Zobrazeno 1 - 10
of 13 710
pro vyhledávání: '"Xiao, Han"'
Autor:
He, Xin-Chen, Cai, Yi-Fu, Ma, Xiao-Han, Papanikolaou, Theodoros, Saridakis, Emmanuel N., Sasaki, Misao
Ultra-light primordial black holes (PBHs) with masses $M_{\rm PBH}<5\times 10^8\mathrm{g}$ can dominate transiently the energy budget of the Universe and reheat the Universe through their evaporation taking place before Big Bang Nucleosynthesis. The
Externí odkaz:
http://arxiv.org/abs/2409.11333
Autor:
Li, Zebang, Xiao, Han
We propose a novel cointegrated autoregressive model for matrix-valued time series, with bi-linear cointegrating vectors corresponding to the rows and columns of the matrix data. Compared to the traditional cointegration analysis, our proposed matrix
Externí odkaz:
http://arxiv.org/abs/2409.10860
Autor:
Sturua, Saba, Mohr, Isabelle, Akram, Mohammad Kalim, Günther, Michael, Wang, Bo, Krimmel, Markus, Wang, Feng, Mastrapas, Georgios, Koukounas, Andreas, Wang, Nan, Xiao, Han
We introduce jina-embeddings-v3, a novel text embedding model with 570 million parameters, achieves state-of-the-art performance on multilingual data and long-context retrieval tasks, supporting context lengths of up to 8192 tokens. The model include
Externí odkaz:
http://arxiv.org/abs/2409.10173
Frequency Diverse RIS (FD-RIS) Enhanced Wireless Communications via Joint Distance-Angle Beamforming
The conventional reconfigurable intelligent surface (RIS) assisted far-field communication systems can only implement angle beamforming, which actually limits the capability for reconfiguring the wireless propagation environment. To overcome this lim
Externí odkaz:
http://arxiv.org/abs/2409.08525
Many use cases require retrieving smaller portions of text, and dense vector-based retrieval systems often perform better with shorter text segments, as the semantics are less likely to be "over-compressed" in the embeddings. Consequently, practition
Externí odkaz:
http://arxiv.org/abs/2409.04701
Autor:
Jha, Rohan, Wang, Bo, Günther, Michael, Mastrapas, Georgios, Sturua, Saba, Mohr, Isabelle, Koukounas, Andreas, Akram, Mohammad Kalim, Wang, Nan, Xiao, Han
Multi-vector dense models, such as ColBERT, have proven highly effective in information retrieval. ColBERT's late interaction scoring approximates the joint query-document attention seen in cross-encoders while maintaining inference efficiency closer
Externí odkaz:
http://arxiv.org/abs/2408.16672
Autor:
Yang, Junyue, Wang, Xiaoding, Ma, Xiao-Han, Zhang, Dongdong, Yan, Sheng-Feng, Ilyas, Amara, Cai, Yi-Fu
Primordial black holes (PBHs) are considered viable candidates for dark matter and the seeds of supermassive black holes (SMBHs), with their fruitful physical influences providing significant insights into the conditions of the early Universe. Cosmic
Externí odkaz:
http://arxiv.org/abs/2408.16579
Fuzzy dark matter (FDM) with mass around $10^{-22}$ eV is viewed as a promising paradigm in understanding the structure formation of the local universe at small scales. Recent observations, however, begin to challenge FDM in return. We focus on the a
Externí odkaz:
http://arxiv.org/abs/2407.19521
Matrix time series, which consist of matrix-valued data observed over time, are prevalent in various fields such as economics, finance, and engineering. Such matrix time series data are often observed in high dimensions. Matrix factor models are empl
Externí odkaz:
http://arxiv.org/abs/2407.05624
Autor:
Chai, Yuxiang, Huang, Siyuan, Niu, Yazhe, Xiao, Han, Liu, Liang, Zhang, Dingyu, Gao, Peng, Ren, Shuai, Li, Hongsheng
AI agents have drawn increasing attention mostly on their ability to perceive environments, understand tasks, and autonomously achieve goals. To advance research on AI agents in mobile scenarios, we introduce the Android Multi-annotation EXpo (AMEX),
Externí odkaz:
http://arxiv.org/abs/2407.17490