Papers by Khaled Saleh
MedErrBench: A Fine-Grained Multilingual Benchmark for Medical Error Detection and Correction with Clinical Expert Annotations (2026.findings-acl)
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Congbo Ma, Yichun Zhang, Yousef Al-Jazzazi, Ahamed Foisal, Laasya Sharma, Yousra Sadqi, Khaled Saleh, Jihad Mallat, Farah E. Shamout
| Challenge: | Existing or generated clinical text may contain inaccuracies that can lead to serious adverse outcomes. |
| Approach: | They introduce a multilingual benchmark for error detection, localization and correction . they assessed the performance of a range of general-purpose, language-specific, and medical-domain language models . |
| Outcome: | The proposed benchmark covers English, Arabic and Chinese, with natural medical cases annotated and reviewed by domain experts. |