Zobrazeno 1 - 10
of 2 618
pro vyhledávání: '"Flores Juan"'
Autor:
Bethany, Emet, Bethany, Mazal, Flores, Juan Arturo Nolazco, Jha, Sumit Kumar, Najafirad, Peyman
Recent advancements in AI safety have led to increased efforts in training and red-teaming large language models (LLMs) to mitigate unsafe content generation. However, these safety mechanisms may not be comprehensive, leaving potential vulnerabilitie
Externí odkaz:
http://arxiv.org/abs/2409.11445
Autor:
Eiras, Francisco, Petrov, Aleksandar, Vidgen, Bertie, de Witt, Christian Schroeder, Pizzati, Fabio, Elkins, Katherine, Mukhopadhyay, Supratik, Bibi, Adel, Csaba, Botos, Steibel, Fabro, Barez, Fazl, Smith, Genevieve, Guadagni, Gianluca, Chun, Jon, Cabot, Jordi, Imperial, Joseph Marvin, Nolazco-Flores, Juan A., Landay, Lori, Jackson, Matthew, Röttger, Paul, Torr, Philip H. S., Darrell, Trevor, Lee, Yong Suk, Foerster, Jakob
In the next few years, applications of Generative AI are expected to revolutionize a number of different areas, ranging from science & medicine to education. The potential for these seismic changes has triggered a lively debate about potential risks
Externí odkaz:
http://arxiv.org/abs/2404.17047
Autor:
Khiu, Eric, Toossi, Hasti, Anugraha, David, Liu, Jinyu, Li, Jiaxu, Flores, Juan Armando Parra, Roman, Leandro Acros, Doğruöz, A. Seza, Lee, En-Shiun Annie
Fine-tuning and testing a multilingual large language model is expensive and challenging for low-resource languages (LRLs). While previous studies have predicted the performance of natural language processing (NLP) tasks using machine learning method
Externí odkaz:
http://arxiv.org/abs/2402.02633