Imagen de Portada

Simple is not Enough: Document-level Text Simplification using Readability and Coherence

Fuente: arXiv

Guardado en:

Detalles Bibliográficos
Autores principales:	Vásquez-Rodríguez, Laura, Nguyen, Nhung T. H., Przybyła, Piotr, Shardlow, Matthew, Ananiadou, Sophia
Formato:	Preprint
Publicado:	2024
Materias:	Computation and Language
Acceso en línea:	Acceder al recurso
Etiquetas:	Agregar Etiqueta Sin Etiquetas, Sea el primero en etiquetar este registro!

Ejemplares similares

Deanthropomorphising NLP: Can a Language Model Be Conscious?
por: Shardlow, Matthew, et al.
Publicado: (2022)

Text Simplification with Sentence Embeddings
por: Shardlow, Matthew
Publicado: (2025)

Large Language Models for Biomedical Text Simplification: Promising But Not There Yet
por: Li, Zihao, et al.
Publicado: (2024)

MultiLS: A Multi-task Lexical Simplification Framework
por: North, Kai, et al.
Publicado: (2024)

Investigating Large Language Models and Control Mechanisms to Improve Text Readability of Biomedical Abstracts
por: Li, Zihao, et al.
Publicado: (2023)

PolQA: Polish Question Answering Dataset
por: Rybak, Piotr, et al.
Publicado: (2022)

Readability Measures and Automatic Text Simplification: In the Search of a Construct
por: Cardon, Rémi, et al.
Publicado: (2025)

Verifying the Robustness of Automatic Credibility Assessment
por: Przybyła, Piotr, et al.
Publicado: (2023)

Attacking Misinformation Detection Using Adversarial Examples Generated by Language Models
por: Przybyła, Piotr, et al.
Publicado: (2024)

Analysing Zero-Shot Readability-Controlled Sentence Simplification
por: Barayan, Abdullah, et al.
Publicado: (2024)

Hallucination Detection and Mitigation in Scientific Text Simplification using Ensemble Approaches: DS@GT at CLEF 2025 SimpleText
por: Marturi, Krishna Chaitanya, et al.
Publicado: (2025)

Making Knowledge Accessible: Divergent Readability-Accuracy Strategies of Mistral and QWen in Biomedical Text Simplification
por: Githinji, P. Bilha, et al.
Publicado: (2025)

Interpreting Arithmetic Mechanism in Large Language Models through Comparative Neuron Analysis
por: Yu, Zeping, et al.
Publicado: (2024)

Understanding Multimodal LLMs: the Mechanistic Interpretability of Llava in Visual Question Answering
por: Yu, Zeping, et al.
Publicado: (2024)

Understanding and Mitigating Gender Bias in LLMs via Interpretable Neuron Editing
por: Yu, Zeping, et al.
Publicado: (2025)

Locate-then-Merge: Neuron-Level Parameter Fusion for Mitigating Catastrophic Forgetting in Multimodal LLMs
por: Yu, Zeping, et al.
Publicado: (2025)

Progressive Document-level Text Simplification via Large Language Models
por: Fang, Dengzhao, et al.
Publicado: (2025)

Readability-guided Idiom-aware Sentence Simplification (RISS) for Chinese
por: Zhang, Jingshen, et al.
Publicado: (2024)

LLM-Guided Planning and Summary-Based Scientific Text Simplification: DS@GT at CLEF 2025 SimpleText
por: Marturi, Krishna Chaitanya, et al.
Publicado: (2025)

How do Large Language Models Learn In-Context? Query and Key Matrices of In-Context Heads are Two Towers for Metric Learning
por: Yu, Zeping, et al.
Publicado: (2024)

Neuron-Level Knowledge Attribution in Large Language Models
por: Yu, Zeping, et al.
Publicado: (2023)

Religious Bias Landscape in Language and Text-to-Image Models: Analysis, Detection, and Debiasing Strategies
por: Abrar, Ajwad, et al.
Publicado: (2025)

Exploring Zero-Shot ACSA with Unified Meaning Representation in Chain-of-Thought Prompting
por: Ventirozos, Filippos, et al.
Publicado: (2025)

Factual consistency evaluation of summarization in the Era of large language models
por: Luo, Zheheng, et al.
Publicado: (2024)

The Lay Person's Guide to Biomedicine: Orchestrating Large Language Models
por: Luo, Zheheng, et al.
Publicado: (2024)

Back Attention: Understanding and Enhancing Multi-Hop Reasoning in Large Language Models
por: Yu, Zeping, et al.
Publicado: (2025)

Disentangled VAD Representations via a Variational Framework for Political Stance Detection
por: Xu, Beiyu, et al.
Publicado: (2025)

Differential Robustness in Transformer Language Models: Empirical Evaluation Under Adversarial Text Attacks
por: Gidatkar, Taniya, et al.
Publicado: (2025)

THM@SimpleText 2025 -- Task 1.1: Revisiting Text Simplification based on Complex Terms for Non-Experts
por: Hofmann, Nico, et al.
Publicado: (2025)

LongDocFACTScore: Evaluating the Factuality of Long Document Abstractive Summarisation
por: Bishop, Jennifer A, et al.
Publicado: (2023)

Are You Sure You're Positive? Consolidating Chain-of-Thought Agents with Uncertainty Quantification for Aspect-Category Sentiment Analysis
por: Ventirozos, Filippos, et al.
Publicado: (2025)

Break the Checkbox: Challenging Closed-Style Evaluations of Cultural Alignment in LLMs
por: Kabir, Mohsinul, et al.
Publicado: (2025)

From n-gram to Attention: How Model Architectures Learn and Propagate Bias in Language Modeling
por: Kabir, Mohsinul, et al.
Publicado: (2025)

The SAMER Arabic Text Simplification Corpus
por: Alhafni, Bashar, et al.
Publicado: (2024)

Overview of the BioLaySumm 2024 Shared Task on the Lay Summarization of Biomedical Research Articles
por: Goldsack, Tomas, et al.
Publicado: (2024)

Beyond Repetition: Text Simplification and Curriculum Learning for Data-Constrained Pretraining
por: Roque, Matthew Theodore, et al.
Publicado: (2025)

Scaling, Simplification, and Adaptation: Lessons from Pretraining on Machine-Translated Text
por: Velasco, Dan John, et al.
Publicado: (2025)

Are Large Language Models True Healthcare Jacks-of-All-Trades? Benchmarking Across Health Professions Beyond Physician Exams
por: Luo, Zheheng, et al.
Publicado: (2024)

ConspEmoLLM-v2: A robust and stable model to detect sentiment-transformed conspiracy theories
por: Liu, Zhiwei, et al.
Publicado: (2025)

Rumor Detection by Multi-task Suffix Learning based on Time-series Dual Sentiments
por: Liu, Zhiwei, et al.
Publicado: (2025)