Zobrazeno 1 - 10
of 657
pro vyhledávání: '"Shi , Jiaxin"'
Autor:
Wang, Zhihu, Zhao, Shiwan, Wang, Yu, Huang, Heyuan, Xie, Sitao, Zhang, Yubo, Shi, Jiaxin, Wang, Zhixing, Li, Hongyan, Yan, Junchi
The Chain-of-Thought (CoT) paradigm has become a pivotal method for solving complex problems. However, its application to intricate, domain-specific tasks remains challenging, as large language models (LLMs) often struggle to accurately decompose the
Externí odkaz:
http://arxiv.org/abs/2408.06904
Discrete diffusion modeling is a promising framework for modeling and generating data in discrete spaces. To sample from these models, different strategies present trade-offs between computation and sample quality. A predominant sampling strategy is
Externí odkaz:
http://arxiv.org/abs/2407.21243
Recommendation systems usually recommend the existing contents to different users. However, in comparison to static recommendation methods, a recommendation logic that dynamically adjusts based on user interest preferences may potentially attract a l
Externí odkaz:
http://arxiv.org/abs/2407.09992
With the advance of diffusion models, today's video generation has achieved impressive quality. But generating temporal consistent long videos is still challenging. A majority of video diffusion models (VDMs) generate long videos in an autoregressive
Externí odkaz:
http://arxiv.org/abs/2406.10981
Masked (or absorbing) diffusion is actively explored as an alternative to autoregressive models for generative modeling of discrete data. However, existing work in this area has been hindered by unnecessarily complex model formulations and unclear re
Externí odkaz:
http://arxiv.org/abs/2406.04329
Autor:
Lin, Wang, Chen, Jingyuan, Shi, Jiaxin, Zhu, Yichen, Liang, Chen, Miao, Junzhong, Jin, Tao, Zhao, Zhou, Wu, Fei, Yan, Shuicheng, Zhang, Hanwang
We tackle the common challenge of inter-concept visual confusion in compositional concept generation using text-guided diffusion models (TGDMs). It becomes even more pronounced in the generation of customized concepts, due to the scarcity of user-pro
Externí odkaz:
http://arxiv.org/abs/2405.06914
In this study, we develop a latent factor model for analysing high-dimensional binary data. Specifically, a standard probit model is used to describe the regression relationship between the observed binary data and the continuous latent variables. Ou
Externí odkaz:
http://arxiv.org/abs/2404.08457
Based on multilingual pre-trained models, cross-lingual transfer with prompt learning has shown promising effectiveness, where soft prompt learned in a source language is transferred to target languages for downstream tasks, particularly in the low-r
Externí odkaz:
http://arxiv.org/abs/2403.12407
Autor:
Pan, Yu, Yuan, Ye, Yin, Yichun, Shi, Jiaxin, Xu, Zenglin, Zhang, Ming, Shang, Lifeng, Jiang, Xin, Liu, Qun
The rapid progress of Transformers in artificial intelligence has come at the cost of increased resource consumption and greenhouse gas emissions due to growing model sizes. Prior work suggests using pretrained small models to improve training effici
Externí odkaz:
http://arxiv.org/abs/2401.09192
Autor:
Liu, Jinxin, Cao, Shulin, Shi, Jiaxin, Zhang, Tingjian, Nie, Lunyiu, Hu, Linmei, Hou, Lei, Li, Juanzi
Knowledge Base Question Answering (KBQA) aims to answer natural language questions based on facts in knowledge bases. A typical approach to KBQA is semantic parsing, which translates a question into an executable logical form in a formal language. Re
Externí odkaz:
http://arxiv.org/abs/2401.05777