Cost-efficient generative AI summarization for scalable automated essay scoring in educational assessment
arXiv:2607.15829v1 Announce Type: new Abstract: Automated essay scoring (AES) enables scalable assessment and timely feedback but remains challenged by transformer input-length limitations, which can cause information loss when processing long essays. This study proposes a generative AI-assisted summarization framework to improve long-form essay representation while maintaining scoring reliability. Using the ASAP 2.0 dataset, we generate controlled-length summaries with three GPT-5 variants (GPT...
arXiv cs.CL
·Haowei Hua
·
// relacionados
Leia também
Blog
Hugging Face says an AI agent hacked its infrastructure, and it used AI to fight back
Editorial
Cura 1T: um modelo que aprende medicina treinando a si mesmo, sob supervisão humana
Blog
Beyond grep: The case for a context-rich AI coding harness
Blog