Copertina

First, do NOHARM: towards clinically safe large language models

Fuente: arXiv

Salvato in:

Dettagli Bibliografici
Autori principali:	Wu, David, Haredasht, Fateme Nateghi, Maharaj, Saloni Kumar, Jain, Priyank, Tran, Jessica, Gwiazdon, Matthew, Rustagi, Arjun, Jindal, Jenelle, Koshy, Jacob M., Kadiyala, Vinay, Agarwal, Anup, Tappuni, Bassman, French, Brianna, Jesudasen, Sirus, Cosgriff, Christopher V., Chakraborty, Rebanta, Caldwell, Jillian, Ziolkowski, Susan, Iberri, David J., Diep, Robert, Dalal, Rahul S., Newman, Kira L., Galetta, Kristin, Pallais, J. Carl, Wei, Nancy, Buchheit, Kathleen M., Hong, David I., Lee, Ernest Y., Shih, Allen, Pahalyants, Vartan, Kaplan, Tamara B., Ravi, Vishnu, Khemani, Sarita, Liang, April S., Shirvani, Daniel, Patil, Advait, Marshall, Nicholas, Chopra, Kanav, Koh, Joel, Badhwar, Adi, McCoy, Liam G., Wu, David J. H., Weng, Yingjie, Ranji, Sumant, Schulman, Kevin, Shah, Nigam H., Hom, Jason, Milstein, Arnold, Rodman, Adam, Chen, Jonathan H., Goh, Ethan
Natura:	Preprint
Pubblicazione:	2025
Soggetti:	Computers and Society Artificial Intelligence
Accesso online:	Acceder al recurso
Tags:	Aggiungi Tag Nessun Tag, puoi essere il primo ad aggiungerne!!

Accesso online

https://arxiv.org/abs/2512.01241