Keyword

text generation

Description: The production of written language, often by computational models, for natural-language processing and artificial intelligence applications.

Primary topic: Topic Modeling (25%)

Wikidata ID: wiki/Q1513879

OpenAlex ID: keywords/text-generation

Language Models are Few-Shot Learners

2020 · Brown, Tom B., Mann, Benjamin, et al. · arXiv (Cornell University) · 16,451

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BERTScore: Evaluating Text Generation with BERT

2019 · Zhang, Tianyi, Kishore, Varsha, et al. · arXiv (Cornell University) · 2,865

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Prefix-Tuning: Optimizing Continuous Prompts for Generation

2021 · Xiang Lisa Li, Percy Liang · 2,454

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English Text: System and structure

1992 · James R. Martin · 1,955

English Text

1992 · J.R. Martin · John Benjamins Publishing Company eBooks · 1,454

Recent Advances in Natural Language Processing via Large Pre-trained Language Models: A Survey

2023 · Bonan Min, Hayley Ross, et al. · ACM Computing Surveys · 1,375

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The Curious Case of Neural Text Degeneration

2019 · Holtzman, Ari, Buys, Jan, et al. · arXiv (Cornell University) · 1,304

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Topic modeling

2006 · Hanna M. Wallach · International Conference on Machine Learning · 1,059

Sequence Level Training with Recurrent Neural Networks

2015 · Ranzato, Marc'Aurelio, Chopra, Sumit, et al. · arXiv (Cornell University) · 937

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Toward Controlled Generation of Text

2017 · Hu, Zhiting, Yang, Zichao, et al. · arXiv (Cornell University) · 802

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Word concepts: A theory and simulation of some basic semantic capabilities

1967 · M. Ross Quillian · Systems Research and Behavioral Science · 778

Building Natural Language Generation Systems

2000 · Ehud Reiter, Robert Dale · Cambridge University Press eBooks · 772

Deep Reinforcement Learning: An Overview

2017 · Li, Yuxi · arXiv (Cornell University) · 762

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ChatGPT and Open-AI Models: A Preliminary Review

2023 · Konstantinos I. Roumeliotis, Nikolaos D. Tselikas · Future Internet · 708

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A Survey of Data Augmentation Approaches for NLP

2021 · Steven Feng, Varun Gangal, et al. · 707

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Impact of ChatGPT on learners in a L2 writing practicum: An exploratory investigation

2023 · Da Yan · Education and Information Technologies · 706

Harnessing the Power of LLMs in Practice: A Survey on ChatGPT and Beyond

2024 · Jingfeng Yang, Hongye Jin, et al. · ACM Transactions on Knowledge Discovery from Data · 643

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Generative artificial intelligence

2023 · Leonardo Banh, Gero Strobel · Electronic Markets · 589

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Sequence Level Training with Recurrent Neural Networks

2016 · Marc’Aurelio Ranzato, Sumit Chopra, et al. · International Conference on Learning Representations · 572

Can Large Language Models Transform Computational Social Science?

2023 · Caleb Ziems, William Held, et al. · Computational Linguistics · 566

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The emergent role of artificial intelligence, natural learning processing, and large language models in higher education and research

2023 · Tariq Alqahtani, Hisham A. Badreldin, et al. · Research in Social and Administrative Pharmacy · 559

A Survey on Generative Diffusion Models

2024 · Hanqun Cao, Cheng Tan, et al. · IEEE Transactions on Knowledge and Data Engineering · 546

The structure of discourse and ‘subordination’

1988 · Christian M.I.M. Matthiessen, Sandra A. Thompson · Typological studies in language · 526

A high-performance neuroprosthesis for speech decoding and avatar control

2023 · Sean L. Metzger, Kaylo T. Littlejohn, et al. · Nature · 516

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Delete, Retrieve, Generate: a Simple Approach to Sentiment and Style Transfer

2018 · Juncen Li, Robin Jia, et al. · Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (NAACL-HLT) · 476

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Works count: 10,980

Citation count: 102,100