A major challenge facing the world is the provision of equitable and universal access to
quality education. Recent advances in generative AI (gen AI) have created excitement about …

We study continued training and supervised fine-tuning (SFT) of a language model (LM) to
make effective use of long-context information. We first establish a reliable evaluation …

Thousands of new scientific papers are published each month. Such information overload
complicates researcher efforts to stay current with the state-of-the-art as well as to verify and …

In line with the positive effects of personalized learning, personalized assessments are
expected to maximize learner motivation and engagement, allowing learners to show what …

Large Language Models (LLMs) have made great strides in recent years to achieve
unprecedented performance across different tasks. However, due to commercial interest, the …

Large language models (LLMs) present an opportunity to scale high-quality personalized
education to all. A promising approach towards this means is to build dialog tutoring models …

Virtual reality (VR) has emerged as a transformative educational tool, enabling immersive
learning environments that promote student engagement and understanding of complex …

Providing feedback is widely recognized as crucial for refining students' writing skills. Recent
advances in language models (LMs) have made it possible to automatically generate …

This paper investigates the suitability of frontier Large Language Models (LLMs) for Q&A
interactions in science centres, with the aim of boosting visitor engagement while …

Abstract Using Large Language Models (LLMs) for education triggers numerous challenges.
In particular, LLMs are often fine-tuned and instructed for Question Answering tasks …