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The NLC2CMD Competition hosted at NeurIPS 2020 aimed to bring the power of natural language processing to the command line.
BLEU: A Method for Automatic Evaluation of Machine Translation
Kishore Papineni, Salim Roukos, Todd Ward, and Wei-Jing Zhu · 2002
Earlier work this paper cites.
Semantic evaluation for text-to-sql with distilled test suites
Ruiqi Zhong, Tao Yu, and Dan Klein · 2010
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Evaluating the Energy Efficiency of Deep Convolutional Neural Networks on CPUs and GPUs
Da Li, Xinbo Chen, Michela Becchi, and Ziliang Zong · 2016
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Word Embeddings for Practical Information Retrieval
Lukas Galke, Ahmed Saleh, and Ansgar Scherp · 2017
Earlier work this paper cites.
From Language to Programs: Bridging Reinforcement Learning and Maximum Marginal Likelihood
Kelvin Guu, Panupong Pasupat, Evan Liu, and Percy Liang · 2017
Earlier work this paper cites.
Program synthesis from natural language using recurrent neural networks
Xi Victoria Lin, Chenglong Wang, Deric Pang, Kevin Vu, Luke Zettlemoyer, and Michael D. Ernst · 2017
Earlier work this paper cites.
Ashish Vaswani, Noam Shazeer, Niki Parmar, Jakob Uszkoreit, Llion Jones, Aidan N. Gomez, L. Kaiser, and Illia Polosukhin · 2017
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A syntactic neural model for general-purpose code generation
Pengcheng Yin and Graham Neubig · 2017
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Stackgan: Text to Photo-realistic Image Synthesis with Stacked Generative Adversarial Networks
Han Zhang, Tao Xu, Hongsheng Li, Shaoting Zhang, Xiaogang Wang, Xiaolei Huang, and Dimitris N Metaxas · 2017
Earlier work this paper cites.
Seq2sql: Generating Structured Queries from Natural Language Using Reinforcement Learning
Victor Zhong, Caiming Xiong, and Richard Socher · 2017
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A Survey of Machine Learning for Big Code and Naturalness
Miltiadis Allamanis, Earl T Barr, Premkumar Devanbu, and Charles Sutton · 2018
Earlier work this paper cites.
Tree-to-tree Neural Networks for Program Translation
Xinyun Chen, Chang Liu, and Dawn Song · 2018
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Lifelong Machine Learning
Zhiyuan Chen and Bing Liu · 2018
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Understanding Back-Translation at Scale
Sergey Edunov, Myle Ott, M. Auli, and David Grangier · 2018
Earlier work this paper cites.
Survey of the State of the Art in Natural Language Generation: Core Tasks, Applications and Evaluation
Albert Gatt and Emiel Krahmer · 2018
Cited alongside, same era.
NL2Bash: A Corpus and Semantic Parser for Natural Language Interface to the Linux Operating System
Xi Victoria Lin, Chenglong Wang, Luke Zettlemoyer, and Michael D. Ernst · 2018
Cited alongside, same era.
Why Self-Attention? A Targeted Evaluation of Neural Machine Translation Architectures
Gongbo Tang, Mathias Müller, Annette Rios, and Rico Sennrich · 2018
Cited alongside, same era.
Spider: A Large-Scale Human-Labeled Dataset for Complex and Cross-Domain Semantic Parsing and Text-to-SQL Task
Tao Yu, Rui Zhang, Kai Yang, Michihiro Yasunaga, Dongxu Wang, Zifan Li, James Ma, Irene Li, Qingning Yao, Shanelle Roman, Zilin Zhang, and Dragomir R. Radev · 2018
Cited alongside, same era.
Semantic program alignment for equivalence checking
Berkeley Churchill, Oded Padon, Rahul Sharma, and Alex Aiken · 2019
Does BLEU score work for code migration?
Ngoc Tran, Hieu Tran, Son Nguyen, Hoan Nguyen, and Tien Nguyen · 2019
Later among the works it cites.
EvalAI: Towards Better Evaluation Systems for AI Agents
Deshraj Yadav, Rishabh Jain, Harsh Agrawal, Prithvijit Chattopadhyay, Taranjeet Singh, Akash Jain, Shiv Baran Singh, Stefan Lee, and Dhruv Batra · 2019
Later among the works it cites.
CLAI: A Platform for AI Skills on the Command Line
Mayank Agarwal, Jorge J Barroso, Tathagata Chakraborti, Eli M Dow, Kshitij Fadnis, Borja Godoy, and Kartik Talamadupula · 2020
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Extracting Training Data from Large Language Models
Nicholas Carlini, Florian Tramer, Eric Wallace, Matthew Jagielski, Ariel Herbert-Voss, Katherine Lee, Adam Roberts, Tom Brown, Dawn Song, Ulfar Erlingsson, et al · 2020
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Towards the Systematic Reporting of the Energy and Carbon Footprints of Machine Learning
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Cited alongside, same era.
Coda: An End-to-end Neural Program Decompiler
Cheng Fu, Huili Chen, Haolan Liu, Xinyun Chen, Yuandong Tian, Farinaz Koushanfar, and Jishen Zhao · 2019
Cited alongside, same era.
AInix: An Open Platform for Natural Language Interfaces to Shell Commands
David Gros · 2019
Cited alongside, same era.
Codesearchnet challenge: Evaluating the state of semantic code search
Hamel Husain, Ho-Hsiang Wu, Tiferet Gazit, Miltiadis Allamanis, and Marc Brockschmidt · 2019
Cited alongside, same era.
Quantifying the carbon emissions of machine learning
Alexandre Lacoste, Alexandra Luccioni, Victor Schmidt, and Thomas Dandres · 2019
Cited alongside, same era.
Energy Usage Reports: Environmental Awareness as Part of Algorithmic Accountability
Kadan Lottick, Silvia Susai, Sorelle A Friedler, and Jonathan P Wilson · 2019
Cited alongside, same era.
Language models are unsupervised multitask learners
Alec Radford, Jeffrey Wu, Rewon Child, David Luan, Dario Amodei, and Ilya Sutskever · 2019
Cited alongside, same era.
Exploring the Limits of Transfer Learning with a Unified Text-to-Text Transformer
Colin Raffel, Noam Shazeer, Adam Roberts, Katherine Lee, Sharan Narang, Michael Matena, Yanqi Zhou, Wei Li, and Peter J Liu · 2019
Cited alongside, same era.
Peter Henderson, Jieru Hu, Joshua Romoff, Emma Brunskill, Dan Jurafsky, and Joelle Pineau · 2020
Later among the works it cites.
Hierarchical Decoding of Bash Commands
Sungmin Kang and Juyeon Yoon · 2020
Later among the works it cites.
Unsupervised Translation of Programming Languages
Marie-Anne Lachaux, Baptiste Roziere, Lowik Chanussot, and Guillaume Lample · 2020
Later among the works it cites.
NLC2CMD Report from JB Team
Denis Litvinov, Gleb Morgachev, Artem Popov, Nikolai Korolev, and Dmitrii Orekhov · 2020
Later among the works it cites.
Shellshock – High Voltage, 2020
Shrey Shah · 2020
Later among the works it cites.
Bash shell scripting, 2020
Wikibooks · 2020
Later among the works it cites.
Photon: A Robust Cross-Domain Text-to-SQL System
Jichuan Zeng, Xi Victoria Lin, S. Hoi, R. Socher, Caiming Xiong, Michael R. Lyu, and Irwin King · 2020
Later among the works it cites.
On the Dangers of Stochastic Parrots: Can Language Models Be Too Big?
Emily M Bender, Timnit Gebru, Angelina McMillan-Major, and Shmargaret Shmitchell · 2021
Closest in time.
Measuring coding challenge competence with apps
Dan Hendrycks, Steven Basart, Saurav Kadavath, Mantas Mazeika, Akul Arora, Ethan Guo, Collin Burns, Samir Puranik, Horace He, Dawn Song, et al · 2021
Closest in time.
Command Injection, 2021
Weilin Zhong · 2021
Closest in time.