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Building high-quality datasets for specialized tasks is a time-consuming and resource-intensive process that often requires specialized domain knowledge.
Language models are few-shot learners
Tom Brown, Benjamin Mann, Nick Ryder, Melanie Subbiah, Jared D Kaplan, Prafulla Dhariwal, Arvind Neelakantan, Pranav Shyam, Girish Sastry, Amanda Askell, et al. 2020 · 1901
Earlier work this paper cites.
Noise suppression for improved few-shot learning
Zhikui Chen, Tiandong Ji, Suhua Zhang, and Fangming Zhong. 2022 · 1904
Earlier work this paper cites.
Few-shot parameter-efficient fine-tuning is better and cheaper than in-context learning
Haokun Liu, Derek Tam, Mohammed Muqeeth, Jay Mohta, Tenghao Huang, Mohit Bansal, and Colin A Raffel. 2022 · 1965
Earlier work this paper cites.
Linear models, random censoring and synthetic data
Leurgans Sue. 1987 · 1987
Earlier work this paper cites.
Statistical analysis of masked data
Roderick JA Little et al. 1993 · 1993
Earlier work this paper cites.
Building a large annotated corpus of English: The Penn Treebank
Mitchell P. Marcus, Beatrice Santorini, and Mary Ann Marcinkiewicz. 1993 · 1993
Earlier work this paper cites.
Gzip file format specification version 4.3
Peter Deutsch. 1996 · 1996
Earlier work this paper cites.
ROUGE: A package for automatic evaluation of summaries
Chin-Yew Lin. 2004 · 2004
Earlier work this paper cites.
METEOR: An automatic metric for MT evaluation with improved correlation with human judgments
Satanjeev Banerjee and Alon Lavie. 2005 · 2005
Earlier work this paper cites.
Evaluation of text generation: A survey
Asli Celikyilmaz, Elizabeth Clark, and Jianfeng Gao. 2020 · 2006
Earlier work this paper cites.
How much noise is too much: A study in automatic text classification
Sumeet Agarwal, Shantanu Godbole, Diwakar Punjani, and Shourya Roy. 2007 · 2007
Earlier work this paper cites.
Zero-data learning of new tasks
Hugo Larochelle, Dumitru Erhan, and Yoshua Bengio. 2008 · 2008
Earlier work this paper cites.
Learning word vectors for sentiment analysis
Andrew L. Maas, Raymond E. Daly, Peter T. Pham, Dan Huang, Andrew Y. Ng, and Christopher Potts. 2011 · 2011
Earlier work this paper cites.
Generating text with recurrent neural networks
Ilya Sutskever, James Martens, and Geoffrey E Hinton. 2011 · 2011
Earlier work this paper cites.
Wikiextractor
Giuseppe Attardi. 2015 · 2015
Earlier work this paper cites.
Re-evaluating automatic summarization with BLEU and 192 shades of ROUGE
Yvette Graham. 2015 · 2015
Earlier work this paper cites.
Synthetic text generation for sentiment analysis
Umar Maqsud. 2015 · 2015
Earlier work this paper cites.
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Martín Abadi, Ashish Agarwal, Paul Barham, Eugene Brevdo, Zhifeng Chen, Craig Citro, Greg S. Corrado, Andy Davis, Jeffrey Dean, Matthieu Devin, Sanjay Ghemawat, Ian Goodfellow, Andrew Harp, Geoffrey Irving, Michael Isard, Yangqing Jia, Rafal Jozefowicz, Lukasz Kaiser, Manjunath Kudlur, Josh Levenberg, Dan Mane, Rajat Monga, Sherry Moore, Derek Murray, Chris Olah, Mike Schuster, Jonathon Shlens, Benoit Steiner, Ilya Sutskever, Kunal Talwar, Paul Tucker, Vincent Vanhoucke, Vijay Vasudevan, Fernanda Viegas, Oriol Vinyals, Pete Warden, Martin Wattenberg, Martin Wicke, Yuan Yu, and Xiaoqiang Zheng. 2016 · 2016
Earlier work this paper cites.
Behavioral Biology: Proximate and Ultimate Causes of Behavior
Connie Rye, Robert Wise, Vladimir Jurukovski, Jean DeSaix, Jung Choi, and Yael Avissar. 2016 · 2016
Earlier work this paper cites.
Communication Behavior in Animals - Advanced
Douglas Wilkin and Jean Brainard. 2016 · 2016
Earlier work this paper cites.
Molecular Biology of the Cell , 5th edition
Bruce Alberts. 2017 · 2017
Earlier work this paper cites.
Get to the point: Summarization with pointer-generator networks
Abigail See, Peter J. Liu, and Christopher D. Manning. 2017 · 2017
Earlier work this paper cites.
Dynosaur: A dynamic growth paradigm for instruction-tuning data curation
Da Yin, Xiao Liu, Fan Yin, Ming Zhong, Hritik Bansal, Jiawei Han, and Kai-Wei Chang. 2023 · 2017
Earlier work this paper cites.
Hierarchical neural story generation
Angela Fan, Mike Lewis, and Yann Dauphin. 2018 · 2018
Earlier work this paper cites.
Universal language model fine-tuning for text classification
Jeremy Howard and Sebastian Ruder. 2018 · 2018
Earlier work this paper cites.
Wikihow: A large scale text summarization dataset
Mahnaz Koupaee and William Yang Wang. 2018 · 2018
Earlier work this paper cites.
Scalable agent alignment via reward modeling: a research direction
Jan Leike, David Krueger, Tom Everitt, Miljan Martic, Vishal Maini, and Shane Legg. 2018 · 2018
Earlier work this paper cites.
Measuring the intrinsic dimension of objective landscapes
Chunyuan Li, Heerad Farkhoor, Rosanne Liu, and Jason Yosinski. 2018 · 2018
Earlier work this paper cites.
Decoupled weight decay regularization
Ilya Loshchilov and Frank Hutter. 2019 · 2019
Earlier work this paper cites.
PyTorch: an imperative style, high-performance deep learning library
Adam Paszke, Sam Gross, Francisco Massa, Adam Lerer, James Bradbury, Gregory Chanan, Trevor Killeen, Zeming Lin, Natalia Gimelshein, Luca Antiga, Alban Desmaison, Andreas Köpf, Edward Yang, Zach DeVito, Martin Raison, Alykhan Tejani, Sasank Chilamkurthy, Benoit Steiner, Lu Fang, Junjie Bai, and Soumith Chintala. 2019 · 2019
Earlier work this paper cites.
Language models are unsupervised multitask learners
Alec Radford, Jeffrey Wu, Rewon Child, David Luan, Dario Amodei, Ilya Sutskever, et al. 2019 · 2019
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Sentence-BERT: Sentence embeddings using siamese BERT-networks
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Ananya B Sai, Mithun Das Gupta, Mitesh M Khapra, and Mukundhan Srinivasan. 2019 · 2019
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Michał Bień, Michał Gilski, Martyna Maciejewska, Wojciech Taisner, Dawid Wisniewski, and Agnieszka Lawrynowicz. 2020 · 2020
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Corpus wide argument mining—a working solution
Liat Ein-Dor, Eyal Shnarch, Lena Dankin, Alon Halfon, Benjamin Sznajder, Ariel Gera, Carlos Alzate, Martin Gleize, Leshem Choshen, Yufang Hou, et al. 2020 · 2020
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Array programming with NumPy
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A systematic survey of prompt engineering on vision-language foundation models
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A general language assistant as a laboratory for alignment
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Orca 2: Teaching small language models how to reason
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Orca: Progressive learning from complex explanation traces of GPT-4
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