Automatic generation of ESL learning materials based on CEFR levels using reinforcement-tuned LLMs
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Open Access
- 24 December 2025
- journal article
- research article
- Published by Springer Nature in Discover Artificial Intelligence
- Vol. 6 (1)
Abstract
No abstract availableKeywords
This publication has 20 references indexed in Scilit:
- Beware of Words: Evaluating the Lexical Diversity of Conversational LLMs using ChatGPT as Case StudyACM Transactions on Intelligent Systems and Technology, 2025
- How artificially intelligent conversational agents influence EFL learners'self-regulated learning and retentionEducation and Information Technologies, 2025
- A Robust and Secure Framework for an AI-Assisted Academic Writing Platform2025
- LLM based Text Generation for Improved Low-resource Speech Recognition Models2025
- A Survey on LLM-Generated Text Detection: Necessity, Methods, and Future DirectionsComputational Linguistics, 2025
- When Automated Assessment Meets Automated Content Generation: Examining Text Quality in the Era of GPTsACM Transactions on Information Systems, 2025
- Comparative Analysis of A3C and PPO Algorithms in Reinforcement Learning: A Survey on General EnvironmentsIEEE Access, 2024
- Application of an Artificial Intelligence-based Adaptive Learning System to Chinese Language Education in Universities2024
- Towards Robustness of Large Language Models on Text-to-SQL Task: An Adversarial and Cross-Domain Investigation2023
- Aligning Language Frameworks: An Example with the CLB and CEFRLanguage Assessment Quarterly, 2023