Finding Deceptive Opinion Spam by Any Stretch of the Imagination. - Myle Ott; Yejin Choi 001; Claire Cardie; Jeffrey T. Hancock (ACL, 2011)

Multi-aspect Sentiment Analysis with Topic Models. - Bin Lu 001; Myle Ott; Claire Cardie; Benjamin K. Tsou (ICDM Workshops, 2011)

Estimating the prevalence of deception in online review communities. - Myle Ott; Claire Cardie; Jeffrey T. Hancock (WWW, 2012)

Identifying Manipulated Offerings on Review Portals. - Jiwei Li 001; Myle Ott; Claire Cardie (EMNLP, 2013)

Properties, Prediction, and Prevalence of Useful User-Generated Comments for Descriptive Annotation of Social Media Objects. - Elaheh Momeni; Claire Cardie; Myle Ott (ICWSM, 2013)

Negative Deceptive Opinion Spam. - Myle Ott; Claire Cardie; Jeffrey T. Hancock (HLT-NAACL, 2013)

Computational Linguistic Models of Deceptive Opinion Spam. - Myle Ott (2013)

Towards a General Rule for Identifying Deceptive Opinion Spam. - Jiwei Li 001; Myle Ott; Claire Cardie; Eduard H. Hovy (ACL (1), 2014)

Linguistic Models of Deceptive Opinion Spam. - Myle Ott (WASSA@ACL, 2014)

Impact of Mobility and Timing on User-Generated Content. - Gabriele Piccoli; Myle Ott (MIS Q. Executive, 2014)

Understanding Back-Translation at Scale. - Sergey Edunov; Myle Ott; Michael Auli; David Grangier (EMNLP, 2018)

Phrase-Based & Neural Unsupervised Machine Translation. - Guillaume Lample; Myle Ott; Alexis Conneau; Ludovic Denoyer; Marc'Aurelio Ranzato (EMNLP, 2018)

Analyzing Uncertainty in Neural Machine Translation. - Myle Ott; Michael Auli; David Grangier; Marc'Aurelio Ranzato (ICML, 2018)

Classical Structured Prediction Losses for Sequence to Sequence Learning. - Sergey Edunov; Myle Ott; Michael Auli; David Grangier; Marc'Aurelio Ranzato (NAACL-HLT, 2018)

Scaling Neural Machine Translation. - Myle Ott; Sergey Edunov; David Grangier; Michael Auli (WMT, 2018)

Facebook AI's WAT19 Myanmar-English Translation Task Submission. - Peng-Jen Chen; Jiajun Shen; Matt Le 001; Vishrav Chaudhary; Ahmed El-Kishky; Guillaume Wenzek; Myle Ott; Marc'Aurelio Ranzato (WAT@EMNLP-IJCNLP, 2019)

The FLORES Evaluation Datasets for Low-Resource Machine Translation: Nepali-English and Sinhala-English. - Francisco Guzmán; Peng-Jen Chen; Myle Ott; Juan Miguel Pino; Guillaume Lample; Philipp Koehn; Vishrav Chaudhary; Marc'Aurelio Ranzato (EMNLP/IJCNLP (1), 2019)

Mixture Models for Diverse Machine Translation: Tricks of the Trade. - Tianxiao Shen; Myle Ott; Michael Auli; Marc'Aurelio Ranzato (ICML, 2019)

fairseq: A Fast, Extensible Toolkit for Sequence Modeling. - Myle Ott; Sergey Edunov; Alexei Baevski; Angela Fan; Sam Gross; Nathan Ng 001; David Grangier; Michael Auli (NAACL-HLT (Demonstrations), 2019)

Facebook FAIR's WMT19 News Translation Task Submission. - Nathan Ng 001; Kyra Yee; Alexei Baevski; Myle Ott; Michael Auli; Sergey Edunov (WMT (2), 2019)

Two New Evaluation Datasets for Low-Resource Machine Translation: Nepali-English and Sinhala-English. - Francisco Guzmán; Peng-Jen Chen; Myle Ott; Juan Miguel Pino; Guillaume Lample; Philipp Koehn; Vishrav Chaudhary; Marc'Aurelio Ranzato (CoRR, 2019)

Real or Fake? Learning to Discriminate Machine from Human Generated Text. - Anton Bakhtin; Sam Gross; Myle Ott; Yuntian Deng; Marc'Aurelio Ranzato; Arthur Szlam (CoRR, 2019)

RoBERTa: A Robustly Optimized BERT Pretraining Approach. - Yinhan Liu; Myle Ott; Naman Goyal 001; Jingfei Du; Mandar Joshi; Danqi Chen 001; Omer Levy; Mike Lewis; Luke Zettlemoyer; Veselin Stoyanov (CoRR, 2019)

On The Evaluation of Machine Translation Systems Trained With Back-Translation. - Sergey Edunov; Myle Ott; Marc'Aurelio Ranzato; Michael Auli (CoRR, 2019)

Mix-review: Alleviate Forgetting in the Pretrain-Finetune Framework for Neural Language Generation Models. - Tianxing He; Jun Liu; Kyunghyun Cho; Myle Ott; Bing Liu 024; James R. Glass; Fuchun Peng (CoRR, 2019)

Pretrained Language Models for Biomedical and Clinical Tasks: Understanding and Extending the State-of-the-Art. - Patrick Lewis 001; Myle Ott; Jingfei Du; Veselin Stoyanov (ClinicalNLP@EMNLP, 2020)

Unsupervised Cross-lingual Representation Learning at Scale. - Alexis Conneau; Kartikay Khandelwal; Naman Goyal 001; Vishrav Chaudhary; Guillaume Wenzek; Francisco Guzmán; Edouard Grave; Myle Ott; Luke Zettlemoyer; Veselin Stoyanov (ACL, 2020)

On The Evaluation of Machine Translation SystemsTrained With Back-Translation. - Sergey Edunov; Myle Ott; Marc'Aurelio Ranzato; Michael Auli (ACL, 2020)

General Purpose Text Embeddings from Pre-trained Language Models for Scalable Inference. - Jingfei Du; Myle Ott; Haoran Li 007; Xing Zhou; Veselin Stoyanov (EMNLP (Findings), 2020)

How Decoding Strategies Affect the Verifiability of Generated Text. - Luca Massarelli; Fabio Petroni; Aleksandra Piktus; Myle Ott; Tim Rocktäschel; Vassilis Plachouras; Fabrizio Silvestri; Sebastian Riedel 001 (EMNLP (Findings), 2020)

Residual Energy-Based Models for Text Generation. - Yuntian Deng; Anton Bakhtin; Myle Ott; Arthur Szlam; Marc'Aurelio Ranzato (ICLR, 2020)

Energy-Based Models for Text. - Anton Bakhtin; Yuntian Deng; Sam Gross; Myle Ott; Marc'Aurelio Ranzato; Arthur Szlam (CoRR, 2020)

Recipes for building an open-domain chatbot. - Stephen Roller; Emily Dinan; Naman Goyal 001; Da Ju; Mary Williamson; Yinhan Liu; Jing Xu; Myle Ott; Kurt Shuster 001; Eric Michael Smith; Y-Lan Boureau; Jason Weston (CoRR, 2020)

Few-shot Sequence Learning with Transformers. - Lajanugen Logeswaran; Ann Lee 001; Myle Ott; Honglak Lee; Marc'Aurelio Ranzato; Arthur Szlam (CoRR, 2020)

Analyzing the Forgetting Problem in Pretrain-Finetuning of Open-domain Dialogue Response Models. - Tianxing He; Jun Liu; Kyunghyun Cho; Myle Ott; Bing Liu 024; James R. Glass; Fuchun Peng (EACL, 2021)

Recipes for Building an Open-Domain Chatbot. - Stephen Roller; Emily Dinan; Naman Goyal 001; Da Ju; Mary Williamson; Yinhan Liu; Jing Xu; Myle Ott; Eric Michael Smith; Y-Lan Boureau; Jason Weston (EACL, 2021)

The Source-Target Domain Mismatch Problem in Machine Translation. - Jiajun Shen; Peng-Jen Chen; Matt Le 001; Junxian He; Jiatao Gu; Myle Ott; Michael Auli; Marc'Aurelio Ranzato (EACL, 2021)

Larger-Scale Transformers for Multilingual Masked Language Modeling. - Naman Goyal 001; Jingfei Du; Myle Ott; Giri Anantharaman; Alexis Conneau (RepL4NLP@ACL-IJCNLP, 2021)

NormFormer: Improved Transformer Pretraining with Extra Normalization. - Sam Shleifer; Jason Weston; Myle Ott (CoRR, 2021)

Sustainable AI: Environmental Implications, Challenges and Opportunities. - Carole-Jean Wu; Ramya Raghavendra; Udit Gupta; Bilge Acun; Newsha Ardalani; Kiwan Maeng; Gloria Chang; Fiona Aga Behram; James Huang; Charles Bai; Michael Gschwind; Anurag Gupta; et al. (CoRR, 2021)

Few-shot Learning with Multilingual Language Models. - Xi Victoria Lin; Todor Mihaylov; Mikel Artetxe; Tianlu Wang; Shuohui Chen; Daniel Simig; Myle Ott; Naman Goyal 001; Shruti Bhosale; Jingfei Du; Ramakanth Pasunuru; Sam Shleifer; et al. (CoRR, 2021)

Efficient Large Scale Language Modeling with Mixtures of Experts. - Mikel Artetxe; Shruti Bhosale; Naman Goyal 001; Todor Mihaylov; Myle Ott; Sam Shleifer; Xi Victoria Lin; Jingfei Du; Srinivasan Iyer 001; Ramakanth Pasunuru; Giri Anantharaman; Xian Li 003; et al. (CoRR, 2021)

Residual Energy-Based Models for Text. - Anton Bakhtin; Yuntian Deng; Sam Gross; Myle Ott; Marc'Aurelio Ranzato; Arthur Szlam (J. Mach. Learn. Res., 2021)

Biological structure and function emerge from scaling unsupervised learning to 250 million protein sequences. - Alexander Rives; Joshua Meier; Tom Sercu; Siddharth Goyal; Zeming Lin; Jason Liu; Demi Guo; Myle Ott; C. Lawrence Zitnick; Jerry Ma; Rob Fergus (Proc. Natl. Acad. Sci. USA, 2021)

On Anytime Learning at Macroscale. - Lucas Caccia; Jing Xu; Myle Ott; Marc'Aurelio Ranzato; Ludovic Denoyer (CoLLAs, 2022)

Efficient Large Scale Language Modeling with Mixtures of Experts. - Mikel Artetxe; Shruti Bhosale; Naman Goyal 001; Todor Mihaylov; Myle Ott; Sam Shleifer; Xi Victoria Lin; Jingfei Du; Srinivasan Iyer 001; Ramakanth Pasunuru; Giridharan Anantharaman; Xian Li 003; et al. (EMNLP, 2022)

Few-shot Learning with Multilingual Generative Language Models. - Xi Victoria Lin; Todor Mihaylov; Mikel Artetxe; Tianlu Wang; Shuohui Chen; Daniel Simig; Myle Ott; Naman Goyal 001; Shruti Bhosale; Jingfei Du; Ramakanth Pasunuru; Sam Shleifer; et al. (EMNLP, 2022)

Sustainable AI: Environmental Implications, Challenges and Opportunities. - Carole-Jean Wu; Ramya Raghavendra; Udit Gupta; Bilge Acun; Newsha Ardalani; Kiwan Maeng; Gloria Chang; Fiona Aga Behram; Jinshi Huang; Charles Bai; Michael Gschwind; Anurag Gupta; et al. (MLSys, 2022)

Efficient Language Modeling with Sparse all-MLP. - Ping Yu; Mikel Artetxe; Myle Ott; Sam Shleifer; Hongyu Gong; Ves Stoyanov; Xian Li 003 (CoRR, 2022)

OPT: Open Pre-trained Transformer Language Models. - Susan Zhang; Stephen Roller; Naman Goyal 001; Mikel Artetxe; Moya Chen; Shuohui Chen; Christopher Dewan; Mona T. Diab; Xian Li 003; Xi Victoria Lin; Todor Mihaylov; Myle Ott; et al. (CoRR, 2022)

PyTorch FSDP: Experiences on Scaling Fully Sharded Data Parallel. - Yanli Zhao; Andrew Gu; Rohan Varma; Liang Luo; Chien-Chin Huang; Min Xu; Less Wright; Hamid Shojanazeri; Myle Ott; Sam Shleifer; Alban Desmaison; Can Balioglu; et al. (CoRR, 2023)

PyTorch FSDP: Experiences on Scaling Fully Sharded Data Parallel. - Yanli Zhao; Andrew Gu; Rohan Varma; Liang Luo; Chien-Chin Huang; Min Xu; Less Wright; Hamid Shojanazeri; Myle Ott; Sam Shleifer; Alban Desmaison; Can Balioglu; et al. (Proc. VLDB Endow., 2023)