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pro vyhledávání: '"P, Galley"'
Characterizing the nonclassicality of quantum systems under minimal assumptions is an important challenge for quantum foundations and technology. Here we introduce a theory-independent method of process tomography and perform it on a superconducting
Externí odkaz:
http://arxiv.org/abs/2411.13421
Autor:
Sun, Chung-En, Liu, Xiaodong, Yang, Weiwei, Weng, Tsui-Wei, Cheng, Hao, San, Aidan, Galley, Michel, Gao, Jianfeng
Recent research has shown that Large Language Models (LLMs) are vulnerable to automated jailbreak attacks, where adversarial suffixes crafted by algorithms appended to harmful queries bypass safety alignment and trigger unintended responses. Current
Externí odkaz:
http://arxiv.org/abs/2410.18469
Autor:
Yu, Xiao, Peng, Baolin, Vajipey, Vineeth, Cheng, Hao, Galley, Michel, Gao, Jianfeng, Yu, Zhou
Autonomous agents have demonstrated significant potential in automating complex multistep decision-making tasks. However, even state-of-the-art vision-language models (VLMs), such as GPT-4o, still fall short of human-level performance, particularly i
Externí odkaz:
http://arxiv.org/abs/2410.02052
In this work we present a hierarchy of generalized contextuality. It refines the traditional binary distinction between contextual and noncontextual theories, and facilitates their comparison based on how contextual they are. Our approach focuses on
Externí odkaz:
http://arxiv.org/abs/2406.00717
Interpretable machine learning has exploded as an area of interest over the last decade, sparked by the rise of increasingly large datasets and deep neural networks. Simultaneously, large language models (LLMs) have demonstrated remarkable capabiliti
Externí odkaz:
http://arxiv.org/abs/2402.01761
Autor:
Aloy, Albert, Galley, Thomas D., Jones, Caroline L., Ludescher, Stefan L., Mueller, Markus P.
Publikováno v:
Commun. Math. Phys. 405, 292 (2024)
How can detector click probabilities respond to spatial rotations around a fixed axis, in any possible physical theory? Here, we give a thorough mathematical analysis of this question in terms of "rotation boxes", which are analogous to the well-know
Externí odkaz:
http://arxiv.org/abs/2312.09278
Autor:
Ribar, Luka, Chelombiev, Ivan, Hudlass-Galley, Luke, Blake, Charlie, Luschi, Carlo, Orr, Douglas
The computational difficulties of large language model (LLM) inference remain a significant obstacle to their widespread deployment. The need for many applications to support long input sequences and process them in large batches typically causes tok
Externí odkaz:
http://arxiv.org/abs/2312.04985
The self-improving ability of large language models (LLMs), enabled by prompting them to analyze and revise their own outputs, has garnered significant interest in recent research. However, this ability has been shown to be absent and difficult to le
Externí odkaz:
http://arxiv.org/abs/2310.13522
Autor:
Lu, Pan, Bansal, Hritik, Xia, Tony, Liu, Jiacheng, Li, Chunyuan, Hajishirzi, Hannaneh, Cheng, Hao, Chang, Kai-Wei, Galley, Michel, Gao, Jianfeng
Large Language Models (LLMs) and Large Multimodal Models (LMMs) exhibit impressive problem-solving skills in many tasks and domains, but their ability in mathematical reasoning in visual contexts has not been systematically studied. To bridge this ga
Externí odkaz:
http://arxiv.org/abs/2310.02255
Autor:
Therese A. Rajasekera, Jeffrey D. Galley, Lauren Mashburn-Warren, Christian L. Lauber, Michael T. Bailey, Brett L. Worly, Tamar L. Gur
Publikováno v:
Scientific Reports, Vol 14, Iss 1, Pp 1-14 (2024)
Abstract The first two years of the COVID-19 pandemic and subsequent health mandates resulted in significant disruptions to daily life, creating a period of heightened psychosocial stress in myriad aspects. Understanding the impact of this period on
Externí odkaz:
https://doaj.org/article/13f75b8a2ce54767b1fffc2b70bf31a9
