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Large-scale language models, like ChatGPT, have garnered significant media attention and stunned the public with their remarkable capacity for generating coherent text from short natural language prompts.
Ctrl: A conditional transformer language model for controllable generation
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Plug and play language models: A simple approach to controlled text generation
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Plug and play language models: A simple approach to controlled text generation
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A computer readability formula designed for machine scoring
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Bleu: a method for automatic evaluation of machine translation
Kishore Papineni, Salim Roukos, Todd Ward, and Wei-Jing Zhu. 2002 · 2002
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ROUGE: A package for automatic evaluation of summaries
Chin-Yew Lin. 2004 · 2004
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Mtld, vocd-d, and hd-d: A validation study of sophisticated approaches to lexical diversity assessment
Philip M McCarthy and Scott Jarvis. 2010 · 2010
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Get to the point: Summarization with pointer-generator networks
Abigail See, Peter J. Liu, and Christopher D. Manning. 2017 · 2017
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Attention is all you need
Ashish Vaswani, Noam Shazeer, Niki Parmar, Jakob Uszkoreit, Llion Jones, Aidan N Gomez, Łukasz Kaiser, and Illia Polosukhin. 2017 · 2017
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Controllable abstractive summarization
Angela Fan, David Grangier, and Michael Auli. 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 Tetreault. 2018 · 2018
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Style transformer: Unpaired text style transfer without disentangled latent representation
Ning Dai, Jianze Liang, Xipeng Qiu, and Xuanjing Huang. 2019 · 2019
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Generating abstractive summaries with finetuned language models
Sebastian Gehrmann, Zachary Ziegler, and Alexander Rush. 2019 · 2019
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Evaluating style transfer for text
Remi Mir, Bjarke Felbo, Nick Obradovich, and Iyad Rahwan. 2019 · 2019
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Expertise style transfer: A new task towards better communication between experts and laymen
Yixin Cao, Ruihao Shui, Liangming Pan, Min-Yen Kan, Zhiyuan Liu, and Tat-Seng Chua. 2020 · 2020
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Contextual text style transfer
Yu Cheng, Zhe Gan, Yizhe Zhang, Oussama Elachqar, Dianqi Li, and Jingjing Liu. 2020 · 2020
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Evaluating factuality in generation with dependency-level entailment
Tanya Goyal and Greg Durrett. 2020 · 2020
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DGST: a dual-generator network for text style transfer
Xiao Li, Guanyi Chen, Chenghua Lin, and Ruizhe Li. 2020 · 2020
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Unsupervised text style transfer with padded masked language models
Eric Malmi, Aliaksei Severyn, and Sascha Rothe. 2020 · 2020
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Interpretable multi-headed attention for abstractive summarization at controllable lengths
Ritesh Sarkhel, Moniba Keymanesh, Arnab Nandi, and Srinivasan Parthasarathy. 2020 · 2020
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Aspect-controllable opinion summarization
Reinald Kim Amplayo, Stefanos Angelidis, and Mirella Lapata. 2021 · 2021
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Controllable summarization with constrained Markov decision process
Hou Pong Chan, Lu Wang, and Irwin King. 2021 · 2021
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Topic-guided abstractive multi-document summarization
Peng Cui and Le Hu. 2021 · 2021
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Learning controllable content generators
Sam Earle, Maria Edwards, Ahmed Khalifa, Philip Bontrager, and Julian Togelius. 2021 · 2021
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Finding Factual Inconsistencies in Abstractive Summaries
T. Fischer, C. Biemann, Informatik und Naturwissenschaften Universität Hamburg Fakultät für Mathematik, and Universität Hamburg Fachbereich Informatik. 2021 · 2021
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Syntax matters! syntax-controlled in text style transfer
Zhiqiang Hu, Roy Ka-Wei Lee, and Charu C. Aggarwal. 2021 · 2021
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A causal lens for controllable text generation
Zhiting Hu and Li Erran Li. 2021 · 2021
Passing parser uncertainty to the transformer: Labeled dependency distributions for neural machine translation
Dongqi Pu and Khalil Sima’an. 2022 · 2022
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So different yet so alike! constrained unsupervised text style transfer
Abhinav Ramesh Kashyap, Devamanyu Hazarika, Min-Yen Kan, Roger Zimmermann, and Soujanya Poria. 2022 · 2022
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A recipe for arbitrary text style transfer with large language models
Emily Reif, Daphne Ippolito, Ann Yuan, Andy Coenen, Chris Callison-Burch, and Jason Wei. 2022 · 2022
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SentBS: Sentence-level beam search for controllable summarization
Chenhui Shen, Liying Cheng, Lidong Bing, Yang You, and Luo Si. 2022a · 2022
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MReD: A meta-review dataset for structure-controllable text generation
Chenhui Shen, Liying Cheng, Ran Zhou, Lidong Bing, Yang You, and Luo Si. 2022b · 2022
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Controllable abstractive dialogue summarization with sketch supervision
Chien-Sheng Wu, Linqing Liu, Wenhao Liu, Pontus Stenetorp, and Caiming Xiong. 2021 · 2021
Cited alongside, same era.
Multimodal text style transfer for outdoor vision-and-language navigation
Wanrong Zhu, Xin Wang, Tsu-Jui Fu, An Yan, Pradyumna Narayana, Kazoo Sone, Sugato Basu, and William Yang Wang. 2021 · 2021
Cited alongside, same era.
Generating scientific definitions with controllable complexity
Tal August, Katharina Reinecke, and Noah A. Smith. 2022 · 2022
Cited alongside, same era.
A large-scale computational study of content preservation measures for text style transfer and paraphrase generation
Nikolay Babakov, David Dale, Varvara Logacheva, and Alexander Panchenko. 2022 · 2022
Cited alongside, same era.
Hallucinated but factual! inspecting the factuality of hallucinations in abstractive summarization
Meng Cao, Yue Dong, and Jackie Cheung. 2022 · 2022
Cited alongside, same era.
Fine-grained controllable text generation using non-residual prompting
Fredrik Carlsson, Joey Öhman, Fangyu Liu, Severine Verlinden, Joakim Nivre, and Magnus Sahlgren. 2022 · 2022
Cited alongside, same era.
Text style transfer for bias mitigation using masked language modeling
Ewoenam Kwaku Tokpo and Toon Calders. 2022 · 2022
Later among the works it cites.
Tailor: A prompt-based approach to attribute-based controlled text generation
Kexin Yang, Dayiheng Liu, Wenqiang Lei, Baosong Yang, Mingfeng Xue, Boxing Chen, and Jun Xie. 2022 · 2022
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DisCup: Discriminator cooperative unlikelihood prompt-tuning for controllable text generation
Hanqing Zhang and Dawei Song. 2022 · 2022
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A survey of controllable text generation using transformer-based pre-trained language models
Hanqing Zhang, Haolin Song, Shaoyu Li, Ming Zhou, and Dawei Song. 2022 · 2022
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Education in the era of generative artificial intelligence (ai): Understanding the potential benefits of chatgpt in promoting teaching and learning
David Baidoo-Anu and Leticia Owusu Ansah. 2023 · 2023
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Chataug: Leveraging chatgpt for text data augmentation
Haixing Dai, Zhengliang Liu, Wenxiong Liao, Xiaoke Huang, Zihao Wu, Lin Zhao, Wei Liu, Ninghao Liu, Sheng Li, Dajiang Zhu, et al. 2023 · 2023
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How does chatgpt perform on the united states medical licensing examination? the implications of large language models for medical education and knowledge assessment
Aidan Gilson, Conrad W Safranek, Thomas Huang, Vimig Socrates, Ling Chi, Richard Andrew Taylor, David Chartash, et al. 2023 · 2023
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Is chatgpt a good translator? a preliminary study
Wenxiang Jiao, Wenxuan Wang, Jen-tse Huang, Xing Wang, and Zhaopeng Tu. 2023 · 2023
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Viet Dac Lai, Nghia Trung Ngo, Amir Pouran Ben Veyseh, Hieu Man, Franck Dernoncourt, Trung Bui, and Thien Huu Nguyen. 2023 · 2023
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OpenAI. 2023 · 2023
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Towards making the most of chatgpt for machine translation
Keqin Peng, Liang Ding, Qihuang Zhong, Li Shen, Xuebo Liu, Min Zhang, Yuanxin Ouyang, and Dacheng Tao. 2023 · 2023
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Incorporating distributions of discourse structure for long document abstractive summarization
Dongqi Pu, Yifan Wang, and Vera Demberg. 2023 · 2023
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Is chatgpt a general-purpose natural language processing task solver?
Chengwei Qin, Aston Zhang, Zhuosheng Zhang, Jiaao Chen, Michihiro Yasunaga, and Diyi Yang. 2023 · 2023
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Chatgpt: Bullshit spewer or the end of traditional assessments in higher education?
Jürgen Rudolph, Samson Tan, and Shannon Tan. 2023 · 2023
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Hugginggpt: Solving ai tasks with chatgpt and its friends in huggingface
Yongliang Shen, Kaitao Song, Xu Tan, Dongsheng Li, Weiming Lu, and Yueting Zhuang. 2023 · 2023
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An analysis of the automatic bug fixing performance of chatgpt
Dominik Sobania, Martin Briesch, Carol Hanna, and Justyna Petke. 2023 · 2023
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Ai and the fci: Can chatgpt project an understanding of introductory physics?
Colin G West. 2023 · 2023
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A comprehensive survey on pretrained foundation models: A history from bert to chatgpt
Ce Zhou, Qian Li, Chen Li, Jun Yu, Yixin Liu, Guangjing Wang, Kai Zhang, Cheng Ji, Qiben Yan, Lifang He, et al. 2023 · 2023
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