Benchmarking Multimodal Large Language Models for Forensic Sciences: A Comprehensive Dataset and Evaluation Framework
Multimodal large language models (MLLMs) have demonstrated substantial progress in medical and legal domains in recent years; however, their capabilities from the lens of forensic science, a field at the intersection of complex medical reasoning and legal interpretation, remains largely unexplored....
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| Principais autores: | , , , , |
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| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado em: |
IEEE
2026-01-01
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| coleção: | IEEE Access |
| Assuntos: | |
| Acesso em linha: | https://ieeexplore.ieee.org/document/11483046/ |
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