Zobrazeno 1 - 10
of 1 075
pro vyhledávání: '"YE Xi"'
Autor:
LI Xiao-tong1, GAO Yong-gang, LUO Xin, YE Xi-wen, YIN Gui-lin, ZOU Li, ZHANG Qing-jian, NIU Zeng-yuan
Publikováno v:
Zhipu Xuebao, Vol 44, Iss 2, Pp 321-332 (2023)
Per- and polyfluoroalkyl substances (PFAS) are a large class of organic compounds, in which all or part of the hydrogen atoms in the alkyl-chain are replaced by fluorine, and many PFAS are used globally in chemicals, leather textile, paper, packaging
Externí odkaz:
https://doaj.org/article/578d828411fb4ebca229e00d6660ea48
Autor:
Zhejun Guo, Fang Wang, Longchun Wang, Kejun Tu, Chunpeng Jiang, Ye Xi, Wen Hong, Qingda Xu, Xiaolin Wang, Bin Yang, Bomin Sun, Zude Lin, Jingquan Liu
Publikováno v:
Microsystems & Nanoengineering, Vol 8, Iss 1, Pp 1-12 (2022)
Abstract Implantable brain–computer interface (BCI) devices are an effective tool to decipher fundamental brain mechanisms and treat neural diseases. However, traditional neural implants with rigid or bulky cross-sections cause trauma and decrease
Externí odkaz:
https://doaj.org/article/7369253985244cdab3b068645518c949
Autor:
Sprague, Zayne, Yin, Fangcong, Rodriguez, Juan Diego, Jiang, Dongwei, Wadhwa, Manya, Singhal, Prasann, Zhao, Xinyu, Ye, Xi, Mahowald, Kyle, Durrett, Greg
Chain-of-thought (CoT) via prompting is the de facto method for eliciting reasoning capabilities from large language models (LLMs). But for what kinds of tasks is this extra ``thinking'' really helpful? To analyze this, we conducted a quantitative me
Externí odkaz:
http://arxiv.org/abs/2409.12183
Publikováno v:
Acta Pharmaceutica, Vol 70, Iss 2, Pp 227-237 (2020)
Curcumin is a lipophilic anti-cancer compound extracted from turmeric. Our previous study demonstrated that the curcumin-loaded nanostructured lipid carrier (Cur-NLC) exhibits superior anti-cancer activity in inhibiting proliferation as well as induc
Externí odkaz:
https://doaj.org/article/cc30ebf171dc4457927debb11fbef6a1
Publikováno v:
Cailiao gongcheng, Vol 48, Iss 4, Pp 108-115 (2020)
To obtain magnesium matrix composites with high strength and high plasticity, SiCp/AZ91D magnesium matrix nanocomposites with uniform dispersion of SiC nanoparticles were prepared by high intensity ultrasonic dispersion method and metal mold gravity
Externí odkaz:
https://doaj.org/article/0991e8d64cb04e61bb82419bdf8f7404
Large language models (LLMs) are increasingly being used to synthesize and reason about source code. However, the static nature of these models' knowledge does not reflect the fact that libraries and API functions they invoke are continuously evolvin
Externí odkaz:
http://arxiv.org/abs/2407.06249
Recent work in interpretability shows that large language models (LLMs) can be adapted for new tasks in a learning-free way: it is possible to intervene on LLM representations to elicit desired behaviors for alignment. For instance, adding certain bi
Externí odkaz:
http://arxiv.org/abs/2406.01563
Autor:
Zhang, Xinlu, Chen, Zhiyu Zoey, Ye, Xi, Yang, Xianjun, Chen, Lichang, Wang, William Yang, Petzold, Linda Ruth
Instruction Fine-Tuning (IFT) significantly enhances the zero-shot capabilities of pretrained Large Language Models (LLMs). While coding data is known to boost LLM reasoning abilities during pretraining, its role in activating internal reasoning capa
Externí odkaz:
http://arxiv.org/abs/2405.20535
In the vast and dynamic landscape of urban settings, Traffic Safety Description and Analysis plays a pivotal role in applications ranging from insurance inspection to accident prevention. This paper introduces CityLLaVA, a novel fine-tuning framework
Externí odkaz:
http://arxiv.org/abs/2405.03194
Different entities with the same name can be difficult to distinguish. Handling confusing entity mentions is a crucial skill for language models (LMs). For example, given the question "Where was Michael Jordan educated?" and a set of documents discus
Externí odkaz:
http://arxiv.org/abs/2404.12447