How useful are educational questions generated by large language models?
Controllable text generation (CTG) by large language models has a huge potential to
transform education for teachers and students alike. Specifically, high quality and diverse …
transform education for teachers and students alike. Specifically, high quality and diverse …
Eliciting human preferences with language models
Language models (LMs) can be directed to perform target tasks by using labeled examples
or natural language prompts. But selecting examples or writing prompts for can be …
or natural language prompts. But selecting examples or writing prompts for can be …
Synergizing machine learning & symbolic methods: A survey on hybrid approaches to natural language processing
R Panchendrarajan, A Zubiaga - Expert Systems with Applications, 2024 - Elsevier
The advancement of machine learning and symbolic approaches have underscored their
strengths and weaknesses in Natural Language Processing (NLP). While machine learning …
strengths and weaknesses in Natural Language Processing (NLP). While machine learning …
Exploring quality criteria and evaluation methods in automated question generation: A comprehensive survey
In light of the widespread adoption of technology-enhanced learning and assessment
platforms, there is a growing demand for innovative, high-quality, and diverse assessment …
platforms, there is a growing demand for innovative, high-quality, and diverse assessment …
Automatic generation and evaluation of reading comprehension test items with large language models
A Säuberli, S Clematide - arXiv preprint arXiv:2404.07720, 2024 - arxiv.org
Reading comprehension tests are used in a variety of applications, reaching from education
to assessing the comprehensibility of simplified texts. However, creating such tests manually …
to assessing the comprehensibility of simplified texts. However, creating such tests manually …
How Teachers Can Use Large Language Models and Bloom's Taxonomy to Create Educational Quizzes
Question generation (QG) is a natural language processing task with an abundance of
potential benefits and use cases in the educational domain. In order for this potential to be …
potential benefits and use cases in the educational domain. In order for this potential to be …
Exploring the Capabilities of Prompted Large Language Models in Educational and Assessment Applications
In the era of generative artificial intelligence (AI), the fusion of large language models (LLMs)
offers unprecedented opportunities for innovation in the field of modern education. We …
offers unprecedented opportunities for innovation in the field of modern education. We …
Opinerium: Subjective Question Generation using Large Language Models
P Babakhani, A Lommatzsch, T Brodt, D Sacker… - IEEE …, 2024 - ieeexplore.ieee.org
This paper presents a comprehensive study on generating subjective inquiries for news
media posts to empower public engagement with trending media topics. While previous …
media posts to empower public engagement with trending media topics. While previous …
Text Generation: A Systematic Literature Review of Tasks, Evaluation, and Challenges
Text generation has become more accessible than ever, and the increasing interest in these
systems, especially those using large language models, has spurred an increasing number …
systems, especially those using large language models, has spurred an increasing number …
MP2D: An Automated Topic Shift Dialogue Generation Framework Leveraging Knowledge Graphs
Y Hwang, Y Kim, Y Jang, J Bang, H Bae… - arXiv preprint arXiv …, 2024 - arxiv.org
Despite advancements in on-topic dialogue systems, effectively managing topic shifts within
dialogues remains a persistent challenge, largely attributed to the limited availability of …
dialogues remains a persistent challenge, largely attributed to the limited availability of …