System Combination Using Discriminative Cross-Adaptation. - Jacob Devlin; Antti-Veikko I. Rosti; Sankaranarayanan Ananthakrishnan; Spyros Matsoukas (IJCNLP, 2011)

Unsupervised Morphology Rivals Supervised Morphology for Arabic MT. - David Stallard; Jacob Devlin; Michael Kayser; Yoong Keok Lee; Regina Barzilay (ACL (2), 2012)

Automatic Tune Set Generation for Machine Translation with Limited Indomain Data. - Jinying Chen; Jacob Devlin; Huaigu Cao; Rohit Prasad; Premkumar Natarajan (EAMT, 2012)

Statistical Machine Translation as a Language Model for Handwriting Recognition. - Jacob Devlin; Matin Kamali; Krishna Subramanian 001; Rohit Prasad; Prem Natarajan (ICFHR, 2012)

Document recognition and translation system for unconstrained Arabic documents. - Huaigu Cao; Jinying Chen; Jacob Devlin; Rohit Prasad; Prem Natarajan (ICPR, 2012)

Trait-Based Hypothesis Selection For Machine Translation. - Jacob Devlin; Spyros Matsoukas (HLT-NAACL, 2012)

Machine Translation of Arabic Dialects. - Rabih Zbib; Erika Malchiodi; Jacob Devlin; David Stallard; Spyros Matsoukas; Richard M. Schwartz; John Makhoul; Omar Zaidan; Chris Callison-Burch (HLT-NAACL, 2012)

Factored Soft Source Syntactic Constraints for Hierarchical Machine Translation. - Zhongqiang Huang; Jacob Devlin; Rabih Zbib (EMNLP, 2013)

BBN's Systems for the Chinese-English Sub-task of the NTCIR-10 PatentMT Evaluation. - Zhongqiang Huang; Jacob Devlin; Spyros Matsoukas (NTCIR, 2013)

BBN TransTalk: Robust multilingual two-way speech-to-speech translation for mobile platforms. - Rohit Prasad; Prem Natarajan; David Stallard; Shirin Saleem; Shankar Ananthakrishnan; Stavros Tsakalidis; Chia-Lin Kao; Fred Choi; Ralf Meermeier; Mark Rawls; Jacob Devlin; Kriste Krstovski; et al. (Comput. Speech Lang., 2013)

Fast and Robust Neural Network Joint Models for Statistical Machine Translation. - Jacob Devlin; Rabih Zbib; Zhongqiang Huang; Thomas Lamar; Richard M. Schwartz; John Makhoul (ACL (1), 2014)

Language Models for Image Captioning: The Quirks and What Works. - Jacob Devlin; Hao Cheng 002; Hao Fang 002; Saurabh Gupta 001; Li Deng 001; Xiaodong He 001; Geoffrey Zweig; Margaret Mitchell (ACL (2), 2015)

Statistical Machine Translation Features with Multitask Tensor Networks. - Hendra Setiawan; Zhongqiang Huang; Jacob Devlin; Thomas Lamar; Rabih Zbib; Richard M. Schwartz; John Makhoul (ACL (1), 2015)

Pre-Computable Multi-Layer Neural Network Language Models. - Jacob Devlin; Chris Quirk; Arul Menezes (EMNLP, 2015)

A Survey of Current Datasets for Vision and Language Research. - Francis Ferraro; Nasrin Mostafazadeh; Ting-Hao (Kenneth) Huang; Lucy Vanderwende; Jacob Devlin; Michel Galley; Margaret Mitchell (EMNLP, 2015)

Detecting Interrogative Utterances with Recurrent Neural Networks. - Junyoung Chung; Jacob Devlin; Hany Hassan Awadalla (CoRR, 2015)

Exploring Nearest Neighbor Approaches for Image Captioning. - Jacob Devlin; Saurabh Gupta 001; Ross B. Girshick; Margaret Mitchell; C. Lawrence Zitnick (CoRR, 2015)

On Available Corpora for Empirical Methods in Vision & Language. - Francis Ferraro; Nasrin Mostafazadeh; Ting-Hao (Kenneth) Huang; Lucy Vanderwende; Jacob Devlin; Michel Galley; Margaret Mitchell (CoRR, 2015)

Generating Natural Questions About an Image. - Nasrin Mostafazadeh; Ishan Misra; Jacob Devlin; Margaret Mitchell; Xiaodong He 001; Lucy Vanderwende (ACL (1), 2016)

Visual Storytelling. - Ting-Hao (Kenneth) Huang; Francis Ferraro; Nasrin Mostafazadeh; Ishan Misra; Aishwarya Agrawal; Jacob Devlin; Ross B. Girshick; Xiaodong He 001; Pushmeet Kohli; Dhruv Batra; C. Lawrence Zitnick; Devi Parikh; et al. (HLT-NAACL, 2016)

Generating Natural Questions About an Image. - Nasrin Mostafazadeh; Ishan Misra; Jacob Devlin; Larry Zitnick; Margaret Mitchell; Xiaodong He 001; Lucy Vanderwende (CoRR, 2016)

Sharp Models on Dull Hardware: Fast and Accurate Neural Machine Translation Decoding on the CPU. - Jacob Devlin (EMNLP, 2017)

RobustFill: Neural Program Learning under Noisy I/O. - Jacob Devlin; Jonathan Uesato; Surya Bhupatiraju; Rishabh Singh; Abdel-rahman Mohamed; Pushmeet Kohli (ICML, 2017)

Neural Program Meta-Induction. - Jacob Devlin; Rudy Bunel; Rishabh Singh; Matthew J. Hausknecht; Pushmeet Kohli (NIPS, 2017)

Semantic Code Repair using Neuro-Symbolic Transformation Networks. - Jacob Devlin; Jonathan Uesato; Rishabh Singh; Pushmeet Kohli (CoRR, 2017)

Leveraging Grammar and Reinforcement Learning for Neural Program Synthesis. - Rudy Bunel; Matthew J. Hausknecht; Jacob Devlin; Rishabh Singh; Pushmeet Kohli (ICLR (Poster), 2018)

Universal Neural Machine Translation for Extremely Low Resource Languages. - Jiatao Gu; Hany Hassan; Jacob Devlin; Victor O. K. Li (NAACL-HLT, 2018)

Synthetic QA Corpora Generation with Roundtrip Consistency. - Chris Alberti; Daniel Andor; Emily Pitler; Jacob Devlin; Michael Collins 001 (ACL (1), 2019)

Zero-Shot Entity Linking by Reading Entity Descriptions. - Lajanugen Logeswaran; Ming-Wei Chang; Kenton Lee; Kristina Toutanova; Jacob Devlin; Honglak Lee (ACL (1), 2019)

BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding. - Jacob Devlin; Ming-Wei Chang; Kenton Lee; Kristina Toutanova (NAACL-HLT (1), 2019)

Language Model Pre-training for Hierarchical Document Representations. - Ming-Wei Chang; Kristina Toutanova; Kenton Lee; Jacob Devlin (CoRR, 2019)

Natural Questions: a Benchmark for Question Answering Research. - Tom Kwiatkowski; Jennimaria Palomaki; Olivia Redfield; Michael Collins 001; Ankur P. Parikh; Chris Alberti; Danielle Epstein; Illia Polosukhin; Jacob Devlin; Kenton Lee; Kristina Toutanova; Llion Jones; et al. (Trans. Assoc. Comput. Linguistics, 2019)

Multi-Vector Attention Models for Deep Re-ranking. - Giulio Zhou; Jacob Devlin (EMNLP (1), 2021)

Scaling Instruction-Finetuned Language Models. - Hyung Won Chung; Le Hou; Shayne Longpre; Barret Zoph; Yi Tay; William Fedus; Eric Li; Xuezhi Wang 002; Mostafa Dehghani 001; Siddhartha Brahma; Albert Webson; Shixiang Shane Gu; et al. (CoRR, 2022)

Efficiently Scaling Transformer Inference. - Reiner Pope; Sholto Douglas; Aakanksha Chowdhery; Jacob Devlin; James Bradbury; Anselm Levskaya; Jonathan Heek; Kefan Xiao; Shivani Agrawal; Jeff Dean (CoRR, 2022)

QueryForm: A Simple Zero-shot Form Entity Query Framework. - Zifeng Wang 002; Zizhao Zhang; Jacob Devlin; Chen-Yu Lee; Guolong Su; Hao Zhang; Jennifer G. Dy; Vincent Perot; Tomas Pfister (ACL (Findings), 2023)

Efficiently Scaling Transformer Inference. - Reiner Pope; Sholto Douglas; Aakanksha Chowdhery; Jacob Devlin; James Bradbury; Jonathan Heek; Kefan Xiao; Shivani Agrawal; Jeff Dean (MLSys, 2023)

PaLM 2 Technical Report. - Rohan Anil; Andrew M. Dai; Orhan Firat; Melvin Johnson; Dmitry Lepikhin; Alexandre Passos; Siamak Shakeri; Emanuel Taropa; Paige Bailey; Zhifeng Chen; Eric Chu; Jonathan H. Clark; et al. (CoRR, 2023)

PaLM: Scaling Language Modeling with Pathways. - Aakanksha Chowdhery; Sharan Narang; Jacob Devlin; Maarten Bosma; Gaurav Mishra; Adam Roberts; Paul Barham 001; Hyung Won Chung; Charles Sutton; Sebastian Gehrmann; Parker Schuh; Kensen Shi; et al. (J. Mach. Learn. Res., 2023)

Scaling Instruction-Finetuned Language Models. - Hyung Won Chung; Le Hou; Shayne Longpre; Barret Zoph; Yi Tay; William Fedus; Yunxuan Li; Xuezhi Wang 002; Mostafa Dehghani 001; Siddhartha Brahma; Albert Webson; Shixiang Shane Gu; et al. (J. Mach. Learn. Res., 2024)