Hong, Junyuan, Duan, Jinhao, Zhang, Chenhui, Li, Zhangheng, Xie, Chulin, Lieberman, Kelsey, Diffenderfer, James, Bartoldson, Brian, Jaiswal, Ajay, Xu, Kaidi, Kailkhura, Bhavya, Hendrycks, Dan, Song, Dawn, Wang, Zhangyang, and Li, Bo. Decoding Compressed Trust: Scrutinizing the Trustworthiness of Efficient LLMs Under Compression. Retrieved from https://par.nsf.gov/biblio/10520429.

Hong, Junyuan, Duan, Jinhao, Zhang, Chenhui, Li, Zhangheng, Xie, Chulin, Lieberman, Kelsey, Diffenderfer, James, Bartoldson, Brian, Jaiswal, Ajay, Xu, Kaidi, Kailkhura, Bhavya, Hendrycks, Dan, Song, Dawn, Wang, Zhangyang, & Li, Bo. Decoding Compressed Trust: Scrutinizing the Trustworthiness of Efficient LLMs Under Compression. Retrieved from https://par.nsf.gov/biblio/10520429.

Hong, Junyuan, Duan, Jinhao, Zhang, Chenhui, Li, Zhangheng, Xie, Chulin, Lieberman, Kelsey, Diffenderfer, James, Bartoldson, Brian, Jaiswal, Ajay, Xu, Kaidi, Kailkhura, Bhavya, Hendrycks, Dan, Song, Dawn, Wang, Zhangyang, and Li, Bo. "Decoding Compressed Trust: Scrutinizing the Trustworthiness of Efficient LLMs Under Compression". Country unknown/Code not available: International Conference on Machine Learning (ICML). https://par.nsf.gov/biblio/10520429.

@article{osti_10520429,
place = {Country unknown/Code not available}, title = {Decoding Compressed Trust: Scrutinizing the Trustworthiness of Efficient LLMs Under Compression}, url = {https://par.nsf.gov/biblio/10520429}, abstractNote = {}, journal = {}, publisher = {International Conference on Machine Learning (ICML)}, author = {Hong, Junyuan and Duan, Jinhao and Zhang, Chenhui and Li, Zhangheng and Xie, Chulin and Lieberman, Kelsey and Diffenderfer, James and Bartoldson, Brian and Jaiswal, Ajay and Xu, Kaidi and Kailkhura, Bhavya and Hendrycks, Dan and Song, Dawn and Wang, Zhangyang and Li, Bo}, }