Cover Image

Generating Reading Comprehension Exercises with Large Language Models for Educational Applications

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Huang, Xingyu, Jiang, Fei, Xiao, Jianli
Format:	Preprint
Published:	2025
Subjects:	Computation and Language Artificial Intelligence
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Beyond Facts: Benchmarking Distributional Reading Comprehension in Large Language Models
by: Guo, Pei-Fu, et al.
Published: (2026)

IPED: An Implicit Perspective for Relational Triple Extraction based on Diffusion Model
by: Zhao, Jianli, et al.
Published: (2024)

Cross-Model Consistency of AI-Generated Exercise Prescriptions: A Repeated Generation Study Across Three Large Language Models
by: Lee, Kihyuk
Published: (2026)

Applications of the Transformer Architecture in AI-Assisted English Reading Comprehension
by: Li, Ping
Published: (2026)

A Comprehensive Survey of Accelerated Generation Techniques in Large Language Models
by: Khoshnoodi, Mahsa, et al.
Published: (2024)

The Impact of Steering Large Language Models with Persona Vectors in Educational Applications
by: Wu, Yongchao, et al.
Published: (2026)

Applications of Large Language Model Reasoning in Feature Generation
by: Chandra, Dharani
Published: (2025)

A Comprehensive Evaluation of Quantization Strategies for Large Language Models
by: Jin, Renren, et al.
Published: (2024)

Structure Guided Large Language Model for SQL Generation
by: Zhang, Qinggang, et al.
Published: (2024)

Large Language Models in the Clinic: A Comprehensive Benchmark
by: Liu, Fenglin, et al.
Published: (2024)

Question Generation for Assessing Early Literacy Reading Comprehension
by: Yang, Xiaocheng, et al.
Published: (2025)

Building Guardrails for Large Language Models
by: Dong, Yi, et al.
Published: (2024)

Evaluating the Application of Large Language Models to Generate Feedback in Programming Education
by: Jacobs, Sven, et al.
Published: (2024)

TransformLLM: Adapting Large Language Models via LLM-Transformed Reading Comprehension Text
by: Arbel, Iftach, et al.
Published: (2024)

A Survey of Large Language Models on Generative Graph Analytics: Query, Learning, and Applications
by: Shang, Wenbo, et al.
Published: (2024)

Genshin: General Shield for Natural Language Processing with Large Language Models
by: Peng, Xiao, et al.
Published: (2024)

Cooper: Co-Optimizing Policy and Reward Models in Reinforcement Learning for Large Language Models
by: Hong, Haitao, et al.
Published: (2025)

Large Language Models and Cognitive Science: A Comprehensive Review of Similarities, Differences, and Challenges
by: Niu, Qian, et al.
Published: (2024)

HeQ: a Large and Diverse Hebrew Reading Comprehension Benchmark
by: Cohen, Amir DN, et al.
Published: (2025)

Automatic Generation of Inference Making Questions for Reading Comprehension Assessments
by: Ma, Wanjing Anya, et al.
Published: (2025)

UGPhysics: A Comprehensive Benchmark for Undergraduate Physics Reasoning with Large Language Models
by: Xu, Xin, et al.
Published: (2025)

QUILL: Quotation Generation Enhancement of Large Language Models
by: Xiao, Jin, et al.
Published: (2024)

Datasets for Large Language Models: A Comprehensive Survey
by: Liu, Yang, et al.
Published: (2024)

EasyDistill: A Comprehensive Toolkit for Effective Knowledge Distillation of Large Language Models
by: Wang, Chengyu, et al.
Published: (2025)

A Comprehensive Evaluation of Large Language Models on Benchmark Biomedical Text Processing Tasks
by: Jahan, Israt, et al.
Published: (2023)

A Survey on Large Language Models from General Purpose to Medical Applications: Datasets, Methodologies, and Evaluations
by: Wang, Jinqiang, et al.
Published: (2024)

On the Military Applications of Large Language Models
by: Johansson, Satu, et al.
Published: (2025)

A Comprehensive Study on Quantization Techniques for Large Language Models
by: Lang, Jiedong, et al.
Published: (2024)

SED: Self-Evaluation Decoding Enhances Large Language Models for Better Generation
by: Luo, Ziqin, et al.
Published: (2024)

CritiqueLLM: Towards an Informative Critique Generation Model for Evaluation of Large Language Model Generation
by: Ke, Pei, et al.
Published: (2023)

Implicit Reasoning in Large Language Models: A Comprehensive Survey
by: Li, Jindong, et al.
Published: (2025)

Large Language Models for Planning: A Comprehensive and Systematic Survey
by: Cao, Pengfei, et al.
Published: (2025)

Towards Explainable Temporal Reasoning in Large Language Models: A Structure-Aware Generative Framework
by: Jiang, Zihao, et al.
Published: (2025)

A Comprehensive Evaluation on Event Reasoning of Large Language Models
by: Tao, Zhengwei, et al.
Published: (2024)

ArabicNumBench: Evaluating Arabic Number Reading in Large Language Models
by: Alhumud, Anas, et al.
Published: (2026)

Me LLaMA: Foundation Large Language Models for Medical Applications
by: Xie, Qianqian, et al.
Published: (2024)

Multiple-Choice Question Generation Using Large Language Models: Methodology and Educator Insights
by: Biancini, Giorgio, et al.
Published: (2025)

DA-Code: Agent Data Science Code Generation Benchmark for Large Language Models
by: Huang, Yiming, et al.
Published: (2024)

Raising the Bar: Investigating the Values of Large Language Models via Generative Evolving Testing
by: Jiang, Han, et al.
Published: (2024)

Multilingual Multi-Aspect Explainability Analyses on Machine Reading Comprehension Models
by: Cui, Yiming, et al.
Published: (2021)