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The widespread adoption of large language models such as ChatGPT and Bard has led to unprecedented demand for these technologies.
DistilBERT, a distilled version of bert: smaller, faster, cheaper and lighter
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Introduction to the conll-2003 shared task: Language-independent named entity recognition
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ETC: encoding long and structured data in transformers
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Longformer: The long-document transformer
Iz Beltagy, Matthew E Peters, and Arman Cohan. 2020 · 2004
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Multiplexing using synchrony in the zebrafish olfactory bulb
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Neuronal filtering of multiplexed odour representations
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The winograd schema challenge
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Recursive deep models for semantic compositionality over a sentiment treebank
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Oscillatory multiplexing of population codes for selective communication in the mammalian brain
Thomas Akam and Dimitri M Kullmann. 2014 · 2014
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Distilling the knowledge in a neural network
Geoffrey E. Hinton, Oriol Vinyals, and Jeffrey Dean. 2015 · 2015
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Aligning books and movies: Towards story-like visual explanations by watching movies and reading books
Yukun Zhu, Ryan Kiros, Rich Zemel, Ruslan Salakhutdinov, Raquel Urtasun, Antonio Torralba, and Sanja Fidler. 2015 · 2015
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Multiplexed coding by cerebellar purkinje neurons
Sungho Hong, Mario Negrello, Marc Junker, Aleksandra Smilgin, Peter Thier, and Erik De Schutter. 2016 · 2016
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Pointer sentinel mixture models
Stephen Merity, Caiming Xiong, James Bradbury, and Richard Socher. 2016 · 2016
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Multiplexed population coding of stimulus properties by leech mechanosensory cells
Friederice Pirschel and Jutta Kretzberg. 2016 · 2016
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Semeval-2017 task 1: Semantic textual similarity multilingual and crosslingual focused evaluation
Daniel Cer, Mona Diab, Eneko Agirre, Iñigo Lopez-Gazpio, and Lucia Specia. 2017 · 2017
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Attention is all you need
Ashish Vaswani, Noam M. Shazeer, Niki Parmar, Jakob Uszkoreit, Llion Jones, Aidan N. Gomez, Lukasz Kaiser, and Illia Polosukhin. 2017 · 2017
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The lottery ticket hypothesis: Finding sparse, trainable neural networks
Jonathan Frankle and Michael Carbin. 2018 · 2018
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Improving language understanding by generative pre-training
Alec Radford and Karthik Narasimhan. 2018 · 2018
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Glue: A multi-task benchmark and analysis platform for natural language understanding
Alex Wang, Amanpreet Singh, Julian Michael, Felix Hill, Omer Levy, and Samuel R Bowman. 2018 · 2018
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A broad-coverage challenge corpus for sentence understanding through inference
Adina Williams, Nikita Nangia, and Samuel R Bowman. 2018 · 2018
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mixup: Beyond empirical risk minimization
Hongyi Zhang, Moustapha Cisse, Yann N Dauphin, and David Lopez-Paz. 2018 · 2018
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BERT: Pre-training of deep bidirectional transformers for language understanding
Jacob Devlin, Ming-Wei Chang, Kenton Lee, and Kristina Toutanova. 2019 · 2019
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Rethinking the value of network pruning
Movement pruning: Adaptive sparsity by fine-tuning
Victor Sanh, Thomas Wolf, and Alexander Rush. 2020 · 2020
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Q-bert: Hessian based ultra low precision quantization of bert
Sheng Shen, Zhen Dong, Jiayu Ye, Linjian Ma, Zhewei Yao, Amir Gholami, Michael W. Mahoney, and Kurt Keutzer. 2020 · 2020
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MobileBERT: a compact task-agnostic bert for resource-limited devices
Zhiqing Sun, Hongkun Yu, Xiaodan Song, Renjie Liu, Yiming Yang, and Denny Zhou. 2020 · 2020
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Structured pruning of large language models
Ziheng Wang, Jeremy Wohlwend, and Tao Lei. 2020 · 2020
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Big bird: Transformers for longer sequences
Manzil Zaheer, Guru Guruganesh, Kumar Avinava Dubey, Joshua Ainslie, Chris Alberti, Santiago Ontanon, Philip Pham, Anirudh Ravula, Qifan Wang, Li Yang, et al. 2020 · 2020
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Coordinate constructions in english enhanced universal dependencies: Analysis and computational modeling
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Zhuang Liu, Mingjie Sun, Tinghui Zhou, Gao Huang, and Trevor Darrell. 2019 · 2019
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Are sixteen heads really better than one?
Paul Michel, Omer Levy, and Graham Neubig. 2019 · 2019
Cited alongside, same era.
Analyzing multi-head self-attention: Specialized heads do the heavy lifting, the rest can be pruned
Elena Voita, David Talbot, Fedor Moiseev, Rico Sennrich, and Ivan Titov. 2019 · 2019
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Neural network acceptability judgments
Alex Warstadt, Amanpreet Singh, and Samuel Bowman. 2019 · 2019
Cited alongside, same era.
Q8bert: Quantized 8bit bert
Ofir Zafrir, Guy Boudoukh, Peter Izsak, and Moshe Wasserblat. 2019 · 2019
Cited alongside, same era.
The lottery ticket hypothesis for pre-trained bert networks
Tianlong Chen, Jonathan Frankle, Shiyu Chang, Sijia Liu, Yang Zhang, Zhangyang Wang, and Michael Carbin. 2020 · 2020
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Electra: Pre-training text encoders as discriminators rather than generators
Kevin Clark, Minh-Thang Luong, Quoc V Le, and Christopher D Manning. 2020 · 2020
Cited alongside, same era.
Stefan Grünewald, Prisca Piccirilli, and Annemarie Friedrich. 2021 · 2021
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Training independent subnetworks for robust prediction
Marton Havasi, Rodolphe Jenatton, Stanislav Fort, Jeremiah Zhe Liu, Jasper Snoek, Balaji Lakshminarayanan, Andrew Mingbo Dai, and Dustin Tran. 2021 · 2021
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Block pruning for faster transformers
François Lagunas, Ella Charlaix, Victor Sanh, and Alexander M Rush. 2021 · 2021
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Mixmo: Mixing multiple inputs for multiple outputs via deep subnetworks
Alexandre Ramé, Rémy Sun, and Matthieu Cord. 2021 · 2021
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AutoTinyBERT: Automatic hyper-parameter optimization for efficient pre-trained language models
Yichun Yin, Cheng Chen, Lifeng Shang, Xin Jiang, Xiao Chen, and Qun Liu. 2021 · 2021
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Prune once for all: Sparse pre-trained language models
Ofir Zafrir, Ariel Larey, Guy Boudoukh, Haihao Shen, and Moshe Wasserblat. 2021 · 2021
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Cm3: A causal masked multimodal model of the internet
Armen Aghajanyan, Bernie Huang, Candace Ross, Vladimir Karpukhin, Hu Xu, Naman Goyal, Dmytro Okhonko, Mandar Joshi, Gargi Ghosh, Mike Lewis, et al. 2022 · 2022
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Palm: Scaling language modeling with pathways
Aakanksha Chowdhery, Sharan Narang, Jacob Devlin, Maarten Bosma, Gaurav Mishra, Adam Roberts, Paul Barham, Hyung Won Chung, Charles Sutton, Sebastian Gehrmann, et al. 2022 · 2022
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Pruning pre-trained language models without fine-tuning
Ting Jiang, Deqing Wang, and Fuzhen Zhuang. 2022 · 2022
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DataMUX: Data multiplexing for neural networks
Vishvak Murahari, Carlos E Jimenez, Runzhe Yang, and Karthik R Narasimhan. 2022 · 2022
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Structured pruning learns compact and accurate models
Mengzhou Xia, Zexuan Zhong, and Danqi Chen. 2022 · 2022
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TextPruner: A model pruning toolkit for pre-trained language models
Ziqing Yang, Yiming Cui, and Zhigang Chen. 2022 · 2022
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Introducing chatgpt
OpenAI. 2023 · 2023
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