Zobrazeno 1 - 10
of 22 953
pro vyhledávání: '"An, Xiaoxin"'
Autor:
Lou, Renze, Xu, Hanzi, Wang, Sijia, Du, Jiangshu, Kamoi, Ryo, Lu, Xiaoxin, Xie, Jian, Sun, Yuxuan, Zhang, Yusen, Ahn, Jihyun Janice, Fang, Hongchao, Zou, Zhuoyang, Ma, Wenchao, Li, Xi, Zhang, Kai, Xia, Congying, Huang, Lifu, Yin, Wenpeng
Numerous studies have assessed the proficiency of AI systems, particularly large language models (LLMs), in facilitating everyday tasks such as email writing, question answering, and creative content generation. However, researchers face unique chall
Externí odkaz:
http://arxiv.org/abs/2410.22394
With the rapid development of urban underground rail vehicles,subway positioning, which plays a fundamental role in the traffic navigation and collision avoidance systems, has become a research hot-spot these years. Most current subway positioning me
Externí odkaz:
http://arxiv.org/abs/2410.09492
Autor:
Wang, Zhihao, Liu, Shiyu, Huang, Jianheng, Wang, Zheng, Liao, Yixuan, Chen, Xiaoxin, Yao, Junfeng, Su, Jinsong
Due to the continuous emergence of new data, version updates have become an indispensable requirement for Large Language Models (LLMs). The training paradigms for version updates of LLMs include pre-training from scratch (PTFS) and continual pre-trai
Externí odkaz:
http://arxiv.org/abs/2410.04103
Autor:
Li, Zongming, Cheng, Tianheng, Chen, Shoufa, Sun, Peize, Shen, Haocheng, Ran, Longjin, Chen, Xiaoxin, Liu, Wenyu, Wang, Xinggang
Autoregressive (AR) models have reformulated image generation as next-token prediction, demonstrating remarkable potential and emerging as strong competitors to diffusion models. However, control-to-image generation, akin to ControlNet, remains large
Externí odkaz:
http://arxiv.org/abs/2410.02705
This paper proposes a simple yet effective jailbreak attack named FlipAttack against black-box LLMs. First, from the autoregressive nature, we reveal that LLMs tend to understand the text from left to right and find that they struggle to comprehend t
Externí odkaz:
http://arxiv.org/abs/2410.02832
Autor:
Wang, Yu, Han, Chi, Wu, Tongtong, He, Xiaoxin, Zhou, Wangchunshu, Sadeq, Nafis, Chen, Xiusi, He, Zexue, Wang, Wei, Haffari, Gholamreza, Ji, Heng, McAuley, Julian
Building a human-like system that continuously interacts with complex environments -- whether simulated digital worlds or human society -- presents several key challenges. Central to this is enabling continuous, high-frequency interactions, where the
Externí odkaz:
http://arxiv.org/abs/2409.13265
Autor:
Yang, Sai, Hu, Bin, Zhou, Bojun, Liu, Fan, Wu, Xiaoxin, Zhang, Xinsong, Gu, Juping, Zhou, Jun
Power Line Autonomous Inspection (PLAI) plays a crucial role in the construction of smart grids due to its great advantages of low cost, high efficiency, and safe operation. PLAI is completed by accurately detecting the electrical components and defe
Externí odkaz:
http://arxiv.org/abs/2409.04812
Akademický článek
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Targeted community detection aims to distinguish a particular type of community in the network. This is an important task with a lot of real-world applications, e.g., identifying fraud groups in transaction networks. Traditional community detection m
Externí odkaz:
http://arxiv.org/abs/2408.07369
Autor:
Zhu, Yuhan, Zhang, Guozhen, Xu, Chen, Shen, Haocheng, Chen, Xiaoxin, Wu, Gangshan, Wang, Limin
Vision-language models have showcased impressive zero-shot classification capabilities when equipped with suitable text prompts. Previous studies have shown the effectiveness of test-time prompt tuning; however, these methods typically require per-im
Externí odkaz:
http://arxiv.org/abs/2408.05775