Results 101 to 110 of about 2,779 (194)
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
Precipitable Water Vapor Retrieval Based on GNSS Data and Its Application in Extreme Rainfall
Remote SensingWater 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 +4 more
doaj +1 more source
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 +5 more
core
Italian Crossword Generator: An In-depth Linguistic Analysis in Educational Word Puzzles
IJCoLEducational crosswords offer numerous benefits for students, including increased engagement, improved understanding, critical thinking, and memory retention.
Kamyar Zeinalipour +6 more
doaj
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 +4 more
core
Summarizing, Simplifying, and Synthesizing Medical Evidence Using GPT-3 (with Varying Success). [PDF]
Proc Conf Assoc Comput Linguist Meet, 2023 Shaib C +5 more
europepmc +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 +6 more
core
Journal of Geodesy and GeoinformationThe Zenith Total Delay (ZTD) must be determined for applications requiring high accuracy, such as Global Navigation Satellite Systems (GNSS), geodesy and cartography, weather forecasting, and astronomical observations, as it is a significant factor affecting the accuracy of electromagnetic signals.
Akar, Ali Utku, İnal, Cevat
openaire +2 more sources
Analisis Performa Ekstraksi Konten GPT-3 Dengan Matrik Bertscore Dan Rouge
Jurnal Teknologi Informasi dan Ilmu KomputerIntegrasi model bahasa canggih dalam tugas-tugas pembangkitan teks telah menampilkan beberapa aplikasi yang luas di berbagai bidang, termasuk ekstraksi konten.
Yetti Yuniati +5 more
doaj +3 more sources
Faith and Fate: Limits of Transformers on Compositionality
, 2023 Transformer large language models (LLMs) have sparked admiration for their exceptional performance on tasks that demand intricate multi-step reasoning. Yet, these models simultaneously show failures on surprisingly trivial problems.
Bhagavatula, Chandra +15 more
core