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pro vyhledávání: '"Vu, The Anh"'
Autor:
Vu, Duc Anh, Duy, Nguyen Tran Cong, Wu, Xiaobao, Nhat, Hoang Minh, Mingzhe, Du, Thong, Nguyen Thanh, Luu, Anh Tuan
Large Language Models (LLMs) have shown strong in-context learning (ICL) abilities with a few demonstrations. However, one critical challenge is how to select demonstrations to elicit the full potential of LLMs. In this paper, we propose Curriculum D
Externí odkaz:
http://arxiv.org/abs/2411.18126
Magnetic anisotropy slows down magnetic relaxation and plays a prominent role in the design of permanent magnets. Coordination compounds of Co(II) in particular exhibit large magnetic anisotropy in the presence of low-coordination environments and ha
Externí odkaz:
http://arxiv.org/abs/2409.04418
Autor:
Mariano, Lorenzo A., Nguyen, Vu Ha Anh, Petersen, Jonatan B., Björnsson, Magnus, Bendix, Jesper, Eaton, Gareth R., Eaton, Sandra S., Lunghi, Alessandro
Magnetic resonance is a prime method for the study of chemical and biological structures and their dynamical processes. The interpretation of these experiments relies on considering the spin of electrons as the sole relevant degree of freedom. By app
Externí odkaz:
http://arxiv.org/abs/2407.01380
Parameter inference for linear and non-Gaussian state space models is challenging because the likelihood function contains an intractable integral over the latent state variables. While Markov chain Monte Carlo (MCMC) methods provide exact samples fr
Externí odkaz:
http://arxiv.org/abs/2406.15998
The ability of three-dimensional (3D) spheroid modeling to study the invasive behavior of breast cancer cells has drawn increased attention. The deep learning-based image processing framework is very effective at speeding up the cell morphological an
Externí odkaz:
http://arxiv.org/abs/2406.05349
Autor:
Chung, Nhat, Gao, Sensen, Vu, Tuan-Anh, Zhang, Jie, Liu, Aishan, Lin, Yun, Dong, Jin Song, Guo, Qing
Vision-Large-Language-Models (Vision-LLMs) are increasingly being integrated into autonomous driving (AD) systems due to their advanced visual-language reasoning capabilities, targeting the perception, prediction, planning, and control mechanisms. Ho
Externí odkaz:
http://arxiv.org/abs/2405.14169
Creating large-scale virtual urban scenes with variant styles is inherently challenging. To facilitate prototypes of virtual production and bypass the need for complex materials and lighting setups, we introduce the first vision-and-text-driven textu
Externí odkaz:
http://arxiv.org/abs/2404.10681
Autor:
Nguyen-Truong, Hai, Nguyen, E-Ro, Vu, Tuan-Anh, Tran, Minh-Triet, Hua, Binh-Son, Yeung, Sai-Kit
Referring image segmentation is a challenging task that involves generating pixel-wise segmentation masks based on natural language descriptions. The complexity of this task increases with the intricacy of the sentences provided. Existing methods hav
Externí odkaz:
http://arxiv.org/abs/2404.08590
When an inverse problem is solved by a gradient-based optimization algorithm, the corresponding forward and adjoint problems, which are introduced to compute the gradient, can be also solved iteratively. The idea of iterating at the same time on the
Externí odkaz:
http://arxiv.org/abs/2404.07526
The proliferation of online toxic speech is a pertinent problem posing threats to demographic groups. While explicit toxic speech contains offensive lexical signals, implicit one consists of coded or indirect language. Therefore, it is crucial for mo
Externí odkaz:
http://arxiv.org/abs/2403.16685