Zobrazeno 1 - 10
of 21
pro vyhledávání: '"Xiao, Zilin"'
Speculative decoding has proven to be an efficient solution to large language model (LLM) inference, where the small drafter predicts future tokens at a low cost, and the target model is leveraged to verify them in parallel. However, most existing wo
Externí odkaz:
http://arxiv.org/abs/2410.05589
Autor:
Ouyang, Siru, Yu, Wenhao, Ma, Kaixin, Xiao, Zilin, Zhang, Zhihan, Jia, Mengzhao, Han, Jiawei, Zhang, Hongming, Yu, Dong
Large Language Models (LLMs) excel in code generation yet struggle with modern AI software engineering tasks. Unlike traditional function-level or file-level coding tasks, AI software engineering requires not only basic coding proficiency but also ad
Externí odkaz:
http://arxiv.org/abs/2410.14684
Although large language models (LLMs) have demonstrated remarkable proficiency in modeling text and generating human-like text, they may exhibit biases acquired from training data in doing so. Specifically, LLMs may be susceptible to a common cogniti
Externí odkaz:
http://arxiv.org/abs/2404.01461
We introduce AutoVER, an Autoregressive model for Visual Entity Recognition. Our model extends an autoregressive Multi-modal Large Language Model by employing retrieval augmented constrained generation. It mitigates low performance on out-of-domain e
Externí odkaz:
http://arxiv.org/abs/2402.18695
Previous entity disambiguation (ED) methods adopt a discriminative paradigm, where prediction is made based on matching scores between mention context and candidate entities using length-limited encoders. However, these methods often struggle to capt
Externí odkaz:
http://arxiv.org/abs/2311.03253
Generative approaches powered by large language models (LLMs) have demonstrated emergent abilities in tasks that require complex reasoning abilities. Yet the generative nature still makes the generated content suffer from hallucinations, thus unsuita
Externí odkaz:
http://arxiv.org/abs/2311.03250
Publikováno v:
Chinese Journal of Diabetes Mellitus. 2024, Vol. 16 Issue 5, p573-578. 6p.
Autor:
Zhang, Ziwei, Luo, Shuoming, Xiao, Zilin, Yin, Wenfeng, Shi, Xiajie, Chen, Hongzhi, Xie, Zhiguo, Liu, Zhenqi, Li, Xia, Zhou, Zhiguang
Publikováno v:
Journal of Clinical Endocrinology & Metabolism; Jun2024, Vol. 109 Issue 6, p1464-1473, 10p
Publikováno v:
Diabetes/Metabolism Research & Reviews; Mar2024, Vol. 40 Issue 3, p1-12, 12p
Publikováno v:
ICIC Express Letters. 16(9):965-972
We propose a method for generating variable-size pixel art from a given im- age. The variable-size pixel art is a relaxed version of conventional pixel art composed of regular square patterns. By performing row/column clustering, we generate rectangl
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=jairo_______::513719501b3008c8c0032dce4dbba853
http://hdl.handle.net/2324/6788277
http://hdl.handle.net/2324/6788277