ACL

Enhancing Marker Scoring Accuracy through Ordinal Confidence Modelling in Educational Assessments

通过顺序置信建模提升教育评估中标记评分的准确性

Abhirup Chakravarty, Mark Brenchley, Trevor Breakspear, Ian Lewin, Yan Huang

机构 * Applied AI Cambridge University Press & Assessment（应用人工智能剑桥大学出版社与评估） 纠错

AI总结 本研究通过引入核加权有序分类交叉熵损失函数，提升教育评估中自动评分的置信度建模，实现更高的CEFR一致性评分。

Comments This is the preprint version of our paper accepted to ACL 2025 (Industry Track). The DOI will be added once available

Journal ref Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 6: Industry Track), 2025

MedBioRAG: Semantic Search and Retrieval-Augmented Generation with Large Language Models for Medical and Biological QA

MedBioRAG: 基于大语言模型的语义搜索与检索增强生成用于医学和生物学问答

Seonok Kim

机构 * Seonok Kim（独立研究者） 纠错

AI总结 MedBioRAG通过结合语义搜索、文档检索和监督微调，提升医学和生物学问答任务的性能。

Comments Submitted to ACL 2025. 9 pages, 4 figures, 5 tables (including 2 appendix tables)