Zobrazeno 1 - 10
of 1 830
pro vyhledávání: '"Xu, Nuo"'
With the rapid development of large language models (LLMs), assessing their performance on health-related inquiries has become increasingly essential. It is critical that these models provide accurate and trustworthy health information, as their appl
Externí odkaz:
http://arxiv.org/abs/2409.15766
Autor:
Xu, Nuo, Wang, Pinghui, Zhao, Junzhou, Sun, Feiyang, Lan, Lin, Tao, Jing, Pan, Li, Guan, Xiaohong
Legal Judgment Prediction (LJP) aims to automatically predict a law case's judgment results based on the text description of its facts. In practice, the confusing law articles (or charges) problem frequently occurs, reflecting that the law cases appl
Externí odkaz:
http://arxiv.org/abs/2408.09422
Autor:
Li, Zhiwei, Zhang, Bozhen, Yang, Lei, Shen, Tianyu, Xu, Nuo, Hao, Ruosen, Li, Weiting, Yan, Tao, Liu, Huaping
V2X cooperation, through the integration of sensor data from both vehicles and infrastructure, is considered a pivotal approach to advancing autonomous driving technology. Current research primarily focuses on enhancing perception accuracy, often ove
Externí odkaz:
http://arxiv.org/abs/2405.03971
Efficient waste management and recycling heavily rely on garbage exploration and identification. In this study, we propose GSA2Seg (Garbage Segmentation and Attribute Analysis), a novel visual approach that utilizes quadruped robotic dogs as autonomo
Externí odkaz:
http://arxiv.org/abs/2404.18112
Autor:
Zhang, Jiwen, Wu, Jihao, Teng, Yihua, Liao, Minghui, Xu, Nuo, Xiao, Xiao, Wei, Zhongyu, Tang, Duyu
Large language model (LLM) leads to a surge of autonomous GUI agents for smartphone, which completes a task triggered by natural language through predicting a sequence of actions of API. Even though the task highly relies on past actions and visual o
Externí odkaz:
http://arxiv.org/abs/2403.02713
Autor:
Xu, Nuo, Wang, Wen, Yang, Rong, Qin, Mengjie, Lin, Zheyuan, Song, Wei, Zhang, Chunlong, Gu, Jason, Li, Chao
Object-goal navigation is a challenging task that requires guiding an agent to specific objects based on first-person visual observations. The ability of agent to comprehend its surroundings plays a crucial role in achieving successful object finding
Externí odkaz:
http://arxiv.org/abs/2402.18892
Despite the impressive capabilities of large language models (LLMs), their performance on information extraction tasks is still not entirely satisfactory. However, their remarkable rewriting capabilities and extensive world knowledge offer valuable i
Externí odkaz:
http://arxiv.org/abs/2402.14568
Autor:
Xu, Nuo, Zhao, Jun, Zu, Can, Li, Sixian, Chen, Lu, Zhang, Zhihao, Zheng, Rui, Dou, Shihan, Qin, Wenjuan, Gui, Tao, Zhang, Qi, Huang, Xuanjing
Faithfulness, expressiveness, and elegance is the constant pursuit in machine translation. However, traditional metrics like \textit{BLEU} do not strictly align with human preference of translation quality. In this paper, we explore leveraging reinfo
Externí odkaz:
http://arxiv.org/abs/2402.11525
Autor:
Wang, Binghai, Zheng, Rui, Chen, Lu, Liu, Yan, Dou, Shihan, Huang, Caishuang, Shen, Wei, Jin, Senjie, Zhou, Enyu, Shi, Chenyu, Gao, Songyang, Xu, Nuo, Zhou, Yuhao, Fan, Xiaoran, Xi, Zhiheng, Zhao, Jun, Wang, Xiao, Ji, Tao, Yan, Hang, Shen, Lixing, Chen, Zhan, Gui, Tao, Zhang, Qi, Qiu, Xipeng, Huang, Xuanjing, Wu, Zuxuan, Jiang, Yu-Gang
Reinforcement Learning from Human Feedback (RLHF) has become a crucial technology for aligning language models with human values and intentions, enabling models to produce more helpful and harmless responses. Reward models are trained as proxies for
Externí odkaz:
http://arxiv.org/abs/2401.06080
In harsh environments, organisms may self-organize into spatially patterned systems in various ways. So far, studies of ecosystem spatial self-organization have primarily focused on apparent orders reflected by regular patterns. However, self-organiz
Externí odkaz:
http://arxiv.org/abs/2311.07624