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REPLUG: Retrieval-Augmented Black-Box Language Models [PDF]
North American Chapter of the Association for Computational Linguistics, 2023 We introduce REPLUG, a retrieval-augmented language modeling framework that treats the language model (LM) as a black box and augments it with a tuneable retrieval model.
Weijia Shi +7 more
semanticscholar +1 more source
Vid2Seq: Large-Scale Pretraining of a Visual Language Model for Dense Video Captioning [PDF]
Computer Vision and Pattern Recognition, 2023 In this work, we introduce Vid2Seq, a multi-modal single-stage dense event captioning model pretrained on narrated videos which are readily-available at scale.
Antoine Yang +7 more
semanticscholar +1 more source
A Survey of GPT-3 Family Large Language Models Including ChatGPT and GPT-4 [PDF]
Natural Language Processing Journal, 2023 Large language models (LLMs) are a special class of pretrained language models obtained by scaling model size, pretraining corpus and computation. LLMs, because of their large size and pretraining on large volumes of text data, exhibit special abilities ...
Katikapalli Subramanyam Kalyan
semanticscholar +1 more source
Innoeduca. International Journal of Technology and Educational Innovation, 2023 This mixed-methods study explored the attitudes of 199 English as a Foreign Language (EFL) special education teachers towards using ChatGPT for language learning.
M. A. K. Alenezi +2 more
semanticscholar +1 more source
Language and Emotion: Introduction to the Special Issue
Affective Science, 2021 What is the relationship between language and emotion? The work that fills the pages of this special issue draws from interdisciplinary domains to weigh in on the relationship between language and emotion in semantics, cross-linguistic experience ...
Kristen A. Lindquist
semanticscholar +1 more source
Pre-Trained Language Models for Text Generation: A Survey [PDF]
ACM Computing Surveys, 2022 Text Generation aims to produce plausible and readable text in human language from input data. The resurgence of deep learning has greatly advanced this field, in particular, with the help of neural generation models based on pre-trained language models (
Junyi Li +4 more
semanticscholar +1 more source
Grit in Second Language Learning and Teaching: Introduction to the Special Issue
Journal for the psychology of language learning, 2021 This brief, introductory paper contextualizes the special issue in relevant literatures in psychology, education, and SLA. In addition to describing the rationale for the special issue and providing a preview of the papers included, we identify the major
P. MacIntyre, Gholam Hassan Khajavy
semanticscholar +1 more source
Prompt2Model: Generating Deployable Models from Natural Language Instructions [PDF]
Conference on Empirical Methods in Natural Language Processing, 2023 Large language models (LLMs) enable system builders today to create competent NLP systems through prompting, where they only need to describe the task in natural language and provide a few examples.
Vijay Viswanathan +4 more
semanticscholar +1 more source
Latinate terminology in Modern Greek: An “intruder” or an “asset”?
Open Linguistics, 2023 This article discusses Latinate Modern Greek (MG) terminology in the light of language planning, language contact, transliteration, registers, and speakers’ attitudes.
Krimpas Panagiotis G.
doaj +1 more source
Children, 2023 The aim of this research was to characterize cognitive abilities in patients with Glut1-Deficiency syndrome (Glut1DS) following ketogenic diet therapy (KDT).
Martina Barthold +7 more
doaj +1 more source