Zobrazeno 1 - 10
of 84
pro vyhledávání: '"Ren, Xiaoqi"'
Autor:
Sarkhel, Ritesh, Ren, Xiaoqi, Costa, Lauro Beltrao, Su, Guolong, Perot, Vincent, Xie, Yanan, Koukoumidis, Emmanouil, Nandi, Arnab
A visually rich document (VRD) utilizes visual features along with linguistic cues to disseminate information. Training a custom extractor that identifies named entities from a document requires a large number of instances of the target document type
Externí odkaz:
http://arxiv.org/abs/2404.00488
Autor:
Lee, Jinhyuk, Dai, Zhuyun, Ren, Xiaoqi, Chen, Blair, Cer, Daniel, Cole, Jeremy R., Hui, Kai, Boratko, Michael, Kapadia, Rajvi, Ding, Wen, Luan, Yi, Duddu, Sai Meher Karthik, Abrego, Gustavo Hernandez, Shi, Weiqiang, Gupta, Nithi, Kusupati, Aditya, Jain, Prateek, Jonnalagadda, Siddhartha Reddy, Chang, Ming-Wei, Naim, Iftekhar
We present Gecko, a compact and versatile text embedding model. Gecko achieves strong retrieval performance by leveraging a key idea: distilling knowledge from large language models (LLMs) into a retriever. Our two-step distillation process begins wi
Externí odkaz:
http://arxiv.org/abs/2403.20327
Autor:
Wang, Zifeng, Zhang, Zizhao, Ebrahimi, Sayna, Sun, Ruoxi, Zhang, Han, Lee, Chen-Yu, Ren, Xiaoqi, Su, Guolong, Perot, Vincent, Dy, Jennifer, Pfister, Tomas
Continual learning aims to enable a single model to learn a sequence of tasks without catastrophic forgetting. Top-performing methods usually require a rehearsal buffer to store past pristine examples for experience replay, which, however, limits the
Externí odkaz:
http://arxiv.org/abs/2204.04799
Autor:
Wang, Zifeng, Zhang, Zizhao, Lee, Chen-Yu, Zhang, Han, Sun, Ruoxi, Ren, Xiaoqi, Su, Guolong, Perot, Vincent, Dy, Jennifer, Pfister, Tomas
The mainstream paradigm behind continual learning has been to adapt the model parameters to non-stationary data distributions, where catastrophic forgetting is the central challenge. Typical methods rely on a rehearsal buffer or known task identity a
Externí odkaz:
http://arxiv.org/abs/2112.08654
Autor:
Hou, Fuhua, Ren, Xiaoqi, Guo, Haikuo, Ning, Xuli, Wang, Yulong, Li, Tiantian, Zhu, Chengjun, Zhao, Ying, Zhang, Xiaodan
Publikováno v:
In Nano Energy 1 June 2024 124
Autor:
Guo, Haikuo, Hou, Fuhua, Ning, Xuli, Ren, Xiaoqi, Yang, Haoran, Liu, Rui, Li, Tiantian, Zhu, Chengjun, Zhao, Ying, Li, Wei, Zhang, Xiaodan
Publikováno v:
In Journal of Energy Chemistry April 2024 91:313-322
Autor:
Hou, Fuhua, Yang, Haoran, Guo, Haikuo, Ning, Xuli, Ren, Xiaoqi, Guo, Jingwei, Wei, Jiali, Liu, Rui, Li, Tiantian
Publikováno v:
In Organic Electronics February 2024 125
Publikováno v:
In Diamond & Related Materials January 2024 141
Scheduling precedence-constrained tasks is a classical problem that has been studied for more than fifty years. However, little progress has been made in the setting where there are communication delays between tasks. Results for the case of identica
Externí odkaz:
http://arxiv.org/abs/2004.14639
Publikováno v:
In Ceramics International 15 November 2023 49(22) Part A:34362-34374