Assessing Student Explanations with Large Language Models Using Fine-Tuning and Few-Shot Learning

Assessing Student Explanations with Large Language Models Using Fine-Tuning and Few-Shot Learning Dan Carpenter author Wookhee Min author Seung Lee author Gamze Ozogul author Xiaoying Zheng author James Lester author 2024-06 text Proceedings of the 19th Workshop on Innovative Use of NLP for Building Educational Applications (BEA 2024) Ekaterina Kochmar editor Marie Bexte editor Jill Burstein editor Andrea Horbach editor Ronja Laarmann-Quante editor Anaïs Tack editor Victoria Yaneva editor Zheng Yuan editor Association for Computational Linguistics Mexico City, Mexico conference publication carpenter-etal-2024-assessing https://aclanthology.org/2024.bea-1.33/ 2024-06 403 413