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Language Models are Few-Shot Learners

Jun 05, 2020
Tom B. Brown, Benjamin Mann, Nick Ryder, Melanie Subbiah, Jared Kaplan, Prafulla Dhariwal, Arvind Neelakantan, Pranav Shyam, Girish Sastry, Amanda Askell, Sandhini Agarwal, Ariel Herbert-Voss, Gretchen Krueger, Tom Henighan, Rewon Child, Aditya Ramesh, Daniel M. Ziegler, Jeffrey Wu, Clemens Winter, Christopher Hesse, Mark Chen, Eric Sigler, Mateusz Litwin, Scott Gray, Benjamin Chess, Jack Clark, Christopher Berner, Sam McCandlish, Alec Radford, Ilya Sutskever, Dario Amodei

* 40+32 pages 

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Trading Off Diversity and Quality in Natural Language Generation

Apr 22, 2020
Hugh Zhang, Daniel Duckworth, Daphne Ippolito, Arvind Neelakantan


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Neural Assistant: Joint Action Prediction, Response Generation, and Latent Knowledge Reasoning

Oct 31, 2019
Arvind Neelakantan, Semih Yavuz, Sharan Narang, Vishaal Prasad, Ben Goodrich, Daniel Duckworth, Chinnadhurai Sankar, Xifeng Yan


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Taskmaster-1: Toward a Realistic and Diverse Dialog Dataset

Sep 01, 2019
Bill Byrne, Karthik Krishnamoorthi, Chinnadhurai Sankar, Arvind Neelakantan, Daniel Duckworth, Semih Yavuz, Ben Goodrich, Amit Dubey, Andy Cedilnik, Kyu-Young Kim

* To appear at EMNLP 2019 

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Parallel Scheduled Sampling

Jun 11, 2019
Daniel Duckworth, Arvind Neelakantan, Ben Goodrich, Lukasz Kaiser, Samy Bengio

* Initial submission 

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Theory and Experiments on Vector Quantized Autoencoders

Jul 20, 2018
Aurko Roy, Ashish Vaswani, Arvind Neelakantan, Niki Parmar


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RelNet: End-to-End Modeling of Entities & Relations

Nov 16, 2017
Trapit Bansal, Arvind Neelakantan, Andrew McCallum

* Accepted in AKBC 2017 

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Chains of Reasoning over Entities, Relations, and Text using Recurrent Neural Networks

May 01, 2017
Rajarshi Das, Arvind Neelakantan, David Belanger, Andrew McCallum

* accepted to EACL 2017 (fixed latex formatting in previous version) 

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Learning a Natural Language Interface with Neural Programmer

Mar 02, 2017
Arvind Neelakantan, Quoc V. Le, Martin Abadi, Andrew McCallum, Dario Amodei

* Published as a conference paper at ICLR 2017 

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Generalizing to Unseen Entities and Entity Pairs with Row-less Universal Schema

Jan 09, 2017
Patrick Verga, Arvind Neelakantan, Andrew McCallum

* EACL 2017. arXiv admin note: text overlap with arXiv:1604.06361 

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Neural Programmer: Inducing Latent Programs with Gradient Descent

Aug 04, 2016
Arvind Neelakantan, Quoc V. Le, Ilya Sutskever

* Accepted as a conference paper at ICLR 2015 

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Adding Gradient Noise Improves Learning for Very Deep Networks

Nov 21, 2015
Arvind Neelakantan, Luke Vilnis, Quoc V. Le, Ilya Sutskever, Lukasz Kaiser, Karol Kurach, James Martens


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Compositional Vector Space Models for Knowledge Base Completion

May 27, 2015
Arvind Neelakantan, Benjamin Roth, Andrew McCallum

* The 53rd Annual Meeting of the Association for Computational Linguistics and The 7th International Joint Conference of the Asian Federation of Natural Language Processing, 2015 

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Inferring Missing Entity Type Instances for Knowledge Base Completion: New Dataset and Methods

Apr 24, 2015
Arvind Neelakantan, Ming-Wei Chang

* North American Chapter of the Association for Computational Linguistics- Human Language Technologies, 2015 

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Efficient Non-parametric Estimation of Multiple Embeddings per Word in Vector Space

Apr 24, 2015
Arvind Neelakantan, Jeevan Shankar, Alexandre Passos, Andrew McCallum

* In Conference on Empirical Methods in Natural Language Processing, 2014 

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Learning Dictionaries for Named Entity Recognition using Minimal Supervision

Apr 24, 2015
Arvind Neelakantan, Michael Collins

* In 14th Conference of the European Chapter of the Association for Computational Linguistic, 2014 

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