most citedA fine-grained attention and geometric correspondence model for musculoskeletal risk classification in athletes using multimodal visual and skeletal features

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cs.CL2026★ 1 cited

Mitigating hallucinations in healthcare LLMs with granular fact-checking and domain-specific adaptation

Musarrat Zeba, Abdullah Al Mamun, Kishoar Jahan Tithee +8

In healthcare, it is essential for any Large Language Model (LLM)-generated output to be reliable and accurate, particularly in cases involving decision-making and patient safety.…