Zobrazeno 1 - 10
of 787
pro vyhledávání: '"Zhang, Liyi"'
Autoregressive language models have demonstrated a remarkable ability to extract latent structure from text. The embeddings from large language models have been shown to capture aspects of the syntax and semantics of language. But what {\em should} e
Externí odkaz:
http://arxiv.org/abs/2406.03707
Categories can be represented at different levels of abstraction, from prototypes focused on the most typical members to remembering all observed exemplars of the category. These representations have been explored in the context of supervised learnin
Externí odkaz:
http://arxiv.org/abs/2406.02268
Autor:
Marjieh, Raja, Kumar, Sreejan, Campbell, Declan, Zhang, Liyi, Bencomo, Gianluca, Snell, Jake, Griffiths, Thomas L.
Humans rely on strong inductive biases to learn from few examples and abstract useful information from sensory data. Instilling such biases in machine learning models has been shown to improve their performance on various benchmarks including few-sho
Externí odkaz:
http://arxiv.org/abs/2405.19420
Large language models (LLMs) can produce long, coherent passages of text, suggesting that LLMs, although trained on next-word prediction, must represent the latent structure that characterizes a document. Prior work has found that internal representa
Externí odkaz:
http://arxiv.org/abs/2312.14226
Autor:
Xu, Yaqi, Sui, Xinyao, Li, Jinhong, Zhang, Liyi, Wang, Pengpeng, Liu, Yang, Shi, Huijing, Zhang, Yunhui
Publikováno v:
In Eco-Environment & Health September 2024 3(3):308-316
Variational inference often minimizes the "reverse" Kullbeck-Leibler (KL) KL(q||p) from the approximate distribution q to the posterior p. Recent work studies the "forward" KL KL(p||q), which unlike reverse KL does not lead to variational approximati
Externí odkaz:
http://arxiv.org/abs/2202.01841
Fuzzing is one of the prevailing methods for vulnerability detection. However, even state-of-the-art fuzzing methods become ineffective after some period of time, i.e., the coverage hardly improves as existing methods are ineffective to focus the att
Externí odkaz:
http://arxiv.org/abs/2112.07143
Autor:
Chen, Long1 (AUTHOR), Zhang, Liyi2 (AUTHOR), Zhou, Diange1 (AUTHOR), Dong, Shengjie3 (AUTHOR) dongshengjay@126.com, Xing, Dan1 (AUTHOR) lovetroy@126.com
Publikováno v:
Orthopaedic Surgery. Jun2024, Vol. 16 Issue 6, p1381-1389. 9p.
Publikováno v:
In Industrial Crops & Products 15 December 2024 222 Part 5
Autor:
Sui, Xinyao, Zhang, Liyi, Xu, Weiqing, Meng, Xia, Zhao, Yue, Gui, Yuyan, Shi, Huijing, Wang, Pengpeng, Zhang, Yunhui
Publikováno v:
In Eco-Environment & Health December 2024 3(4):436-444