CheXPoT: Post-Hoc Visual Verification and Correction of VLM-Generated Radiology Reports
arXiv:2611.00785v1 Announce Type: new Abstract: Vision-language models (VLMs) have shown promise for chest radiograph report generation, but adoption remains limited because of hallucinated findings that are not grounded in the image. Correcting these hallucinations and improving overall report qual
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Quelle: arXiv cs.CL (arXiv cs.CL). Original öffnen