Active error detection and resolution for speech-to-speech translation. - Rohit Prasad; Rohit Kumar 001; Sankaranarayanan Ananthakrishnan; Wei Chen; Sanjika Hewavitharana; Matthew E. Roy; Fred Choi; Aaron Challenner; Enoch Kan; Arvind Neelakantan; Prem Natarajan (IWSLT, 2012)

Learning Dictionaries for Named Entity Recognition using Minimal Supervision. - Arvind Neelakantan; Michael Collins 001 (EACL, 2014)

Efficient Non-parametric Estimation of Multiple Embeddings per Word in Vector Space. - Arvind Neelakantan; Jeevan Shankar; Alexandre Passos; Andrew McCallum (EMNLP, 2014)

Compositional Vector Space Models for Knowledge Base Inference. - Arvind Neelakantan; Benjamin Roth 001; Andrew McCallum (AAAI Spring Symposia, 2015)

Compositional Vector Space Models for Knowledge Base Completion. - Arvind Neelakantan; Benjamin Roth 001; Andrew McCallum (ACL (1), 2015)

Inferring Missing Entity Type Instances for Knowledge Base Completion: New Dataset and Methods. - Arvind Neelakantan; Ming-Wei Chang (HLT-NAACL, 2015)

Adding Gradient Noise Improves Learning for Very Deep Networks. - Arvind Neelakantan; Luke Vilnis; Quoc V. Le; Ilya Sutskever; Lukasz Kaiser; Karol Kurach; James Martens (CoRR, 2015)

Incorporating Selectional Preferences in Multi-hop Relation Extraction. - Rajarshi Das; Arvind Neelakantan; David Belanger 002; Andrew McCallum (AKBC@NAACL-HLT, 2016)

Neural Programmer: Inducing Latent Programs with Gradient Descent. - Arvind Neelakantan; Quoc V. Le; Ilya Sutskever (ICLR (Poster), 2016)

Predicting the impact of scientific concepts using full-text features. - Kathy McKeown; Hal Daumé III; Snigdha Chaturvedi; John Paparrizos; Kapil Thadani; Pablo Barrio 002; Or Biran; Suvarna Bothe; Michael Collins 001; Kenneth R. Fleischmann; Luis Gravano; Rahul Jha; et al. (J. Assoc. Inf. Sci. Technol., 2016)

RelNet: End-to-end Modeling of Entities & Relations. - Trapit Bansal; Arvind Neelakantan; Andrew McCallum (AKBC@NIPS, 2017)

Chains of Reasoning over Entities, Relations, and Text using Recurrent Neural Networks. - Rajarshi Das; Arvind Neelakantan; David Belanger 002; Andrew McCallum (EACL (1), 2017)

Generalizing to Unseen Entities and Entity Pairs with Row-less Universal Schema. - Patrick Verga; Arvind Neelakantan; Andrew McCallum (EACL (1), 2017)

Learning a Natural Language Interface with Neural Programmer. - Arvind Neelakantan; Quoc V. Le; Martín Abadi; Andrew McCallum; Dario Amodei (ICLR (Poster), 2017)

Theory and Experiments on Vector Quantized Autoencoders. - Aurko Roy; Ashish Vaswani; Arvind Neelakantan; Niki Parmar (CoRR, 2018)

Taskmaster-1: Toward a Realistic and Diverse Dialog Dataset. - Bill Byrne; Karthik Krishnamoorthi; Chinnadhurai Sankar; Arvind Neelakantan; Ben Goodrich; Daniel Duckworth; Semih Yavuz; Amit Dubey; Kyu-Young Kim; Andy Cedilnik (EMNLP/IJCNLP (1), 2019)

Parallel Scheduled Sampling. - Daniel Duckworth; Arvind Neelakantan; Ben Goodrich; Lukasz Kaiser; Samy Bengio (CoRR, 2019)

Neural Assistant: Joint Action Prediction, Response Generation, and Latent Knowledge Reasoning. - Arvind Neelakantan; Semih Yavuz; Sharan Narang; Vishaal Prasad; Ben Goodrich; Daniel Duckworth; Chinnadhurai Sankar; Xifeng Yan (CoRR, 2019)

On Task-Level Dialogue Composition of Generative Transformer Model. - Prasanna Parthasarathi; Sharan Narang; Arvind Neelakantan (Insights, 2020)

Language Models are Few-Shot Learners. - 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; et al. (NeurIPS, 2020)

Trading Off Diversity and Quality in Natural Language Generation. - Hugh Zhang; Daniel Duckworth; Daphne Ippolito; Arvind Neelakantan (CoRR, 2020)

Unsupervised Neural Machine Translation with Generative Language Models Only. - Jesse Michael Han; Igor Babuschkin; Harrison Edwards; Arvind Neelakantan; Tao Xu; Stanislas Polu; Alex Ray; Pranav Shyam; Aditya Ramesh; Alec Radford; Ilya Sutskever (CoRR, 2021)

Text and Code Embeddings by Contrastive Pre-Training. - Arvind Neelakantan; Tao Xu; Raul Puri; Alec Radford; Jesse Michael Han; Jerry Tworek; Qiming Yuan; Nikolas Tezak; Jong Wook Kim; Chris Hallacy; Johannes Heidecke; Pranav Shyam; et al. (CoRR, 2022)