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TrustMH-Bench: A Comprehensive Benchmark for Evaluating the Trustworthiness of Large Language Models in Mental Health

Fuente: arXiv

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Dettagli Bibliografici
Autori principali:	Xiong, Zixin, Wang, Ziteng, Fan, Haotian, Zhang, Xinjie, Wang, Wenxuan
Natura:	Preprint
Pubblicazione:	2026
Soggetti:	Computation and Language Artificial Intelligence
Accesso online:	Acceder al recurso
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