Zobrazeno 1 - 10
of 107 474
pro vyhledávání: '"LI, Jing"'
Autor:
Chirita, Andreea
Publikováno v:
Asian Theatre Journal. Spring2023, Vol. 40 Issue 1, p44-74. 31p.
BM25, a widely-used lexical search algorithm, remains crucial in information retrieval despite the rise of pre-trained and large language models (PLMs/LLMs). However, it neglects query-document similarity and lacks semantic understanding, limiting it
Externí odkaz:
http://arxiv.org/abs/2408.06643
Metallic mesh is a transparent electromagnetic shielding film with a fine metal line structure. However, it can develop defects that affect the optoelectronic performance whether in the production preparation or in actual use. The development of in-s
Externí odkaz:
http://arxiv.org/abs/2408.05518
Autor:
Yao, Yiqun, Ma, Wenjia, Fang, Xuezhi, Jiang, Xin, Li, Xiang, Meng, Xuying, Han, Peng, Li, Jing, Sun, Aixin, Wang, Yequan
Controlling the format of outputs generated by large language models (LLMs) is a critical functionality in various applications. Current methods typically employ constrained decoding with rule-based automata or fine-tuning with manually crafted forma
Externí odkaz:
http://arxiv.org/abs/2408.04392
Deep Video Quality Assessment (VQA) methods have shown impressive high-performance capabilities. Notably, no-reference (NR) VQA methods play a vital role in situations where obtaining reference videos is restricted or not feasible. Nevertheless, as m
Externí odkaz:
http://arxiv.org/abs/2407.20766
We theoretically investigate the product-state distribution of weakly bound diatomic van der Waals molecules via ultracold three-body recombination of bosonic alkali atoms. We find a two-level hierarchy of spin propensity rules at zero magnetic field
Externí odkaz:
http://arxiv.org/abs/2407.18567
Autor:
Chang, Chen-Chia, Shan, Yikang, Fan, Shaoze, Li, Jing, Zhang, Shun, Cao, Ningyuan, Chen, Yiran, Zhang, Xin
In the realm of electronic and electrical engineering, automation of analog circuit is increasingly vital given the complexity and customized requirements of modern applications. However, existing methods only develop search-based algorithms that req
Externí odkaz:
http://arxiv.org/abs/2407.18269
We present MeshSegmenter, a simple yet effective framework designed for zero-shot 3D semantic segmentation. This model successfully extends the powerful capabilities of 2D segmentation models to 3D meshes, delivering accurate 3D segmentation across d
Externí odkaz:
http://arxiv.org/abs/2407.13675
We analyze the single-photon band structure and the transport of a single photon in a one-dimensional coupled-spinning-resonator chain. The time-reversal symmetry of the resonators chain is broken by the spinning of the resonators, instead of externa
Externí odkaz:
http://arxiv.org/abs/2407.11339
Deep learning-based multi-view facial capture methods have shown impressive accuracy while being several orders of magnitude faster than a traditional mesh registration pipeline. However, the existing systems (e.g. TEMPEH) are strictly restricted to
Externí odkaz:
http://arxiv.org/abs/2407.10193