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Marking the Wrong Symptoms: Evaluating LLM Watermarks in Medical Texts

Via ArXiv cs.AI
Friday, Jul 24, 2026 ยท 4:00AM
Summary

arXiv:2607.20462v1 Announce Type: new Abstract: Large language models (LLMs) are increasingly integrated into clinical workflows, stressing the need for reliable traceability of model-generated output with watermarking. Yet, most watermarks are evaluated on general-purpose benchmarks, leaving domain

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Read at ArXiv cs.AI
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