Zobrazeno 1 - 10
of 16 798
pro vyhledávání: '"Jin,Wei"'
Countless decisions shape our daily lives, and it is paramount to understand the how and why behind these choices. In this paper, we introduce a new LLM decision-making framework called STRUX, which enhances LLM decision-making by providing structure
Externí odkaz:
http://arxiv.org/abs/2410.12583
Effective epidemic forecasting is critical for public health strategies and efficient medical resource allocation, especially in the face of rapidly spreading infectious diseases. However, existing deep-learning methods often overlook the dynamic nat
Externí odkaz:
http://arxiv.org/abs/2410.00049
Denoising Diffusion Probabilistic Models (DDPMs) represent a contemporary class of generative models with exceptional qualities in both synthesis and maximizing the data likelihood. These models work by traversing a forward Markov Chain where data is
Externí odkaz:
http://arxiv.org/abs/2409.08487
Loop current order has been suggested as a promising candidate for the spontaneous time-reversal symmetry breaking $2a_0 \times 2a_0$ charge density wave (CDW) revealed in vanadium-based kagom\'e metals \avs\ ($A$ = K, Rb, Cs) near van Hove filling $
Externí odkaz:
http://arxiv.org/abs/2409.08139
Motivated by the recent discovery of charge density wave (CDW) order in the magnetic kagom\'e metal FeGe, we study the single-orbital $t$-$U$-$V_1$-$V_2$ model on the kagom\'e lattice, where $U$, $V_1$, and $V_2$ are the onsite, nearest neighbor, and
Externí odkaz:
http://arxiv.org/abs/2409.03063
Autor:
Lin, Chih-Yu, Liang, Jin-Wei
Vehicle environmental awareness is a crucial issue in improving road safety. Through a variety of sensors and vehicle-to-vehicle communication, vehicles can collect a wealth of data. However, to make these data useful, sensor data must be integrated
Externí odkaz:
http://arxiv.org/abs/2408.12769
Packing for Supervised Fine-Tuning (SFT) in autoregressive models involves concatenating data points of varying lengths until reaching the designed maximum length to facilitate GPU processing. However, randomly concatenating data points and feeding t
Externí odkaz:
http://arxiv.org/abs/2408.09327
Reconfigurable Intelligent Surfaces (RIS) are programmable metasurfaces utilizing sub-wavelength meta-atoms and a controller for precise electromagnetic wave manipulation. This work introduces an innovative channel coding scheme, termed RIS-based dif
Externí odkaz:
http://arxiv.org/abs/2408.09132
Large Language Models (LLMs) have demonstrated remarkable performance across various natural language processing tasks. Recently, several LLMs-based pipelines have been developed to enhance learning on graphs with text attributes, showcasing promisin
Externí odkaz:
http://arxiv.org/abs/2407.12068
Publikováno v:
Phys. Rev. D 110, 075013 (2024)
The minimum seesaw model with two right-handed neutrinos is considered, where the lightest neutrino is naturally massless. Instead of adopting texture zeros in the lepton Yukawa matrices, which cause both theoretical and experimental troubles, here w
Externí odkaz:
http://arxiv.org/abs/2406.16352