Zobrazeno 1 - 10
of 1 281
pro vyhledávání: '"LI Xiaoya"'
Preparation and Activity Evaluation of Anti-tyrosinase Peptides from Takifugu rubripes Skin Collagen
Publikováno v:
Shipin Kexue, Vol 45, Iss 13, Pp 115-124 (2024)
Response surface methodology (RSM) was employed to optimize the hydrolysis conditions of acid-soluble collagen (ASC) from Takifugu rubripes skin for the preparation of anti-tyrosinase peptides. The anti-tyrosinase and antioxidant activity of ultrafil
Externí odkaz:
https://doaj.org/article/dff5847190034b02a22ccd708227269f
Autor:
Wang, Shuhe, Cao, Beiming, Zhang, Shengyu, Li, Xiaoya, Li, Jiwei, Wu, Fei, Wang, Guoyin, Hovy, Eduard
Due to the lack of a large collection of high-quality labeled sentence pairs with textual similarity scores, existing approaches for Semantic Textual Similarity (STS) mostly rely on unsupervised techniques or training signals that are only partially
Externí odkaz:
http://arxiv.org/abs/2312.05603
Autor:
Sun, Xiaofei, Li, Xiaoya, Zhang, Shengyu, Wang, Shuhe, Wu, Fei, Li, Jiwei, Zhang, Tianwei, Wang, Guoyin
A standard paradigm for sentiment analysis is to rely on a singular LLM and makes the decision in a single round under the framework of in-context learning. This framework suffers the key disadvantage that the single-turn output generated by a single
Externí odkaz:
http://arxiv.org/abs/2311.01876
Publikováno v:
E3S Web of Conferences, Vol 272, p 02028 (2021)
The bearing capacity and durability of reinforced concrete (RC) structures can be affected by fire. In this study, a three-dimensional (3D) meso-scale simulation model for RC short column subjected to axial compression after exposure to fire was esta
Externí odkaz:
https://doaj.org/article/347e173052c74e11a35bc199fc83d1b1
Autor:
Zhang, Shengyu, Dong, Linfeng, Li, Xiaoya, Zhang, Sen, Sun, Xiaofei, Wang, Shuhe, Li, Jiwei, Hu, Runyi, Zhang, Tianwei, Wu, Fei, Wang, Guoyin
This paper surveys research works in the quickly advancing field of instruction tuning (IT), which can also be referred to as supervised fine-tuning (SFT)\footnote{In this paper, unless specified otherwise, supervised fine-tuning (SFT) and instructio
Externí odkaz:
http://arxiv.org/abs/2308.10792
Autor:
Sun, Xiaofei, Dong, Linfeng, Li, Xiaoya, Wan, Zhen, Wang, Shuhe, Zhang, Tianwei, Li, Jiwei, Cheng, Fei, Lyu, Lingjuan, Wu, Fei, Wang, Guoyin
Despite the success of ChatGPT, its performances on most NLP tasks are still well below the supervised baselines. In this work, we looked into the causes, and discovered that its subpar performance was caused by the following factors: (1) token limit
Externí odkaz:
http://arxiv.org/abs/2306.09719
Autor:
Wang, Chuan, Liang, Yihan, Hu, Ronghao, He, Kai, Gao, Guilong, Yan, Xin, Yao, Dong, Wang, Tao, Li, Xiaoya, Tian, Jinshou, Zhu, Wenjun, Lv, Meng
Microscale imaging of mesoscale bulk materials under dynamic compression is important for understanding their properties. In this work, we study the effects of the depth of field (DoF) and field of view (FoV) of the optical lens and extract the scatt
Externí odkaz:
http://arxiv.org/abs/2306.08948
Millimeter wave (mmWave)-based unmanned aerial vehicle (UAV) communication is a promising candidate for future communications due to its flexibility and sufficient bandwidth. However, random fluctuations in the position of hovering UAVs will lead to
Externí odkaz:
http://arxiv.org/abs/2306.06405
Autor:
Cui, Jinchuan, Li, Xiaoya
The airplane refueling problem is a nonlinear combinatorial optimization problem, and its equivalent problem the $n$-vehicle exploration problem is proved to be NP-complete (arXiv:2304.03965v1, The $n$-vehicle exploration problem is NP-complete). In
Externí odkaz:
http://arxiv.org/abs/2305.12478
Despite the remarkable success of large-scale Language Models (LLMs) such as GPT-3, their performances still significantly underperform fine-tuned models in the task of text classification. This is due to (1) the lack of reasoning ability in addressi
Externí odkaz:
http://arxiv.org/abs/2305.08377