Results 11 to 20 of about 776 (171)

Taught by the Internet, Exploring Bias in OpenAIs GPT3

CoRR, 2023
This research delves into the current literature on bias in Natural Language Processing Models and the techniques proposed to mitigate the problem of bias, including why it is important to tackle bias in the first place. Additionally, these techniques are further analysed in the light of newly developed models that tower in size over past editions.
Ali Ayaz, Aditya Nawalgaria, Ruilian Yin
openaire   +4 more sources

GPT3 as a Lexical Knowledge Base for Portuguese? [PDF]

, 2023
We test the GPT3 language model in zero- and few-shot acquisition of lexico-semantic knowledge in Portuguese, with simple instruction prompts, and compare it with a BERT-based approach. Results are assessed in two test sets: TALES and the Portuguese translation of BATS.
Oliveira, Hugo Gonçalo, Rodrigues, Ricardo   +1 more
openaire   +2 more sources

A New Approach for the Development of Grid Models Calculating Tropospheric Key Parameters over China

Remote Sensing, 2021
Pressure, water vapor pressure, temperature, and weighted mean temperature (Tm) are tropospheric parameters that play an important role in high-precision global navigation satellite system navigation (GNSS).
Ge Zhu, Liangke Huang, Lilong Liu, Chen Li, Junyu Li, Ling Huang, Lv Zhou, Hongchang He   +7 more
doaj   +2 more sources

Refining the ERA5-based global model for vertical adjustment of zenith tropospheric delay

Satellite Navigation, 2022
Tropospheric delay is an important factor affecting high precision Global Navigation Satellite System (GNSS) positioning and also the basic data for GNSS atmospheric research.
Ge Zhu, Liangke Huang, Yunzhen Yang, Junyu Li, Lv Zhou, Lilong Liu   +5 more
doaj   +2 more sources

Comprehensive Analysis and Validation of the Atmospheric Weighted Mean Temperature Models in China

Remote Sensing, 2022
Atmospheric weighted mean temperature (Tm) is a key parameter used by the Global Navigation Satellite System (GNSS) for calculating precipitable water vapor (PWV).
Yongjie Ma, Qingzhi Zhao, Kan Wu, Wanqiang Yao, Yang Liu, Zufeng Li, Yun Shi   +6 more
doaj   +2 more sources

Development of a ZTD Vertical Profile Model Considering the Spatiotemporal Variation of Height Scale Factor with Different Reanalysis Products in China

Atmosphere, 2022
Tropospheric delay is one of the key factors that may affect high-precision satellite navigation and positioning and water vapor retrieval performance.
Xin Wang, Ge Zhu, Liangke Huang, Haoyu Wang, Yunzhen Yang, Junyu Li, Ling Huang, Lv Zhou, Lilong Liu   +8 more
doaj   +2 more sources

Weighted Mean Temperature Hybrid Models in China Based on Artificial Neural Network Methods

Remote Sensing, 2022
The weighted mean temperature (Tm) is crucial for converting zenith wet delay to precipitable water vapor in global navigation satellite system meteorology.
Meng Cai, Junyu Li, Lilong Liu, Liangke Huang, Lv Zhou, Ling Huang, Hongchang He   +6 more
doaj   +2 more sources

Real-time retrieval of high-precision ZTD maps using GNSS observation

Geodesy and Geodynamics
Zenith Tropospheric Delay (ZTD) is an important factor that restricts the high-precision positioning of global navigation satellite system (GNSS), and it is of great significance in establishing a real-time and high-precision ZTD model. However, existing
Qingzhi Zhao, Wei Wang, Jinfang Yin, Kan Wu, Lv Zhou, Yibin Yao, Pengcheng Wang, Jing Su, Xiaocheng Wang, Han Wang, Jia Bao, Yumeng Hu, Zhou Zhuo, Yuting Gao   +13 more
doaj   +2 more sources

The GNSS PWV retrieval using non-observation meteorological parameters based on ERA5 and its relation with precipitation

Geodesy and Geodynamics
The pressure and temperature significantly influence precipitable water vapor (PWV) retrieval. Global Navigation Satellite System (GNSS) PWV retrieval is limited because the GNSS stations lack meteorological sensors.
Weifeng Yang, Zhiping Chen, Kaiyun Lv, Pengfei Xia, Tieding Lu   +4 more
doaj   +2 more sources

WTM: The Site-Wise Empirical Wuhan University Tropospheric Model

Remote Sensing, 2022
The tropospheric model is the key model in space geodetic techniques such as Global Navigation Satellite Systems (GNSS) and Very Long Baseline Interferometry (VLBI).
Yaozong Zhou, Yidong Lou, Weixing Zhang, Peida Wu, Jingna Bai, Zhenyi Zhang   +5 more
doaj   +2 more sources