Zobrazeno 1 - 10
of 54 565
pro vyhledávání: '"P, Agrawal"'
We introduce a teleoperation system that integrates a 5 DOF actuated neck, designed to replicate natural human head movements and perception. By enabling behaviors like peeking or tilting, the system provides operators with a more intuitive and compr
Externí odkaz:
http://arxiv.org/abs/2411.00704
Autor:
Nandi, Subhadip, Agrawal, Neeraj
Few-Shot Cross-Domain NER is the process of leveraging knowledge from data-rich source domains to perform entity recognition on data scarce target domains. Most previous state-of-the-art (SOTA) approaches use pre-trained language models (PLMs) for cr
Externí odkaz:
http://arxiv.org/abs/2411.00451
Autor:
Zograf, George, Küçüköz, Betül, Polyakov, Alexander Yu., Bancerek, Maria, Agrawal, Abhay V., Wieczorek, Witlef, Antosiewicz, Tomasz J., Shegai, Timur O.
Dielectric metasurfaces that combine high-index materials with optical nonlinearities are widely recognized for their potential in various quantum and classical nanophotonic applications. However, the fabrication of high-quality metasurfaces poses si
Externí odkaz:
http://arxiv.org/abs/2410.20960
Autor:
Kumar, Shanu, Venkata, Akhila Yesantarao, Khandelwal, Shubhanshu, Santra, Bishal, Agrawal, Parag, Gupta, Manish
As large language models become increasingly central to solving complex tasks, the challenge of optimizing long, unstructured prompts has become critical. Existing optimization techniques often struggle to effectively handle such prompts, leading to
Externí odkaz:
http://arxiv.org/abs/2410.20788
Cooperative manipulation tasks impose various structure-, task-, and robot-specific constraints on mobile manipulators. However, current methods struggle to model and solve these myriad constraints simultaneously. We propose a twofold solution: first
Externí odkaz:
http://arxiv.org/abs/2410.21630
Autor:
Hwang, Jaedong, Cheung, Brian, Hong, Zhang-Wei, Boopathy, Akhilan, Agrawal, Pulkit, Fiete, Ila
Highly performant large-scale pre-trained models promise to also provide a valuable foundation for learning specialized tasks, by fine-tuning the model to the desired task. By starting from a good general-purpose model, the goal is to achieve both sp
Externí odkaz:
http://arxiv.org/abs/2410.21582
The classic greedy coloring (first-fit) algorithm considers the vertices of an input graph $G$ in a given order and assigns the first available color to each vertex $v$ in $G$. In the {\sc Grundy Coloring} problem, the task is to find an ordering of
Externí odkaz:
http://arxiv.org/abs/2410.20629
Autor:
Zhang, Zhuohao Jerry, Thompson, John R., Shah, Aditi, Agrawal, Manish, Sarikaya, Alper, Wobbrock, Jacob O., Cutrell, Edward, Lee, Bongshin
We introduce ChartA11y, an app developed to enable accessible 2-D visualizations on smartphones for blind users through a participatory and iterative design process involving 13 sessions with two blind partners. We also present a design journey for m
Externí odkaz:
http://arxiv.org/abs/2410.20545
Autor:
Bohrdt, Annabelle, Wei, David, Adler, Daniel, Srakaew, Kritsana, Agrawal, Suchita, Weckesser, Pascal, Bloch, Immanuel, Grusdt, Fabian, Zeiher, Johannes
The interplay of spin and charge degrees of freedom is believed to underlie various unresolved phenomena in strongly correlated systems. Quantum simulators based on neutral atoms provide an excellent testbed for investigating such phenomena and resol
Externí odkaz:
http://arxiv.org/abs/2410.19500
Autor:
Li, Zhangheng, You, Keen, Zhang, Haotian, Feng, Di, Agrawal, Harsh, Li, Xiujun, Moorthy, Mohana Prasad Sathya, Nichols, Jeff, Yang, Yinfei, Gan, Zhe
Building a generalist model for user interface (UI) understanding is challenging due to various foundational issues, such as platform diversity, resolution variation, and data limitation. In this paper, we introduce Ferret-UI 2, a multimodal large la
Externí odkaz:
http://arxiv.org/abs/2410.18967