Zobrazeno 1 - 10
of 2 444
pro vyhledávání: '"Kotek A"'
Autor:
Orgad, Hadas, Toker, Michael, Gekhman, Zorik, Reichart, Roi, Szpektor, Idan, Kotek, Hadas, Belinkov, Yonatan
Large language models (LLMs) often produce errors, including factual inaccuracies, biases, and reasoning failures, collectively referred to as "hallucinations". Recent studies have demonstrated that LLMs' internal states encode information regarding
Externí odkaz:
http://arxiv.org/abs/2410.02707
Autor:
Gunter, Tom, Wang, Zirui, Wang, Chong, Pang, Ruoming, Narayanan, Andy, Zhang, Aonan, Zhang, Bowen, Chen, Chen, Chiu, Chung-Cheng, Qiu, David, Gopinath, Deepak, Yap, Dian Ang, Yin, Dong, Nan, Feng, Weers, Floris, Yin, Guoli, Huang, Haoshuo, Wang, Jianyu, Lu, Jiarui, Peebles, John, Ye, Ke, Lee, Mark, Du, Nan, Chen, Qibin, Keunebroek, Quentin, Wiseman, Sam, Evans, Syd, Lei, Tao, Rathod, Vivek, Kong, Xiang, Du, Xianzhi, Li, Yanghao, Wang, Yongqiang, Gao, Yuan, Ahmed, Zaid, Xu, Zhaoyang, Lu, Zhiyun, Rashid, Al, Jose, Albin Madappally, Doane, Alec, Bencomo, Alfredo, Vanderby, Allison, Hansen, Andrew, Jain, Ankur, Anupama, Anupama Mann, Kamal, Areeba, Wu, Bugu, Brum, Carolina, Maalouf, Charlie, Erdenebileg, Chinguun, Dulhanty, Chris, Moritz, Dominik, Kang, Doug, Jimenez, Eduardo, Ladd, Evan, Shi, Fangping, Bai, Felix, Chu, Frank, Hohman, Fred, Kotek, Hadas, Coleman, Hannah Gillis, Li, Jane, Bigham, Jeffrey, Cao, Jeffery, Lai, Jeff, Cheung, Jessica, Shan, Jiulong, Zhou, Joe, Li, John, Qin, Jun, Singh, Karanjeet, Vega, Karla, Zou, Kelvin, Heckman, Laura, Gardiner, Lauren, Bowler, Margit, Cordell, Maria, Cao, Meng, Hay, Nicole, Shahdadpuri, Nilesh, Godwin, Otto, Dighe, Pranay, Rachapudi, Pushyami, Tantawi, Ramsey, Frigg, Roman, Davarnia, Sam, Shah, Sanskruti, Guha, Saptarshi, Sirovica, Sasha, Ma, Shen, Ma, Shuang, Wang, Simon, Kim, Sulgi, Jayaram, Suma, Shankar, Vaishaal, Paidi, Varsha, Kumar, Vivek, Wang, Xin, Zheng, Xin, Cheng, Walker, Shrager, Yael, Ye, Yang, Tanaka, Yasu, Guo, Yihao, Meng, Yunsong, Luo, Zhao Tang, Ouyang, Zhi, Aygar, Alp, Wan, Alvin, Walkingshaw, Andrew, Lin, Antonie, Farooq, Arsalan, Ramerth, Brent, Reed, Colorado, Bartels, Chris, Chaney, Chris, Riazati, David, Yang, Eric Liang, Feldman, Erin, Hochstrasser, Gabriel, Seguin, Guillaume, Belousova, Irina, Pelemans, Joris, Yang, Karen, Vahid, Keivan Alizadeh, Cao, Liangliang, Najibi, Mahyar, Zuliani, Marco, Horton, Max, Cho, Minsik, Bhendawade, Nikhil, Dong, Patrick, Maj, Piotr, Agrawal, Pulkit, Shan, Qi, Fu, Qichen, Poston, Regan, Xu, Sam, Liu, Shuangning, Rao, Sushma, Heeramun, Tashweena, Merth, Thomas, Rayala, Uday, Cui, Victor, Sridhar, Vivek Rangarajan, Zhang, Wencong, Zhang, Wenqi, Wu, Wentao, Zhou, Xingyu, Liu, Xinwen, Zhao, Yang, Xia, Yin, Ren, Zhile, Ren, Zhongzheng
We present foundation language models developed to power Apple Intelligence features, including a ~3 billion parameter model designed to run efficiently on devices and a large server-based language model designed for Private Cloud Compute. These mode
Externí odkaz:
http://arxiv.org/abs/2407.21075
As modern Large Language Models (LLMs) shatter many state-of-the-art benchmarks in a variety of domains, this paper investigates their behavior in the domains of ethics and fairness, focusing on protected group bias. We conduct a two-part study: firs
Externí odkaz:
http://arxiv.org/abs/2403.14727
Autor:
Sun, David Q., Abzaliev, Artem, Kotek, Hadas, Xiu, Zidi, Klein, Christopher, Williams, Jason D.
Controversy is a reflection of our zeitgeist, and an important aspect to any discourse. The rise of large language models (LLMs) as conversational systems has increased public reliance on these systems for answers to their various questions. Conseque
Externí odkaz:
http://arxiv.org/abs/2310.18130
Publikováno v:
In Collective Intelligence Conference (CI '23), November 06-09, 2023, Delft, Netherlands. ACM, New York, NY, USA (2023)
Large Language Models (LLMs) have made substantial progress in the past several months, shattering state-of-the-art benchmarks in many domains. This paper investigates LLMs' behavior with respect to gender stereotypes, a known issue for prior models.
Externí odkaz:
http://arxiv.org/abs/2308.14921
Autor:
Hovančík, Dávid, Kratochvílová, Marie, Haidamak, Tetiana, Doležal, Petr, Carva, Karel, Bendová, Anežka, Prokleška, Jan, Proschek, Petr, Míšek, Martin, Gorbunov, Denis I., Kotek, Jan, Sechovský, Vladimír, Pospíšil, Jiří
Publikováno v:
Physical Review B 108, 104416 (2023)
We studied magnetic states and phase transitions in the van der Waals antiferromagnet VBr3 by specific heat and magnetization measurements of single crystals in high magnetic fields and by ab initio density functional theory calculations focused on e
Externí odkaz:
http://arxiv.org/abs/2303.11794
Autor:
Xiu, Zidi, Cheng, Kai-Chen, Sun, David Q., Lu, Jiannan, Kotek, Hadas, Zhang, Yuhan, McCarthy, Paul, Klein, Christopher, Pulman, Stephen, Williams, Jason D.
With the growing popularity of intelligent assistants (IAs), evaluating IA quality becomes an increasingly active field of research. This paper identifies and quantifies the feedback effect, a novel component in IA-user interactions: how the capabili
Externí odkaz:
http://arxiv.org/abs/2303.10255
Publikováno v:
Chemical Engineering Transactions, Vol 111 (2024)
This study examines the phenomenon of ageing in the context of major accident prevention, with a particular focus on the growing recognition of ageing as a significant contributor to industrial accidents. The concept of ageing has evolved from its in
Externí odkaz:
https://doaj.org/article/c77b25f25c294835a6b9e44014bd93de
Autor:
Jasikova, Darina1 darina.jasikova@tul.cz, Kotek, Michal1, Bratka, Petr2, Sidlof, Petr3, Kopecky, Vaclav1
Publikováno v:
EPJ Web of Conferences. 7/4/2024, Vol. 299, p1-7. 7p.
Autor:
Ayshwarya Subramanian, Katherine A. Vernon, Yiming Zhou, Jamie L. Marshall, Maria Alimova, Carlos Arevalo, Fan Zhang, Michal Slyper, Julia Waldman, Monica S. Montesinos, Danielle Dionne, Lan T. Nguyen, Michael S. Cuoco, Dan Dubinsky, Jason Purnell, Keith Keller, Samuel H. Sturner, Elizabeth Grinkevich, Ayan Ghoshal, Amanda Kotek, Giorgio Trivioli, Nathan Richoz, Mary B. Humphrey, Isabella G. Darby, Sarah J. Miller, Yingping Xu, Astrid Weins, Alexandra Chloe-Villani, Steven L. Chang, Matthias Kretzler, Orit Rosenblatt-Rosen, Jillian L. Shaw, Kurt A. Zimmerman, Menna R. Clatworthy, Aviv Regev, Anna Greka
Publikováno v:
Cell Reports, Vol 43, Iss 6, Pp 114253- (2024)
Summary: Diabetic kidney disease (DKD), the most common cause of kidney failure, is a frequent complication of diabetes and obesity, and yet to date, treatments to halt its progression are lacking. We analyze kidney single-cell transcriptomic profile
Externí odkaz:
https://doaj.org/article/c26ba69a6afe47bdbc7deb8408bb9ad1