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We propose a general and efficient framework to control auto-regressive generation models with NeurAlly-Decomposed Oracle (NADO).
CTRL: A conditional transformer language model for controllable generation
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Lexically constrained neural machine translation with levenshtein transformer
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Pointer: Constrained text generation via insertion-based generative pre-training
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Improved speech-to-text translation with the fisher and callhome spanish-english speech translation corpus
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Chinese poetry generation with recurrent neural networks
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Neural machine translation by jointly learning to align and translate
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Effective approaches to attention-based neural machine translation
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Neural responding machine for short-text conversation
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Oriol Vinyals and Quoc Le. 2015 · 2015
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Guided open vocabulary image captioning with constrained beam search
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Findings of the 2017 conference on machine translation (wmt17)
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Lexically constrained decoding for sequence generation using grid beam search
Chris Hokamp and Qun Liu. 2017 · 2017
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Bottom-up and top-down attention for image captioning and visual question answering
Peter Anderson, Xiaodong He, Chris Buehler, Damien Teney, Mark Johnson, Stephen Gould, and Lei Zhang. 2018 · 2018
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Towards coherent and cohesive long-form text generation
Woon Sang Cho, Pengchuan Zhang, Yizhe Zhang, Xiujun Li, Michel Galley, Chris Brockett, Mengdi Wang, and Jianfeng Gao. 2018 · 2018
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Long text generation via adversarial training with leaked information
Jiaxian Guo, Sidi Lu, Han Cai, Weinan Zhang, Yong Yu, and Jun Wang. 2018 · 2018
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Marian: Fast neural machine translation in C++
Marcin Junczys-Dowmunt, Roman Grundkiewicz, Tomasz Dwojak, Hieu Hoang, Kenneth Heafield, Tom Neckermann, Frank Seide, Ulrich Germann, Alham Fikri Aji, Nikolay Bogoychev, André F. T. Martins, and Alexandra Birch. 2018 · 2018
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Neural text generation: Past, present and beyond
Sidi Lu, Yaoming Zhu, Weinan Zhang, Jun Wang, and Yong Yu. 2018 · 2018
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Towards controllable story generation
Nanyun Peng, Marjan Ghazvininejad, Jonathan May, and Kevin Knight. 2018 · 2018
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Fast lexically constrained decoding with dynamic beam allocation for neural machine translation
Matt Post and David Vilar. 2018 · 2018
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Dear sir or madam, may I introduce the GYAFC dataset: Corpus, benchmarks and metrics for formality style transfer
Sudha Rao and Joel R. Tetreault. 2018 · 2018
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Levenshtein transformer
Jiatao Gu, Changhan Wang, and Junbo Zhao. 2019 · 2019
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Language models are unsupervised multitask learners
Harms of gender exclusivity and challenges in non-binary representation in language technologies
Sunipa Dev, Masoud Monajatipoor, Anaelia Ovalle, Arjun Subramonian, Jeff Phillips, and Kai-Wei Chang. 2021 · 2021
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Bold: Dataset and metrics for measuring biases in open-ended language generation
Jwala Dhamala, Tony Sun, Varun Kumar, Satyapriya Krishna, Yada Pruksachatkun, Kai-Wei Chang, and Rahul Gupta. 2021 · 2021
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A distributional approach to controlled text generation
Muhammad Khalifa, Hady Elsahar, and Marc Dymetman. 2021 · 2021
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Gedi: Generative discriminator guided sequence generation
Ben Krause, Akhilesh Deepak Gotmare, Bryan McCann, Nitish Shirish Keskar, Shafiq R. Joty, Richard Socher, and Nazneen Fatema Rajani. 2021 · 2021
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The power of scale for parameter-efficient prompt tuning
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alphaXiv searches the wider corpus for related work and actual follow-ups.
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Alec Radford, Jeffrey Wu, Rewon Child, David Luan, Dario Amodei, Ilya Sutskever, et al. 2019 · 2019
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Fluent translations from disfluent speech in end-to-end speech translation
Elizabeth Salesky, Matthias Sperber, and Alexander Waibel. 2019 · 2019
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The woman worked as a babysitter: On biases in language generation
Emily Sheng, Kai-Wei Chang, Premkumar Natarajan, and Nanyun Peng. 2019 · 2019
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Plan-and-write: Towards better automatic storytelling
Lili Yao, Nanyun Peng, Ralph Weischedel, Kevin Knight, Dongyan Zhao, and Rui Yan. 2019 · 2019
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Defending against neural fake news
Rowan Zellers, Ari Holtzman, Hannah Rashkin, Yonatan Bisk, Ali Farhadi, Franziska Roesner, and Yejin Choi. 2019 · 2019
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Language models are few-shot learners
Tom B. Brown, Benjamin Mann, Nick Ryder, Melanie Subbiah, Jared Kaplan, Prafulla Dhariwal, Arvind Neelakantan, Pranav Shyam, Girish Sastry, Amanda Askell, Sandhini Agarwal, Ariel Herbert-Voss, Gretchen Krueger, Tom Henighan, Rewon Child, Aditya Ramesh, Daniel M. Ziegler, Jeffrey Wu, Clemens Winter, Christopher Hesse, Mark Chen, Eric Sigler, Mateusz Litwin, Scott Gray, Benjamin Chess, Jack Clark, Christopher Berner, Sam McCandlish, Alec Radford, Ilya Sutskever, and Dario Amodei. 2020 · 2020
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Plug and play language models: A simple approach to controlled text generation
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Prefix-tuning: Optimizing continuous prompts for generation
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Plug-and-blend: A framework for plug-and-play controllable story generation with sketches
Zhiyu Lin and Mark O. Riedl. 2021 · 2021
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Dexperts: Decoding-time controlled text generation with experts and anti-experts
Alisa Liu, Maarten Sap, Ximing Lu, Swabha Swayamdipta, Chandra Bhagavatula, Noah A. Smith, and Yejin Choi. 2021 · 2021
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Neurologic decoding: (un)supervised neural text generation with predicate logic constraints
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Societal biases in language generation: Progress and challenges
Emily Sheng, Kai-Wei Chang, Prem Natarajan, and Nanyun Peng. 2021 · 2021
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FUDGE: controlled text generation with future discriminators
Kevin Yang and Dan Klein. 2021 · 2021
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Character-centric story visualization via visual planning and token alignment
Hong Chen, Rujun Han, Te-Lin Wu, Hideki Nakayama, and Nanyun Peng. 2022 · 2022
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Controlling conditional language models without catastrophic forgetting
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Sequentially controlled text generation
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Zero-shot sonnet generation with discourse-level planning and aesthetics features
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A survey of controllable text generation using transformer-based pre-trained language models
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Posterior regularization for structured latent variable models
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