Imagen de Portada

Beyond Flesch-Kincaid: Prompt-based Metrics Improve Difficulty Classification of Educational Texts

Fuente: arXiv

Guardado en:

Detalles Bibliográficos
Autores principales:	Rooein, Donya, Rottger, Paul, Shaitarova, Anastassia, Hovy, Dirk
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

Conversations as a Source for Teaching Scientific Concepts at Different Education Levels
por: Rooein, Donya, et al.
Publicado: (2024)

Biased Tales: Cultural and Topic Bias in Generating Children's Stories
por: Rooein, Donya, et al.
Publicado: (2025)

Exploring Subjective Tasks in Farsi: A Survey Analysis and Evaluation of Language Models
por: Rooein, Donya, et al.
Publicado: (2025)

SafetyPrompts: a Systematic Review of Open Datasets for Evaluating and Improving Large Language Model Safety
por: Röttger, Paul, et al.
Publicado: (2024)

Compromesso! Italian Many-Shot Jailbreaks Undermine the Safety of Large Language Models
por: Pernisi, Fabio, et al.
Publicado: (2024)

Beyond Demographics: Fine-tuning Large Language Models to Predict Individuals' Subjective Text Perceptions
por: Orlikowski, Matthias, et al.
Publicado: (2025)

Principled Personas: Defining and Measuring the Intended Effects of Persona Prompting on Task Performance
por: de Araujo, Pedro Henrique Luz, et al.
Publicado: (2025)

The Ecological Fallacy in Annotation: Modelling Human Label Variation goes beyond Sociodemographics
por: Orlikowski, Matthias, et al.
Publicado: (2023)

PATS: Personality-Aware Teaching Strategies with Large Language Model Tutors
por: Rooein, Donya, et al.
Publicado: (2026)

Co-DETECT: Collaborative Discovery of Edge Cases in Text Classification
por: Xiong, Chenfei, et al.
Publicado: (2025)

The Pluralistic Moral Gap: Understanding Judgment and Value Differences between Humans and Large Language Models
por: Russo, Giuseppe, et al.
Publicado: (2025)

IssueBench: Millions of Realistic Prompts for Measuring Issue Bias in LLM Writing Assistance
por: Röttger, Paul, et al.
Publicado: (2025)

MSTS: A Multimodal Safety Test Suite for Vision-Language Models
por: Röttger, Paul, et al.
Publicado: (2025)

Can Reasoning Help Large Language Models Capture Human Annotator Disagreement?
por: Ni, Jingwei, et al.
Publicado: (2025)

No for Some, Yes for Others: Persona Prompts and Other Sources of False Refusal in Language Models
por: Plaza-del-Arco, Flor Miriam, et al.
Publicado: (2025)

Multilingual Performance Biases of Large Language Models in Education
por: Gupta, Vansh, et al.
Publicado: (2025)

Do Prompts Reshape Representations? An Empirical Study of Prompting Effects on Embeddings
por: Gonzalez-Gutierrez, Cesar, et al.
Publicado: (2025)

"My Answer is C": First-Token Probabilities Do Not Match Text Answers in Instruction-Tuned Language Models
por: Wang, Xinpeng, et al.
Publicado: (2024)

Diffusion Language Models Are Natively Length-Aware
por: Rossi, Vittorio, et al.
Publicado: (2026)

SimBench: Benchmarking the Ability of Large Language Models to Simulate Human Behaviors
por: Hu, Tiancheng, et al.
Publicado: (2025)

XSTest: A Test Suite for Identifying Exaggerated Safety Behaviours in Large Language Models
por: Röttger, Paul, et al.
Publicado: (2023)

Educators' Perceptions of Large Language Models as Tutors: Comparing Human and AI Tutors in a Blind Text-only Setting
por: Chowdhury, Sankalan Pal, et al.
Publicado: (2025)

Large Language Model Hacking: Quantifying the Hidden Risks of Using LLMs for Text Annotation
por: Baumann, Joachim, et al.
Publicado: (2025)

Political Compass or Spinning Arrow? Towards More Meaningful Evaluations for Values and Opinions in Large Language Models
por: Röttger, Paul, et al.
Publicado: (2024)

DADIT: A Dataset for Demographic Classification of Italian Twitter Users and a Comparison of Prediction Methods
por: Lupo, Lorenzo, et al.
Publicado: (2024)

Narratives at Conflict: Computational Analysis of News Framing in Multilingual Disinformation Campaigns
por: Sinelnik, Antonina, et al.
Publicado: (2024)

SpiritRAG: A Q&A System for Religion and Spirituality in the United Nations Archive
por: Gao, Yingqiang, et al.
Publicado: (2025)

Can LLMs Model Incorrect Student Reasoning? A Case Study on Distractor Generation
por: Zengaffinen, Yanick, et al.
Publicado: (2026)

Improving Adversarial Data Collection by Supporting Annotators: Lessons from GAHD, a German Hate Speech Dataset
por: Goldzycher, Janis, et al.
Publicado: (2024)

Teacher Demonstrations in a BabyLM's Zone of Proximal Development for Contingent Multi-Turn Interaction
por: Salhan, Suchir, et al.
Publicado: (2025)

Information-Theoretic Complementary Prompts for Improved Continual Text Classification
por: Zhang, Duzhen, et al.
Publicado: (2025)

The AI Gap: How Socioeconomic Status Affects Language Technology Interactions
por: Bassignana, Elisa, et al.
Publicado: (2025)

Navigating the Prompt Space: Improving LLM Classification of Social Science Texts Through Prompt Engineering
por: Gunes, Erkan, et al.
Publicado: (2026)

Towards Human-Level Text Coding with LLMs: The Case of Fatherhood Roles in Public Policy Documents
por: Lupo, Lorenzo, et al.
Publicado: (2023)

The Call for Socially Aware Language Technologies
por: Yang, Diyi, et al.
Publicado: (2024)

Twists, Humps, and Pebbles: Multilingual Speech Recognition Models Exhibit Gender Performance Gaps
por: Attanasio, Giuseppe, et al.
Publicado: (2024)

Impoverished Language Technology: The Lack of (Social) Class in NLP
por: Curry, Amanda Cercas, et al.
Publicado: (2024)

Around the World in 24 Hours: Probing LLM Knowledge of Time and Place
por: Holtermann, Carolin, et al.
Publicado: (2025)

Classist Tools: Social Class Correlates with Performance in NLP
por: Curry, Amanda Cercas, et al.
Publicado: (2024)

Wisdom of Instruction-Tuned Language Model Crowds. Exploring Model Label Variation
por: Plaza-del-Arco, Flor Miriam, et al.
Publicado: (2023)