Results 91 to 100 of about 2,466 (175)

Summarizing, Simplifying, and Synthesizing Medical Evidence Using GPT-3 (with Varying Success). [PDF]

Proc Conf Assoc Comput Linguist Meet, 2023
Shaib C, Li ML, Joseph S, Marshall IJ, Li JJ, Wallace BC.   +5 more
europepmc   +1 more source

Sea Change in Software Development: Economic and Productivity Analysis of the AI-Powered Developer Lifecycle

, 2023
This study examines the impact of GitHub Copilot on a large sample of Copilot users (n=934,533). The analysis shows that users on average accept nearly 30% of the suggested code, leading to increased productivity.
Dohmke, Thomas, Iansiti, Marco, Richards, Greg   +2 more
core  

Measuring Pointwise $\mathcal{V}$-Usable Information In-Context-ly

, 2023
In-context learning (ICL) is a new learning paradigm that has gained popularity along with the development of large language models. In this work, we adapt a recently proposed hardness metric, pointwise $\mathcal{V}$-usable information (PVI), to an in ...
Bitterman, Danielle, Chen, Shan, Gurevych, Iryna, Li, Yingya, Lu, Sheng, Savova, Guergana   +5 more
core  

Navigating the Grey Area: How Expressions of Uncertainty and Overconfidence Affect Language Models

, 2023
The increased deployment of LMs for real-world tasks involving knowledge and facts makes it important to understand model epistemology: what LMs think they know, and how their attitudes toward that knowledge are affected by language use in their inputs ...
Hashimoto, Tatsunori, Jurafsky, Dan, Zhou, Kaitlyn   +2 more
core  

A Hybrid Deep Learning Algorithm for Tropospheric Zenith Wet Delay Modeling with the Spatiotemporal Variation Considered

Atmosphere
The tropospheric Zenith Wet Delay (ZWD) is one of the primary sources of error in Global Navigation Satellite Systems (GNSS). Precise ZWD modeling is essential for GNSS positioning and Precipitable Water Vapor (PWV) retrieval.
Yin Wu, Lu Huang, Wei Feng, Su Tian
doaj   +1 more source

New Models of Zenith Tropospheric Delay for Chinese Mainland and Surrounding Areas Based on Convolutional Neural Network and Random Forest

IEEE Access
Accurate models of zenith tropospheric delay (ZTD) is crucial in meteorology as well as in navigation and positioning. In this study, we employ Convolutional Neural Network (CNN) and Random Forest (RF) models to establish six direct or compensation ...
Jiahao Zhang, Qin Liang, Yunqing Huang
doaj   +1 more source

Multilingual Simplification of Medical Texts

, 2023
Automated text simplification aims to produce simple versions of complex texts. This task is especially useful in the medical domain, where the latest medical findings are typically communicated via complex and technical articles.
Joseph, Sebastian, Kazanas, Kathryn, Li, Junyi Jessy, Ramanathan, Vishnesh J., Reina, Keziah, Wallace, Byron C., Xu, Wei   +6 more
core  

Precipitable Water Vapor Retrieval Based on GNSS Data and Its Application in Extreme Rainfall

Remote Sensing
Water vapor plays a crucial role in maintaining global energy balance and water cycle, and it is closely linked to various meteorological disasters. Precipitable water vapor (PWV), as an indicator of variations in atmospheric water vapor content, has ...
Tian Xian, Ke Su, Jushuo Zhang, Huaquan Hu, Haipeng Wang   +4 more
doaj   +1 more source

Utility of learning plans in general practice vocational training: a mixed-methods national study of registrar, supervisor, and educator perspectives [PDF]

, 2016

core   +1 more source

A Statistical Turing Test for Generative Models

, 2023
The emergence of human-like abilities of AI systems for content generation in domains such as text, audio, and vision has prompted the development of classifiers to determine whether content originated from a human or a machine. Implicit in these efforts
Helm, Hayden, Priebe, Carey E., Yang, Weiwei   +2 more
core