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Progress in natural language generation research has been shaped by the ever-growing size of language models.
Language Models are Few-Shot Learners
Brown, T.; Mann, B.; Ryder, N.; Subbiah, M.; Kaplan, J. D.; Dhariwal, P.; Neelakantan, A.; Shyam, P.; Sastry, G.; Askell, A.; Agarwal, S.; Herbert-Voss, A.; Krueger, G.; Henighan, T.; Child, R.; Ramesh, A.; Ziegler, D.; Wu, J.; Winter, C.; Hesse, C.; Chen, M.; Sigler, E.; Litwin, M.; Gray, S.; Chess, B.; Clark, J.; Berner, C.; McCandlish, S.; Radford, A.; Sutskever, I.; and Amodei, D. 2020 · 1901
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Komatsuzaki, A. 2019 · 1906
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Does Gender Matter? Towards Fairness in Dialogue Systems
Liu, H.; Dacon, J.; Fan, W.; Liu, H.; Liu, Z.; and Tang, J. 2019 · 1910
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RedditBias: A Real-World Resource for Bias Evaluation and Debiasing of Conversational Language Models
Barikeri, S.; Lauscher, A.; Vulić, I.; and Glavaš, G. 2021 · 1955
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VADER: A Parsimonious Rule-Based Model for Sentiment Analysis of Social Media Text
Hutto, C.; and Gilbert, E. 2014 · 2014
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Ethical Challenges in Data-Driven Dialogue Systems
Henderson, P.; Sinha, K.; Angelard-Gontier, N.; Ke, N. R.; Fried, G.; Lowe, R.; and Pineau, J. 2018 · 2018
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How Stereotypes Are Shared Through Language: A Review and Introduction of the Social Categories and Stereotypes Communication (SCSC) Framework
Beukeboom, C. J.; and Burgers, C. 2019 · 2019
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BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding
Devlin, J.; Chang, M.-W.; Lee, K.; and Toutanova, K. 2019 · 2019
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Understanding Conspiracy Theories
Douglas, K. M.; Uscinski, J. E.; Sutton, R. M.; Cichocka, A.; Nefes, T.; Ang, C. S.; and Deravi, F. 2019 · 2019
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Language Models are Unsupervised Multitask Learners
Radford, A.; Wu, J.; Child, R.; Luan, D.; Amodei, D.; Sutskever, I.; and others. 2019 · 2019
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The Risk of Racial Bias in Hate Speech Detection
Sap, M.; Card, D.; Gabriel, S.; Choi, Y.; and Smith, N. A. 2019 · 2019
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The Woman Worked as a Babysitter: On Biases in Language Generation
Sheng, E.; Chang, K.-W.; Natarajan, P.; and Peng, N. 2019 · 2019
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Language (Technology) is Power: A Critical Survey of “Bias” in NLP
Blodgett, S. L.; Barocas, S.; Daumé III, H.; and Wallach, H. 2020 · 2020
Cited alongside, same era.
Me, myself and the other. Interreligious and intrareligious relations in neo-conservative online forums
Elwert, F.; Tabti, S.; and Pfahler, L. 2020 · 2020
Cited alongside, same era.
RealToxicityPrompts: Evaluating Neural Toxic Degeneration in Language Models
Gehman, S.; Gururangan, S.; Sap, M.; Choi, Y.; and Smith, N. A. 2020 · 2020
Cited alongside, same era.
Transformers: State-of-the-Art Natural Language Processing
Wolf, T.; Debut, L.; Sanh, V.; Chaumond, J.; Delangue, C.; Moi, A.; Cistac, P.; Rault, T.; Louf, R.; Funtowicz, M.; Davison, J.; Shleifer, S.; von Platen, P.; Ma, C.; Jernite, Y.; Plu, J.; Xu, C.; Le Scao, T.; Gugger, S.; Drame, M.; Lhoest, Q.; and Rush, A. 2020 · 2020
Cited alongside, same era.
DIALOGPT : Large-Scale Generative Pre-training for Conversational Response Generation
Zhang, Y.; Sun, S.; Galley, M.; Chen, Y.-C.; Brockett, C.; Gao, X.; Gao, J.; Liu, J.; and Dolan, B. 2020 · 2020
Societal Biases in Language Generation: Progress and Challenges
Sheng, E.; Chang, K.-W.; Natarajan, P.; and Peng, N. 2021 · 2021
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Process for adapting language models to society (palms) with values-targeted datasets
Solaiman, I.; and Dennison, C. 2021 · 2021
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GPT-Neo: Large Scale Autoregressive Language Modeling with Mesh-Tensorflow
Black, S.; Leo, G.; Wang, P.; Leahy, C.; and Biderman, S. 2021 · 2022
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Measuring Media Bias via Masked Language Modeling
Guo, X.; Ma, W.; and Vosoughi, S. 2022 · 2022
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Detoxify
Hanu, L.; and Unitary team. 2020 · 2022
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CommunityLM: Probing Partisan Worldviews from Language Models
Jiang, H.; Beeferman, D.; Roy, B.; and Roy, D. 2022 · 2022
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Cited alongside, same era.
Persistent Anti-Muslim Bias in Large Language Models
Abid, A.; Farooqi, M.; and Zou, J. 2021 · 2021
Cited alongside, same era.
A Survey on Echo Chambers on Social Media: Description, Detection and Mitigation
Alatawi, F.; Cheng, L.; Tahir, A.; Karami, M.; Jiang, B.; Black, T.; and Liu, H. 2021 · 2021
Cited alongside, same era.
On the Dangers of Stochastic Parrots: Can Language Models Be Too Big?
Bender, E. M.; Gebru, T.; McMillan-Major, A.; and Shmitchell, S. 2021 · 2021
Cited alongside, same era.
BOLD: Dataset and Metrics for Measuring Biases in Open-Ended Language Generation
Dhamala, J.; Sun, T.; Kumar, V.; Krishna, S.; Pruksachatkun, Y.; Chang, K.-W.; and Gupta, R. 2021 · 2021
Cited alongside, same era.
The Pile: An 800GB Dataset of Diverse Text for Language Modeling
Gao, L.; Biderman, S.; Black, S.; Golding, L.; Hoppe, T.; Foster, C.; Phang, J.; He, H.; Thite, A.; Nabeshima, N.; Presser, S.; and Leahy, C. 2021 · 2021
Cited alongside, same era.
Towards Understanding and Mitigating Social Biases in Language Models
Liang, P. P.; Wu, C.; Morency, L.-P.; and Salakhutdinov, R. 2021 · 2021
Cited alongside, same era.
StereoSet: Measuring stereotypical bias in pretrained language models
Nadeem, M.; Bethke, A.; and Reddy, S. 2021 · 2021
Cited alongside, same era.
The Reddit COVID dataset
Lexyr Inc. 2021a · 2022
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Reddit cryptocurrency data for August 2021
Lexyr Inc. 2021b · 2022
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Reddit /r/NoNewNormal dataset
Lexyr Inc. 2021c · 2022
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Reddit WallStreetBets Posts and Comments
Podolak, M. 2021 · 2022
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Upstream Mitigation Is Not
Steed, R.; Panda, S.; Kobren, A.; and Wick, M. 2022 · 2022
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ChatGPT: Optimizing language models for dialogue
OpenAI. 2022 · 2023
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