MedReaMM: Evaluating Large Multimodal Models on Expert-Level Clinical Diagnostic Synthesis

@article{lai2026,
  title = {MedReaMM: Evaluating Large Multimodal Models on Expert-Level Clinical Diagnostic Synthesis},
  author = {Wei, Lai and Chen, Yuchao and Cao, Zhenbiao and Zhang, Xiaojin and Wei, Zhongyu and Wang, Bangting and Chen, Wei and Bai, Xiang},
  journal = {Findings of the Association for Computational Linguistics: EMNLP 2026},
  year = {2026},
  month = {Jan},
}

Wei, Lai et al. (2026). MedReaMM: Evaluating Large Multimodal Models on Expert-Level Clinical Diagnostic Synthesis. Findings of the Association for Computational Linguistics: EMNLP 2026.

Wei, Lai, et al.. "MedReaMM: Evaluating Large Multimodal Models on Expert-Level Clinical Diagnostic Synthesis." Findings of the Association for Computational Linguistics: EMNLP 2026, 2026.

Wei, Lai, et al.. "MedReaMM: Evaluating Large Multimodal Models on Expert-Level Clinical Diagnostic Synthesis." Findings of the Association for Computational Linguistics: EMNLP 2026 (2026).

Wei, Lai et al., 2026. MedReaMM: Evaluating Large Multimodal Models on Expert-Level Clinical Diagnostic Synthesis. Findings of the Association for Computational Linguistics: EMNLP 2026.

TY  - JOUR
TI  - MedReaMM: Evaluating Large Multimodal Models on Expert-Level Clinical Diagnostic Synthesis
AU  - Wei, Lai
AU  - Chen, Yuchao
AU  - Cao, Zhenbiao
AU  - Zhang, Xiaojin
AU  - Wei, Zhongyu
AU  - Wang, Bangting
AU  - Chen, Wei
AU  - Bai, Xiang
PY  - 2026
JO  - Findings of the Association for Computational Linguistics: EMNLP 2026
ER  -