Correction — 2026 · Proceedings of the 64th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)
- Medical Text Rewriting for Non-Experts: A Guideline-Driven LLM Approach — 2026 · Proceedings of the Third Workshop on Patient-Oriented Language Processing (CL4Health) @ LREC 2026
- MuTSE: A Human-in-the-Loop Multi-use Text Simplification Evaluator — 2026 · arXiv:2604.08947
- OasisSimp: An Open-source Asian-English Sentence Simplification Dataset — 2026 · Proceedings of the Fifteenth Language Resources and Evaluation Conference
- Opportunities and Challenges of LLMs in Education: An NLP Perspective — 2026 · Proceedings of the 21st Workshop on Innovative Use of NLP for Building Educational Applications (BEA 2026)
- Overview of the ArchEHR-QA 2026 Shared Task on Grounded Question Answering from Electronic Health Records — 2026 · Proceedings of the Third Workshop on Patient-Oriented Language Processing (CL4Health) @ LREC 2026
- Parallel Corpus Filtering Based on Semantic Similarity and Surface Dissimilarity for Japanese Text Simplification with LLMs — 2026 · Proceedings of the Fifteenth Language Resources and Evaluation Conference
- Plan-Guided Text Simplification with Extended Contexts — 2026 · Proceedings of the Joint Workshop on Readability and Text Simplification (READIxTSAR) @ LREC 2026
- Proficiency-Controlled Text Simplification in European Portuguese: A Preliminary Study using Prompting Approaches — 2026 · Proceedings of the Joint Workshop on Readability and Text Simplification (READIxTSAR) @ LREC 2026
- Readability Measures in Automatic Text Simplification: Is Simplification Quality a Coherent Construct? — 2026 · Proceedings of the Joint Workshop on Readability and Text Simplification (READIxTSAR) @ LREC 2026
- Reinforcement Learning for improving Large Language Models' Catalan text simplification capabilities — 2026 · arXiv:2609.04823
- Right at My Level: A Unified Multilingual Framework for Proficiency-Aware Text Simplification — 2026 · Proceedings of the 64th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)
- SLoRA: Balancing Plasticity and Forgetting in Large Language Models for Continual Learning — 2026 · Proceedings of the 64th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)
- SimpCue: Cue-Based Prompting for Multilingual Text Simplification — 2026 · arXiv:2608.28042
- SimpliMED: Automatic Simplification of Cardiology Discharge Reports Using Large Language Models — 2026 · Proceedings of the Third Workshop on Patient-Oriented Language Processing (CL4Health) @ LREC 2026
- Simplify-Pro: A Two-level and Progressive LLM-based Framework for Auto Long Text Simplification — 2026 · Findings of the Association for Computational Linguistics: ACL 2026
- TAMU-NLP at ArchEHR-QA 2026: Grounded Clinical QA with Evidence Identification and Intent-Aware Answer Generation — 2026 · Proceedings of the Third Workshop on Patient-Oriented Language Processing (CL4Health) @ LREC 2026
- Taming CATS: Controllable Automatic Text Simplification through Instruction Fine-Tuning with Control Tokens — 2026 · Proceedings of the Joint Workshop on Readability and Text Simplification (READIxTSAR) @ LREC 2026
- Translate or Simplify First: An Analysis of Cross-lingual Text Simplification in English and French — 2026 · arXiv:2604.23844
- ``Decode the Law'''': Towards Legal Text Simplification with Large Language Models — 2026 · Proceedings of the Fifteenth Language Resources and Evaluation Conference
- sebis at ArchEHR-QA 2026: How Much Can You Do Locally? Evaluating Grounded EHR QA on a Single Notebook — 2026 · Proceedings of the Third Workshop on Patient-Oriented Language Processing (CL4Health) @ LREC 2026
- tt501 at ArchEHR-QA 2026: Few-Shot Prompting with Retrieval-Augmented Generation for Grounded Clinical EHR Question Answering — 2026 · Proceedings of the Third Workshop on Patient-Oriented Language Processing (CL4Health) @ LREC 2026
- APIO: Automatic Prompt Induction and Optimization for Grammatical Error Correction and Text Simplification — 2025 · Proceedings of the 15th International Conference on Recent Advances in Natural Language Processing - Natural Language Processing in the Generative AI Era
- Adapting Sentence-level Automatic Metrics for Document-level Simplification Evaluation — 2025 · Proceedings of the 2025 Conference of the Nations of the Americas Chapter of the Association for Computational Linguistics: Human Language Technologies (Volume 1: Long Papers)
- Aligning Sentence Simplification with ESL Learner's Proficiency for Language Acquisition — 2025 · Proceedings of the 2025 Conference of the Nations of the Americas Chapter of the Association for Computational Linguistics: Human Language Technologies (Volume 1: Long Papers)
- Analysing Zero-Shot Readability-Controlled Sentence Simplification — 2025 · Proceedings of the 31st International Conference on Computational Linguistics
- Classic4Children: Adapting Chinese Literary Classics for Children with Large Language Model — 2025 · Findings of the Association for Computational Linguistics: NAACL 2025
- Collaborative Document Simplification Using Multi-Agent Systems — 2025 · Proceedings of the 31st International Conference on Computational Linguistics
- DMIS Lab at ArchEHR-QA 2025: Evidence-Grounded Answer Generation for EHR-based QA via a Multi-Agent Framework — 2025 · Proceedings of the 24th Workshop on Biomedical Language Processing (Shared Tasks)
- Efficient On-Device Text Simplification for Firefox with Synthetic Data Fine-Tuning — 2025 · Proceedings of the Fourth Workshop on Text Simplification, Accessibility and Readability (TSAR 2025)
- Estimation of Text Difficulty in the Context of Language Learning — 2025 · Proceedings of the 20th Workshop on Innovative Use of NLP for Building Educational Applications (BEA 2025)
- Evaluating LLMs for Portuguese Sentence Simplification with Linguistic Insights — 2025 · Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)
- Evaluating the Effectiveness of Direct Preference Optimization for Personalizing German Automatic Text Simplifications for Persons with Intellectual Disabilities — 2025 · arXiv:2507.01479
- Evaluation Under Imperfect Benchmarks and Ratings: A Case Study in Text Simplification — 2025 · arXiv:2504.09394
- Evaluation of Machine Translation Errors in German Plain Language Texts in the Domain of Health Information — 2025 · Proceedings of the 21st Conference on Natural Language Processing (KONVENS 2025): Workshops
- From Complex Word Identification to Substitution: Instruction-Tuned Language Models for Lexical Simplification — 2025 · Proceedings of the 14th Joint Conference on Lexical and Computational Semantics (*SEM 2025)
- Generating Complex Question Decompositions in the Face of Distribution Shifts — 2025 · Proceedings of the 2025 Conference of the Nations of the Americas Chapter of the Association for Computational Linguistics: Human Language Technologies (Volume 1: Long Papers)
- Generating and Evaluating Multi-Level Text Simplification: A Case Study on Italian — 2025 · Proceedings of the Eleventh Italian Conference on Computational Linguistics (CLiC-it 2025)
- German4All – A Dataset and Model for Readability-Controlled Paraphrasing in German — 2025 · Proceedings of the 18th International Natural Language Generation Conference
- Identifying Reliable Evaluation Metrics for Scientific Text Revision — 2025 · Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)
- Improving Estonian Text Simplification through Pretrained Language Models and Custom Datasets — 2025 · Proceedings of the 15th International Conference on Recent Advances in Natural Language Processing - Natural Language Processing in the Generative AI Era
- Improving Text Style Transfer using Masked Diffusion Language Models with Inference-time Scaling — 2025 · arXiv:2508.10995
- LLM-Guided Planning and Summary-Based Scientific Text Simplification: DS@GT at CLEF 2025 SimpleText — 2025 · arXiv:2508.11816
- LLM-based Text Simplification and its Effect on User Comprehension and Cognitive Load — 2025 · arXiv:2505.01980
- Making Knowledge Accessible: Divergent Readability-Accuracy Strategies of Mistral and QWen in Biomedical Text Simplification — 2025 · arXiv:2511.05080
- MultiMSD: A Corpus for Multilingual Medical Text Simplification from Online Medical References — 2025 · Findings of the Association for Computational Linguistics: ACL 2025
- Neural at ArchEHR-QA 2025: Agentic Prompt Optimization for Evidence-Grounded Clinical Question Answering — 2025 · Proceedings of the 24th Workshop on Biomedical Language Processing (Shared Tasks)
- OpeNLGauge: An Explainable Metric for NLG Evaluation with Open-Weights LLMs — 2025 · Proceedings of the 18th International Natural Language Generation Conference
- ParaRev : Building a dataset for Scientific Paragraph Revision annotated with revision instruction — 2025 · Proceedings of the First Workshop on Writing Aids at the Crossroads of AI, Cognitive Science and NLP (WRAICOGS 2025)
- Patent-CR: A Dataset for Patent Claim Revision — 2025 · Proceedings of the 2025 Conference of the Nations of the Americas Chapter of the Association for Computational Linguistics: Human Language Technologies (Volume 1: Long Papers)
- Policy-based Sentence Simplification: Replacing Parallel Corpora with LLM-as-a-Judge — 2025 · arXiv:2512.06228
- Readability Measures and Automatic Text Simplification: In the Search of a Construct — 2025 · arXiv:2511.09536
- Sci-LoRA: Mixture of Scientific LoRAs for Cross-Domain Lay Paraphrasing — 2025 · Findings of the Association for Computational Linguistics: ACL 2025
- Simplifying Lithuanian text into Easy-to-Read language using large language models — 2025 · Proceedings of the 1st Workshop on Artificial Intelligence and Easy and Plain Language in Institutional Contexts (AI & EL/PL)
- Steering Large Language Models with Register Analysis for Arbitrary Style Transfer — 2025 · arXiv:2505.00679
- SynDec: A Synthesize-then-Decode Approach for Arbitrary Textual Style Transfer via Large Language Models — 2025 · arXiv:2505.12821
- THM@SimpleText 2025 -- Task 1.1: Revisiting Text Simplification based on Complex Terms for Non-Experts — 2025 · arXiv:2507.04414
- Text Simplification with Sentence Embeddings — 2025 · arXiv:2510.24365
- VTechAGP: An Academic-to-General-Audience Text Paraphrase Dataset and Benchmark Models — 2025 · Proceedings of the 2025 Conference of the Nations of the Americas Chapter of the Association for Computational Linguistics: Human Language Technologies (Volume 1: Long Papers)
- A Document-Level Text Simplification Dataset for Japanese — 2024 · Proceedings of the 2024 Joint International Conference on Computational Linguistics, Language Resources and Evaluation (LREC-COLING 2024)
- APPLS: Evaluating Evaluation Metrics for Plain Language Summarization — 2024 · Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing
- ARTS: Assessing Readability & Text Simplicity — 2024 · Findings of the Association for Computational Linguistics: EMNLP 2024
- Aman Saini; Artem Chernodub; Vipul Raheja; Vivek Kulkarni. Spivavtor: An Instruction Tuned Ukrainian Text Editing Model // UNLP 2024 @ LREC-COLING — 2024 · UNLP 2024 @ LREC-COLING
- An In-depth Evaluation of Large Language Models in Sentence Simplification with Error-based Human Assessment — 2024 · arXiv:2403.04963
- Automatic Metrics in Natural Language Generation: A survey of Current Evaluation Practices — 2024 · Proceedings of the 17th International Natural Language Generation Conference
- Automatic Text Simplification: A Comparative Study in Italian for Children with Language Disorders — 2024 · Proceedings of the 13th Workshop on Natural Language Processing for Computer Assisted Language Learning
- BATS: BenchmArking Text Simplicity 🦇 — 2024 · Findings of the Association for Computational Linguistics: ACL 2024
- Benchmarking the Simplification of Dutch Municipal Text — 2024 · Proceedings of the 2024 Joint International Conference on Computational Linguistics, Language Resources and Evaluation (LREC-COLING 2024)
- Beyond Sentence-level Text Simplification: Reproducibility Study of Context-Aware Document Simplification — 2024 · Proceedings of the Workshop on DeTermIt! Evaluating Text Difficulty in a Multilingual Context @ LREC-COLING 2024
- CASIMIR: A Corpus of Scientific Articles Enhanced with Multiple Author-Integrated Revisions — 2024 · Proceedings of the 2024 Joint International Conference on Computational Linguistics, Language Resources and Evaluation (LREC-COLING 2024)
- Clearer Governmental Communication: Text Simplification with ChatGPT Evaluated by Quantitative and Qualitative Research — 2024 · Proceedings of the Workshop on DeTermIt! Evaluating Text Difficulty in a Multilingual Context @ LREC-COLING 2024
- Controllable Sentence Simplification in Swedish Using Control Prefixes and Mined Paraphrases — 2024 · Proceedings of the 2024 Joint International Conference on Computational Linguistics, Language Resources and Evaluation (LREC-COLING 2024)
- DIMSIM: Distilled Multilingual Critics for Indic Text Simplification — 2024 · Findings of the Association for Computational Linguistics: ACL 2024
- Do Text Simplification Systems Preserve Meaning? A Human Evaluation via Reading Comprehension — 2024 · Transactions of the Association for Computational Linguistics
- Document-level Claim Extraction and Decontextualisation for Fact-Checking — 2024 · Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)
- EASSE-DE & EASSE-multi: Easier Automatic Sentence Simplification Evaluation for German & Multiple Languages — 2024 · Proceedings of the Third Workshop on Text Simplification, Accessibility and Readability (TSAR 2024)
- EASSE-DE: Easier Automatic Sentence Simplification Evaluation for German — 2024 · arXiv:2404.03563
- Edit-Constrained Decoding for Sentence Simplification — 2024 · Findings of the Association for Computational Linguistics: EMNLP 2024
- Enhancing Sentence Simplification in Portuguese: Leveraging Paraphrases, Context, and Linguistic Features — 2024 · Findings of the Association for Computational Linguistics: ACL 2024
- Evaluating Document Simplification: On the Importance of Separately Assessing Simplicity and Meaning Preservation — 2024 · Proceedings of the 3rd Workshop on Tools and Resources for People with REAding DIfficulties (READI) @ LREC-COLING 2024
- Evaluation Dataset for Japanese Medical Text Simplification — 2024 · Proceedings of the 2024 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (Volume 4: Student Research Workshop)
- Evaluation of intralingual machine translation for health communication — 2024 · Proceedings of the 25th Annual Conference of the European Association for Machine Translation (Volume 1)
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