Zobrazeno 1 - 10
of 3 819
pro vyhledávání: '"A. Santacroce"'
Autor:
Abdin, Marah, Aneja, Jyoti, Awadalla, Hany, Awadallah, Ahmed, Awan, Ammar Ahmad, Bach, Nguyen, Bahree, Amit, Bakhtiari, Arash, Bao, Jianmin, Behl, Harkirat, Benhaim, Alon, Bilenko, Misha, Bjorck, Johan, Bubeck, Sébastien, Cai, Martin, Cai, Qin, Chaudhary, Vishrav, Chen, Dong, Chen, Dongdong, Chen, Weizhu, Chen, Yen-Chun, Chen, Yi-Ling, Cheng, Hao, Chopra, Parul, Dai, Xiyang, Dixon, Matthew, Eldan, Ronen, Fragoso, Victor, Gao, Jianfeng, Gao, Mei, Gao, Min, Garg, Amit, Del Giorno, Allie, Goswami, Abhishek, Gunasekar, Suriya, Haider, Emman, Hao, Junheng, Hewett, Russell J., Hu, Wenxiang, Huynh, Jamie, Iter, Dan, Jacobs, Sam Ade, Javaheripi, Mojan, Jin, Xin, Karampatziakis, Nikos, Kauffmann, Piero, Khademi, Mahoud, Kim, Dongwoo, Kim, Young Jin, Kurilenko, Lev, Lee, James R., Lee, Yin Tat, Li, Yuanzhi, Li, Yunsheng, Liang, Chen, Liden, Lars, Lin, Xihui, Lin, Zeqi, Liu, Ce, Liu, Liyuan, Liu, Mengchen, Liu, Weishung, Liu, Xiaodong, Luo, Chong, Madan, Piyush, Mahmoudzadeh, Ali, Majercak, David, Mazzola, Matt, Mendes, Caio César Teodoro, Mitra, Arindam, Modi, Hardik, Nguyen, Anh, Norick, Brandon, Patra, Barun, Perez-Becker, Daniel, Portet, Thomas, Pryzant, Reid, Qin, Heyang, Radmilac, Marko, Ren, Liliang, de Rosa, Gustavo, Rosset, Corby, Roy, Sambudha, Ruwase, Olatunji, Saarikivi, Olli, Saied, Amin, Salim, Adil, Santacroce, Michael, Shah, Shital, Shang, Ning, Sharma, Hiteshi, Shen, Yelong, Shukla, Swadheen, Song, Xia, Tanaka, Masahiro, Tupini, Andrea, Vaddamanu, Praneetha, Wang, Chunyu, Wang, Guanhua, Wang, Lijuan, Wang, Shuohang, Wang, Xin, Wang, Yu, Ward, Rachel, Wen, Wen, Witte, Philipp, Wu, Haiping, Wu, Xiaoxia, Wyatt, Michael, Xiao, Bin, Xu, Can, Xu, Jiahang, Xu, Weijian, Xue, Jilong, Yadav, Sonali, Yang, Fan, Yang, Jianwei, Yang, Yifan, Yang, Ziyi, Yu, Donghan, Yuan, Lu, Zhang, Chenruidong, Zhang, Cyril, Zhang, Jianwen, Zhang, Li Lyna, Zhang, Yi, Zhang, Yue, Zhang, Yunan, Zhou, Xiren
We introduce phi-3-mini, a 3.8 billion parameter language model trained on 3.3 trillion tokens, whose overall performance, as measured by both academic benchmarks and internal testing, rivals that of models such as Mixtral 8x7B and GPT-3.5 (e.g., phi
Externí odkaz:
http://arxiv.org/abs/2404.14219
Autor:
Rosset, Corby, Cheng, Ching-An, Mitra, Arindam, Santacroce, Michael, Awadallah, Ahmed, Xie, Tengyang
This paper studies post-training large language models (LLMs) using preference feedback from a powerful oracle to help a model iteratively improve over itself. The typical approach for post-training LLMs involves Reinforcement Learning from Human Fee
Externí odkaz:
http://arxiv.org/abs/2404.03715
Recent advances in large language models (LLMs) have demonstrated potential for LLM agents. To facilitate the training for these agents with both linguistic feedback and non-linguistic reward signals, we introduce Learning through Communication (LTC)
Externí odkaz:
http://arxiv.org/abs/2310.01444
Reinforcement Learning with Human Feedback (RLHF) has revolutionized language modeling by aligning models with human preferences. However, the RL stage, Proximal Policy Optimization (PPO), requires over 3x the memory of Supervised Fine-Tuning (SFT),
Externí odkaz:
http://arxiv.org/abs/2309.00754
Publikováno v:
Gastroenterology Insights, Vol 15, Iss 3, Pp 676-707 (2024)
According to the World Health Organization (WHO), the incidence of HCV remains high (around 1.5 million new patients every year), and 80% of patients with acute infection will progress to chronic hepatitis and develop cirrhosis and even liver cancer.
Externí odkaz:
https://doaj.org/article/667a0f65e1b047bda79b5108010b5085
Autor:
Mia T. Chandler, Tianrun Cai, Leah Santacroce, Sciaska Ulysse, Katherine P. Liao, Candace H. Feldman
Publikováno v:
ACR Open Rheumatology, Vol 6, Iss 8, Pp 481-488 (2024)
Objective We aimed to examine the feasibility of applying natural language processing (NLP) to unstructured electronic health record (EHR) documents to detect the presence of financial insecurity among patients with rheumatologic disease enrolled in
Externí odkaz:
https://doaj.org/article/115811ff820146e5be4495e67099e11f
Autor:
Luigi Santacroce, Ioannis Alexandros Charitos, Marica Colella, Raffaele Palmirotta, Emilio Jirillo
Publikováno v:
Hematology Reports, Vol 16, Iss 3, Pp 440-453 (2024)
In healthy conditions, blood was considered a sterile environment until the development of new analytical approaches that allowed for the detection of circulating bacterial ribosomal DNA. Currently, debate exists on the origin of the blood microbiota
Externí odkaz:
https://doaj.org/article/6750dfba23fa4946953ef077b90d9660
Autor:
Katherine P. Liao, Pamela Rist, Jon Giles, Leah Santacroce, Margery A. Connelly, Robert J. Glynn, Paul Ridker, Ahmed Tawakol, Joan Bathon, Daniel H. Solomon
Publikováno v:
Arthritis Research & Therapy, Vol 26, Iss 1, Pp 1-9 (2024)
Abstract Background Treatments for rheumatoid arthritis (RA) are associated with complex changes in lipids and lipoproteins that may impact cardiovascular (CV) risk. The objective of this study was to examine lipid and lipoprotein changes associated
Externí odkaz:
https://doaj.org/article/1c5c699bc81445dabdab7e0cb72982ed
We consider the classical problem of maximizing the expected utility of terminal net wealth with a final random liability in a simple jump-diffusion model. In the spirit of Horst et al. (2014) and Santacroce-Trivellato (2014), under suitable conditio
Externí odkaz:
http://arxiv.org/abs/2302.08253
Auto-regressive large language models such as GPT-3 require enormous computational resources to use. Traditionally, structured pruning methods are employed to reduce resource usage. However, their application to and efficacy for generative language m
Externí odkaz:
http://arxiv.org/abs/2302.03773