Zobrazeno 1 - 10
of 2 078
pro vyhledávání: '"YANG, Bowen"'
Learning generic skills for humanoid robots interacting with 3D scenes by mimicking human data is a key research challenge with significant implications for robotics and real-world applications. However, existing methodologies and benchmarks are cons
Externí odkaz:
http://arxiv.org/abs/2412.17730
Autor:
Dang, John, Singh, Shivalika, D'souza, Daniel, Ahmadian, Arash, Salamanca, Alejandro, Smith, Madeline, Peppin, Aidan, Hong, Sungjin, Govindassamy, Manoj, Zhao, Terrence, Kublik, Sandra, Amer, Meor, Aryabumi, Viraat, Campos, Jon Ander, Tan, Yi-Chern, Kocmi, Tom, Strub, Florian, Grinsztajn, Nathan, Flet-Berliac, Yannis, Locatelli, Acyr, Lin, Hangyu, Talupuru, Dwarak, Venkitesh, Bharat, Cairuz, David, Yang, Bowen, Chung, Tim, Ko, Wei-Yin, Shi, Sylvie Shang, Shukayev, Amir, Bae, Sammie, Piktus, Aleksandra, Castagné, Roman, Cruz-Salinas, Felipe, Kim, Eddie, Crawhall-Stein, Lucas, Morisot, Adrien, Roy, Sudip, Blunsom, Phil, Zhang, Ivan, Gomez, Aidan, Frosst, Nick, Fadaee, Marzieh, Ermis, Beyza, Üstün, Ahmet, Hooker, Sara
We introduce the Aya Expanse model family, a new generation of 8B and 32B parameter multilingual language models, aiming to address the critical challenge of developing highly performant multilingual models that match or surpass the capabilities of m
Externí odkaz:
http://arxiv.org/abs/2412.04261
Autor:
Jiao, Jianhao, Geng, Ruoyu, Li, Yuanhang, Xin, Ren, Yang, Bowen, Wu, Jin, Wang, Lujia, Liu, Ming, Fan, Rui, Kanoulas, Dimitrios
The creation of a metric-semantic map, which encodes human-prior knowledge, represents a high-level abstraction of environments. However, constructing such a map poses challenges related to the fusion of multi-modal sensor data, the attainment of rea
Externí odkaz:
http://arxiv.org/abs/2412.00291
We show that Hall conductance and its non-abelian and higher-dimensional analogs are obstructions to promoting a symmetry of a state to a gauge symmetry. To do this, we define a local Lie algebra over a Grothendieck site as a pre-cosheaf of Lie algeb
Externí odkaz:
http://arxiv.org/abs/2410.19287
In this paper, we present a computational algorithm for constructing all boundaries and defects of topological generalized Pauli stabilizer codes in two spatial dimensions. Utilizing the operator algebra formalism, we establish a one-to-one correspon
Externí odkaz:
http://arxiv.org/abs/2410.11942
Autor:
Li, Huayang, Verga, Pat, Sen, Priyanka, Yang, Bowen, Viswanathan, Vijay, Lewis, Patrick, Watanabe, Taro, Su, Yixuan
The context window of large language models (LLMs) has been extended significantly in recent years. However, while the context length that the LLM can process has grown, the capability of the model to accurately reason over that context degrades noti
Externí odkaz:
http://arxiv.org/abs/2410.03227
OAM spectrum reflects the OAM component included in measured light field which is crucial in OAM -based application. However, traditional definition-based OAM spectrum algorithm is extraordinary time-consuming and limited to prior knowledge severely.
Externí odkaz:
http://arxiv.org/abs/2409.06430
Understanding how humans cooperatively rearrange household objects is critical for VR/AR and human-robot interaction. However, in-depth studies on modeling these behaviors are under-researched due to the lack of relevant datasets. We fill this gap by
Externí odkaz:
http://arxiv.org/abs/2406.19353
Autor:
Yang, Bowen, Patel, Tarun, Cheng, Meixin, Pichugin, Kostyantyn, Tian, Lin, Sherlekar, Nachiket, Yan, Shaohua, Fu, Yang, Tian, Shangjie, Lei, Hechang, Reimer, Michael E., Okamoto, Junichi, Tsen, Adam W.
Various noncollinear spin textures and magnetic phases have been predicted in twisted two-dimensional CrI$_3$ due to competing ferromagnetic (FM) and antiferromagnetic (AFM) interlayer exchange from moir\'e stacking - with potential spintronic applic
Externí odkaz:
http://arxiv.org/abs/2406.08556
The fusion of raw features from multiple sensors on an autonomous vehicle to create a Bird's Eye View (BEV) representation is crucial for planning and control systems. There is growing interest in using deep learning models for BEV semantic segmentat
Externí odkaz:
http://arxiv.org/abs/2405.20986