Zobrazeno 1 - 10
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pro vyhledávání: '"Muxi, A."'
Autor:
Wang, Yejie, He, Keqing, Fu, Dayuan, Gongque, Zhuoma, Xu, Heyang, Chen, Yanxu, Wang, Zhexu, Fu, Yujia, Dong, Guanting, Diao, Muxi, Wang, Jingang, Zhang, Mengdi, Cai, Xunliang, Xu, Weiran
Recently, there has been a growing interest in studying how to construct better code instruction tuning data. However, we observe Code models trained with these datasets exhibit high performance on HumanEval but perform worse on other benchmarks such
Externí odkaz:
http://arxiv.org/abs/2409.03810
Autor:
Zheng, Muxi, Zeng, Jinfeng, Yang, Wentao, Chang, Pei-Jie, Yan, Bao, Zhang, Haoran, Wang, Min, Wei, Shijie, Long, Gui-Lu
The Learning-With-Errors (LWE) problem is a crucial computational challenge with significant implications for post-quantum cryptography and computational learning theory. Here we propose a quantum-classical hybrid algorithm with Ising model (HAWI) to
Externí odkaz:
http://arxiv.org/abs/2408.07936
As large language models (LLMs) continue to advance in capability and influence, ensuring their security and preventing harmful outputs has become crucial. A promising approach to address these concerns involves training models to automatically gener
Externí odkaz:
http://arxiv.org/abs/2408.02632
Autor:
Qiao, Runqi, Tan, Qiuna, Dong, Guanting, Wu, Minhui, Sun, Chong, Song, Xiaoshuai, GongQue, Zhuoma, Lei, Shanglin, Wei, Zhe, Zhang, Miaoxuan, Qiao, Runfeng, Zhang, Yifan, Zong, Xiao, Xu, Yida, Diao, Muxi, Bao, Zhimin, Li, Chen, Zhang, Honggang
Visual mathematical reasoning, as a fundamental visual reasoning ability, has received widespread attention from the Large Multimodal Models (LMMs) community. Existing benchmarks, such as MathVista and MathVerse, focus more on the result-oriented per
Externí odkaz:
http://arxiv.org/abs/2407.01284
Autor:
Song, Xiaoshuai, Diao, Muxi, Dong, Guanting, Wang, Zhengyang, Fu, Yujia, Qiao, Runqi, Wang, Zhexu, Fu, Dayuan, Wu, Huangxuan, Liang, Bin, Zeng, Weihao, Wang, Yejie, GongQue, Zhuoma, Yu, Jianing, Tan, Qiuna, Xu, Weiran
Computer Science (CS) stands as a testament to the intricacies of human intelligence, profoundly advancing the development of artificial intelligence and modern society. However, the current community of large language models (LLMs) overly focuses on
Externí odkaz:
http://arxiv.org/abs/2406.08587
Despite extensive studies on the one-dimensional Su-Schrieffer-Heeger-Hubbard (SSHH) model, the variant incorporating next-nearest neighbour hopping remains largely unexplored. Here, we investigate the ground-state properties of this extended SSHH mo
Externí odkaz:
http://arxiv.org/abs/2405.10351
Autor:
Chen, Muxi, Liu, Yi, Yi, Jian, Xu, Changran, Lai, Qiuxia, Wang, Hongliang, Ho, Tsung-Yi, Xu, Qiang
In this paper, we present an empirical study introducing a nuanced evaluation framework for text-to-image (T2I) generative models, applied to human image synthesis. Our framework categorizes evaluations into two distinct groups: first, focusing on im
Externí odkaz:
http://arxiv.org/abs/2403.05125
In the deployment of large language models (LLMs), accurate confidence estimation is critical for assessing the credibility of model predictions. However, existing methods often fail to overcome the issue of overconfidence on incorrect answers. In th
Externí odkaz:
http://arxiv.org/abs/2402.11279
Autor:
Wang, Yejie, He, Keqing, Dong, Guanting, Wang, Pei, Zeng, Weihao, Diao, Muxi, Mou, Yutao, Zhang, Mengdi, Wang, Jingang, Cai, Xunliang, Xu, Weiran
Code Large Language Models (Code LLMs) have demonstrated outstanding performance in code-related tasks. Several instruction tuning approaches have been proposed to boost the code generation performance of pre-trained Code LLMs. In this paper, we intr
Externí odkaz:
http://arxiv.org/abs/2402.09136
Autor:
Yao Yang, Yuan Yang, Rui Xia, Ying Zhou, Yuxia Yuxia, Di Tian, Yulan Ren, Qianzhi Lin, Muxi Cheng, Pingjuan Tan, Xi Su
Publikováno v:
Reproductive Health, Vol 21, Iss 1, Pp 1-17 (2024)
Abstract Background Fertility rates have been decreasing both worldwide and in China. Although current policies have been aimed at raising the birth rate in China, their overall effects have been unclear. Therefore, exploration of fertility intention
Externí odkaz:
https://doaj.org/article/933f4c7d28994741aa077f058a124365
