Results 21 to 30 of about 23,670,881 (172)

The student becomes the master: Outperforming GPT3 on Scientific Factual Error Correction [PDF]

open access: yesConference on Empirical Methods in Natural Language Processing, 2023
Due to the prohibitively high cost of creating error correction datasets, most Factual Claim Correction methods rely on a powerful verification model to guide the correction process.
Dhananjay Ashok   +3 more
semanticscholar   +1 more source

EYE-Llama, an in-domain large language model for ophthalmology. [PDF]

open access: yesiScience
Background Training Large Language Models (LLMs) with in-domain data can significantly enhance their performance, leading to more accurate and reliable question-answering (Q&A) systems essential for supporting clinical decision-making and educating ...
Haghighi T   +8 more
europepmc   +2 more sources

Comparative analysis of blind tropospheric correction models in Ghana

open access: yesJournal of Geodetic Science, 2021
The impact of the earth’s atmospheric layers, particularly the troposphere on Global Navigation satellite system (GNSS) signals has become a major concern in GNSS accurate positioning, navigation, surveillance and timing applications.
Osah S.   +3 more
doaj   +1 more source

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

open access: yesRemote 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   +7 more
doaj   +1 more source

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

open access: yesAtmosphere, 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   +8 more
doaj   +1 more source

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

open access: yesRemote 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   +6 more
doaj   +1 more source

A new zenith hydrostatic delay model for real-time retrievals of GNSS-PWV [PDF]

open access: yesAtmospheric Measurement Techniques, 2021
The quality of the zenith hydrostatic delay (ZHD) could significantly affect the accuracy of the zenith wet delay (ZWD) of the Global Navigation Satellite System (GNSS) signal, and from the ZWD precipitable water vapor (PWV) can be obtained.
L. Li   +17 more
doaj   +1 more source

CS/NLP at SemEval-2022 Task 4: Effective Data Augmentation Methods for Patronizing Language Detection and Multi-label Classification with RoBERTa and GPT3

open access: yesInternational Workshop on Semantic Evaluation, 2022
This paper presents a combination of data augmentation methods to boost the performance of state-of-the-art transformer-based language models for Patronizing and Condescending Language (PCL) detection and multi-label PCL classification tasks. These tasks
Daniel Saeedi   +3 more
semanticscholar   +1 more source

A precipitation forecast model applied with the RBF based on the improved GPT3 model in Japan

open access: yes, 2023
Abstract Accurate monitoring of atmospheric water vapor content is essential for the early warning of extreme weather events. As known, GNSS zenith troposphere delay (GNSS_ZTD) is an indispensable data source for retrieving precipitable water vapor (PWV).
li song   +7 more
openaire   +1 more source

Development of a New Tabular Zenith Tropospheric Delay Model for Real-Time GNSS Applications

open access: yesIEEE Access, 2021
The tropospheric delay is a major error source for Global Navigation Satellite System (GNSS) positioning and navigation, and usually can be corrected by using an empirical model.
Jian Mao, Junyang Han, Tiejun Cui
doaj   +1 more source

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