Results 81 to 90 of about 2,466 (175)

Can ChatGPT Detect Intent? Evaluating Large Language Models for Spoken Language Understanding

, 2023
Recently, large pretrained language models have demonstrated strong language understanding capabilities. This is particularly reflected in their zero-shot and in-context learning abilities on downstream tasks through prompting.
Garner, Philip N., He, Mutian
core  

Empirical tropospheric zenith wet delay models with strong generalization capability based on a robust machine learning fusion algorithm

Geodesy and Geodynamics
Tropospheric zenith wet delay (ZWD) plays a vital role in the analysis of space geodetic observations. In recent years, machine learning methods have been increasingly applied to improve the accuracy of ZWD calculations.
Jiahao Zhang, Qin Liang, Yunqing Huang
doaj   +1 more source

Large Language Models Still Can't Plan (A Benchmark for LLMs on Planning and Reasoning about Change)

, 2023
Recent advances in large language models (LLMs) have transformed the field of natural language processing (NLP). From GPT-3 to PaLM, the state-of-the-art performance on natural language tasks is being pushed forward with every new large language model ...
Kambhampati, Subbarao, Olmo, Alberto, Sreedharan, Sarath, Valmeekam, Karthik   +3 more
core  

A New Grid Zenith Tropospheric Delay Model Considering Time-Varying Vertical Adjustment and Diurnal Variation over China

Remote Sensing
Improving the accuracy of zenith tropospheric delay (ZTD) models is an important task. However, the existing ZTD models still have limitations, such as a lack of appropriate vertical adjustment function and being unsuitable for China, which has a complex
Jihong Zhang, Xiaoqing Zuo, Shipeng Guo, Shaofeng Xie, Xu Yang, Yongning Li, Xuefu Yue   +6 more
doaj   +1 more source

Self-Edit: Fault-Aware Code Editor for Code Generation

, 2023
Large language models (LLMs) have demonstrated an impressive ability to generate codes on competitive programming tasks. However, with limited sample numbers, LLMs still suffer from poor accuracy.
Jin, Zhi, Li, Ge, Li, Jia, Li, Zhuo, Zhang, Kechi   +4 more
core  

Opinerium: Subjective Question Generation Using Large Language Models

IEEE Access
This paper presents a comprehensive study on generating subjective inquiries for news media posts to empower public engagement with trending media topics.
Pedram Babakhani, Andreas Lommatzsch, Torben Brodt, Doreen Sacker, Fikret Sivrikaya, Sahin Albayrak   +5 more
doaj   +1 more source

Benchmarks for Pir\'a 2.0, a Reading Comprehension Dataset about the Ocean, the Brazilian Coast, and Climate Change

, 2023
Pir\'a is a reading comprehension dataset focused on the ocean, the Brazilian coast, and climate change, built from a collection of scientific abstracts and reports on these topics.
Brandão, Anarosa A. F., Costa, Anna H. R., Cozman, Fabio G., José, Marcos M., Nakasato, Flávio, Peres, Sarajane M., Pirozelli, Paulo, Silveira, Igor   +7 more
core  

A Refined Spatiotemporal ZTD Model of the Chinese Region Based on ERA and GNSS Data

Remote Sensing
Empirical tropospheric models can improve the performance of GNSS precise point positioning (PPP) by providing a priori zenith tropospheric delay (ZTD) information.
Yongzhao Fan, Fengyu Xia, Zhimin Sha, Nana Jiang   +3 more
doaj   +1 more source

Large Language Models are Zero-Shot Reasoners

, 2022
Pretrained large language models (LLMs) are widely used in many sub-fields of natural language processing (NLP) and generally known as excellent few-shot learners with task-specific exemplars. Notably, chain of thought (CoT) prompting, a recent technique
Gu, Shixiang Shane, Iwasawa, Yusuke, Kojima, Takeshi, Matsuo, Yutaka, Reid, Machel   +4 more
core  

A Zenith Tropospheric Delay Modeling Method Based on the UNB3m Model and Kriging Spatial Interpolation

Atmosphere
To accurately estimate Zenith Tropospheric Delay (ZTD) for high-precision positioning of the Global Navigation Satellite System (GNSS), this study proposes a modeling method of ZTD based on the UNB3m model and Kriging spatial interpolation, in which the ...
Huineng Yan, Zhigang Lu, Fang Li, Yu Li, Fuping Li, Rui Wang   +5 more
doaj   +1 more source