X-ray Made Simple: Lay Radiology Report Generation and Robust Evaluation
Published in Findings of the Association for Computational Linguistics: ACL 2026, 2026
This work introduces refined lay radiology datasets, semantics-based evaluation, and lay-guided training. Access the paper.
Recommended citation: Kun Zhao, Chenghao Xiao, Sixing Yan, Haoteng Tang, William K. Cheung, Noura Al Moubayed, Liang Zhan, Chenghua Lin, "X-ray Made Simple: Lay Radiology Report Generation and Robust Evaluation." Findings of the Association for Computational Linguistics: ACL 2026, 2026.
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