Zobrazeno 1 - 10
of 8 574
pro vyhledávání: '"Xing, Chen"'
Autor:
Chen, Lebing, Ye, Gaihua, Nnokwe, Cynthia, Pan, Xing-Chen, Tanigaki, Katsumi, Cheng, Guanghui, Chen, Yong P., Yan, Jiaqiang, Mandrus, David G., Allcca, Andres E. Llacsahuanga, Giles-Donovan, Nathan, Birgeneau, Robert J., He, Rui
Optical phonon engineering through nonlinear effects has been utilized in ultrafast control of material properties. However, nonlinear optical phonons typically exhibit rapid decay due to strong mode-mode couplings, limiting their effectiveness in te
Externí odkaz:
http://arxiv.org/abs/2410.03128
Post-training Large Language Models (LLMs) with explicit reasoning trajectories can enhance their reasoning abilities. However, acquiring such high-quality trajectory data typically demands meticulous supervision from humans or superior models, which
Externí odkaz:
http://arxiv.org/abs/2410.02108
Autor:
Du, Jiangshu, Wang, Yibo, Zhao, Wenting, Deng, Zhongfen, Liu, Shuaiqi, Lou, Renze, Zou, Henry Peng, Venkit, Pranav Narayanan, Zhang, Nan, Srinath, Mukund, Zhang, Haoran Ranran, Gupta, Vipul, Li, Yinghui, Li, Tao, Wang, Fei, Liu, Qin, Liu, Tianlin, Gao, Pengzhi, Xia, Congying, Xing, Chen, Cheng, Jiayang, Wang, Zhaowei, Su, Ying, Shah, Raj Sanjay, Guo, Ruohao, Gu, Jing, Li, Haoran, Wei, Kangda, Wang, Zihao, Cheng, Lu, Ranathunga, Surangika, Fang, Meng, Fu, Jie, Liu, Fei, Huang, Ruihong, Blanco, Eduardo, Cao, Yixin, Zhang, Rui, Yu, Philip S., Yin, Wenpeng
This work is motivated by two key trends. On one hand, large language models (LLMs) have shown remarkable versatility in various generative tasks such as writing, drawing, and question answering, significantly reducing the time required for many rout
Externí odkaz:
http://arxiv.org/abs/2406.16253
Autor:
Xia, Congying, Xing, Chen, Du, Jiangshu, Yang, Xinyi, Feng, Yihao, Xu, Ran, Yin, Wenpeng, Xiong, Caiming
This paper presents FoFo, a pioneering benchmark for evaluating large language models' (LLMs) ability to follow complex, domain-specific formats, a crucial yet underexamined capability for their application as AI agents. Despite LLMs' advancements, e
Externí odkaz:
http://arxiv.org/abs/2402.18667
Understanding the early evolution of coronal mass ejections (CMEs), in particular their initiation, is the key to forecasting solar eruptions and induced disastrous space weather. Although many initiation mechanisms have been proposed, a full underst
Externí odkaz:
http://arxiv.org/abs/2402.16679
The properties of pre-eruptive structures and coronal mass ejections (CMEs) are characterized by those of their footpoints, the latter of which thus attract great interest. However, how to identify the footpoints of pre-eruptive structures and how to
Externí odkaz:
http://arxiv.org/abs/2310.13532
Autor:
Xu, Yiheng, Su, Hongjin, Xing, Chen, Mi, Boyu, Liu, Qian, Shi, Weijia, Hui, Binyuan, Zhou, Fan, Liu, Yitao, Xie, Tianbao, Cheng, Zhoujun, Zhao, Siheng, Kong, Lingpeng, Wang, Bailin, Xiong, Caiming, Yu, Tao
We introduce Lemur and Lemur-Chat, openly accessible language models optimized for both natural language and coding capabilities to serve as the backbone of versatile language agents. The evolution from language chat models to functional language age
Externí odkaz:
http://arxiv.org/abs/2310.06830
Autor:
Nijkamp, Erik, Xie, Tian, Hayashi, Hiroaki, Pang, Bo, Xia, Congying, Xing, Chen, Vig, Jesse, Yavuz, Semih, Laban, Philippe, Krause, Ben, Purushwalkam, Senthil, Niu, Tong, Kryściński, Wojciech, Murakhovs'ka, Lidiya, Choubey, Prafulla Kumar, Fabbri, Alex, Liu, Ye, Meng, Rui, Tu, Lifu, Bhat, Meghana, Wu, Chien-Sheng, Savarese, Silvio, Zhou, Yingbo, Joty, Shafiq, Xiong, Caiming
Large Language Models (LLMs) have become ubiquitous across various domains, transforming the way we interact with information and conduct research. However, most high-performing LLMs remain confined behind proprietary walls, hindering scientific prog
Externí odkaz:
http://arxiv.org/abs/2309.03450