Zobrazeno 1 - 10
of 6 582
pro vyhledávání: '"Huang, Shan"'
We propose a Mamba accelerator with reconfigurable architecture, MARCA.We propose three novel approaches in this paper. (1) Reduction alternative PE array architecture for both linear and element-wise operations. For linear operations, the reduction
Externí odkaz:
http://arxiv.org/abs/2409.11440
Autor:
Hamanaka, Masashi, Huang, Shan-Chi
We construct soliton solutions of the four-dimensional Wess-Zumino-Witten (4dWZW) model in the context of a unified theory of integrable systems with relation to the 4d/6d Chern-Simons theory. We calculate the action density of the solutions and find
Externí odkaz:
http://arxiv.org/abs/2408.16554
The diffusion of novel information through social networks is essential for dismantling echo chambers and promoting innovation. Our study examines how two major types of viral channels, specifically Direct Messaging (DM) and Broadcasting (BC), impact
Externí odkaz:
http://arxiv.org/abs/2408.03579
Autor:
Yang, Hao, Lu, Hongyuan, Zeng, Xinhua, Liu, Yang, Zhang, Xiang, Yang, Haoran, Zhang, Yumeng, Huang, Shan, Wei, Yiran, Lam, Wai
In the rapidly evolving field of natural language processing, dialogue systems primarily employ a single-step dialogue paradigm. Although this paradigm is efficient, it lacks the depth and fluidity of human interactions and does not appear natural. W
Externí odkaz:
http://arxiv.org/abs/2407.04093
Quantum network is an emerging type of network structure that leverages the principles of quantum mechanics to transmit and process information. Compared with classical data reconstruction algorithms, quantum networks make image reconstruction more e
Externí odkaz:
http://arxiv.org/abs/2404.11994
Publikováno v:
Network and Distributed Systems Security (NDSS) Symposium 2022
Coverage-guided gray-box fuzzing (CGF) is an efficient software testing technique. There are usually multiple objectives to optimize in CGF. However, existing CGF methods cannot successfully find the optimal values for multiple objectives simultaneou
Externí odkaz:
http://arxiv.org/abs/2401.15956
Uncertainty relations and quantum entanglement are pivotal concepts in quantum theory. Beyond their fundamental significance in shaping our understanding of the quantum world, they also underpin crucial applications in quantum information theory. In
Externí odkaz:
http://arxiv.org/abs/2312.09765
Large language models (LLMs) have demonstrated impressive abilities in various domains while the inference cost is expensive. Many previous studies exploit quantization methods to reduce LLM inference cost by reducing latency and memory consumption.
Externí odkaz:
http://arxiv.org/abs/2311.16442
Publikováno v:
Phys. Rev. Research 6, 013127 (2024)
The entropic way of formulating Heisenberg's uncertainty principle not only plays a fundamental role in applications of quantum information theory but also is essential for manifesting genuine nonclassical features of quantum systems. In this paper w
Externí odkaz:
http://arxiv.org/abs/2309.16955