Zobrazeno 1 - 10
of 33 925
pro vyhledávání: '"Jacky, A."'
Designers often engage with video to gain rich, temporal insights about the context of users, collaboratively analyzing it to gather ideas, challenge assumptions, and foster empathy. To capture the full visual context of users and their situations, d
Externí odkaz:
http://arxiv.org/abs/2411.10192
Sterile neutrinos are well-motivated beyond the Standard Model (BSM) particles. The Standard Model Effective Field Theory (SMEFT) augmented with these new fields is known as the $\nu$SMEFT. We present the first code for solving the renormalization gr
Externí odkaz:
http://arxiv.org/abs/2411.07220
Autor:
Ma, Yecheng Jason, Hejna, Joey, Wahid, Ayzaan, Fu, Chuyuan, Shah, Dhruv, Liang, Jacky, Xu, Zhuo, Kirmani, Sean, Xu, Peng, Driess, Danny, Xiao, Ted, Tompson, Jonathan, Bastani, Osbert, Jayaraman, Dinesh, Yu, Wenhao, Zhang, Tingnan, Sadigh, Dorsa, Xia, Fei
Predicting temporal progress from visual trajectories is important for intelligent robots that can learn, adapt, and improve. However, learning such progress estimator, or temporal value function, across different tasks and domains requires both a la
Externí odkaz:
http://arxiv.org/abs/2411.04549
Autor:
Chi, Yizhou, Lin, Yizhang, Hong, Sirui, Pan, Duyi, Fei, Yaying, Mei, Guanghao, Liu, Bangbang, Pang, Tianqi, Kwok, Jacky, Zhang, Ceyao, Liu, Bang, Wu, Chenglin
Automated Machine Learning (AutoML) approaches encompass traditional methods that optimize fixed pipelines for model selection and ensembling, as well as newer LLM-based frameworks that autonomously build pipelines. While LLM-based agents have shown
Externí odkaz:
http://arxiv.org/abs/2410.17238
Autor:
Zhang, Fengji, Wu, Linquan, Bai, Huiyu, Lin, Guancheng, Li, Xiao, Yu, Xiao, Wang, Yue, Chen, Bei, Keung, Jacky
Coding tasks have been valuable for evaluating Large Language Models (LLMs), as they demand the comprehension of high-level instructions, complex reasoning, and the implementation of functional programs -- core capabilities for advancing Artificial G
Externí odkaz:
http://arxiv.org/abs/2410.12381
We investigate the dynamics of short-range interacting Bose gases with varying degrees of diluteness and interaction strength. By applying a combined mean-field and semiclassical space-time rescaling to the dynamics in both the Gross--Pitaevskii and
Externí odkaz:
http://arxiv.org/abs/2409.14812
Hot, dense phases of Dirac fermions - predicted to resemble relativistic plasma - are uniquely accessible through photoexcitation of pristine, charge neutral graphene. We demonstrate a sensitive temperature probe of the photoexcited Dirac state, call
Externí odkaz:
http://arxiv.org/abs/2409.03058
Backdoor attacks, in which a model behaves maliciously when given an attacker-specified trigger, pose a major security risk for practitioners who depend on publicly released language models. Backdoor detection methods aim to detect whether a released
Externí odkaz:
http://arxiv.org/abs/2409.00399
Recent advancements in Distributional Reinforcement Learning (DRL) for modeling loss distributions have shown promise in developing hedging strategies in derivatives markets. A common approach in DRL involves learning the quantiles of loss distributi
Externí odkaz:
http://arxiv.org/abs/2408.12446
Two categories of four-fermion SMEFT operators are semileptonic (two quarks and two leptons) and hadronic (four quarks). At tree level, an operator of a given category contributes only to processes of the same category. However, when the SMEFT Hamilt
Externí odkaz:
http://arxiv.org/abs/2408.03380