Yuntian Deng

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All published works

Action	Title	Year	Authors
+ PDF Chat	MixEval: Deriving Wisdom of the Crowd from LLM Benchmark Mixtures	2024	Jinjie Ni Fuzhao Xue Xiang Yue Yuntian Deng Mahir Shah Kabir Jain Graham Neubig Yang You
+ PDF Chat	From Explicit CoT to Implicit CoT: Learning to Internalize CoT Step by Step	2024	Yuntian Deng Yejin Choi Stuart M. Shieber
+	DeepSpeed4Science Initiative: Enabling Large-Scale Scientific Discovery through Sophisticated AI System Technologies	2023	Shuaiwen Leon Song Bonnie Kruft Minjia Zhang Conglong Li Shiyang Chen Chengming Zhang Masahiro Tanaka Xiaoxia Wu Jeff Rasley Ammar Ahmad Awan
+	Tree Prompting: Efficient Task Adaptation without Fine-Tuning	2023	John X. Morris Chandan Singh Alexander M. Rush Jianfeng Gao Yuntian Deng
+	Implicit Chain of Thought Reasoning via Knowledge Distillation	2023	Yuntian Deng K.N. Prasad Roland Fernandez Paul Smolensky Vishrav Chaudhary Stuart M. Shieber
+ PDF Chat	Tree Prompting: Efficient Task Adaptation without Fine-Tuning	2023	Chandan Singh John X. Morris Alexander M. Rush Jianfeng Gao Yuntian Deng
+ PDF Chat	Fleet sizing and charger allocation in electric vehicle sharing systems	2022	Yuntian Deng Abhishek Gupta Ness B. Shroff
+ PDF Chat	Interference Constrained Beam Alignment for Time-Varying Channels via Kernelized Bandits	2022	Yuntian Deng Xing-Yu Zhou Arnob Ghosh Abhishek Gupta Ness B. Shroff
+	Low-Rank Constraints for Fast Inference in Structured Models	2022	Justin Chiu Yuntian Deng Alexander M. Rush
+	Semi-Parametric Inducing Point Networks and Neural Processes	2022	Richa Rastogi Yuntian Deng Ian Lee Mert R. Sabuncu Volodymyr Kuleshov
+	Markup-to-Image Diffusion Models with Scheduled Sampling	2022	Yuntian Deng Noriyuki Kojima Alexander M. Rush
+	Model Criticism for Long-Form Text Generation	2022	Yuntian Deng Volodymyr Kuleshov Alexander M. Rush
+	Interference Constrained Beam Alignment for Time-Varying Channels via Kernelized Bandits	2022	Yuntian Deng Xing-Yu Zhou Arnob Ghosh Abhishek Gupta Ness B. Shroff
+ PDF Chat	Model Criticism for Long-Form Text Generation	2022	Yuntian Deng Volodymyr Kuleshov Alexander M. Rush
+	Multi-objective vehicle rebalancing for ridehailing system using a reinforcement learning approach	2021	Yuntian Deng Hao Chen Shiping Shao Jiacheng Tang Jianzong Pi Abhishek Gupta
+	Incentive Design and Profit Sharing in Multi-modal Transportation Network	2021	Yuntian Deng Shiping Shao Archak Mittal Richard Twumasi-Boakye James Fishelson Abhishek Gupta Ness B. Shroff
+	Weighted Gaussian Process Bandits for Non-stationary Environments	2021	Yuntian Deng Xingyu Zhou Baekjin Kim Ambuj Tewari Abhishek Gupta Ness B. Shroff
+ PDF Chat	Rationales for Sequential Predictions	2021	Keyon Vafa Yuntian Deng David M. Blei Alexander M. Rush
+	Rationales for Sequential Predictions	2021	Keyon Vafa Yuntian Deng David M. Blei Alexander M. Rush
+	Residual Energy-Based Models for Text Generation	2020	Yuntian Deng Anton Bakhtin Myle Ott Arthur Szlam
+	Energy-Based Models for Text	2020	Anton Bakhtin Yuntian Deng Sam Gross Myle Ott Marc’Aurelio Ranzato Arthur Szlam
+	Residual Energy-Based Models for Text Generation	2020	Yuntian Deng Anton Bakhtin Myle Ott Arthur Szlam Marc’Aurelio Ranzato
+	Cascaded Text Generation with Markov Transformers	2020	Yuntian Deng Alexander M. Rush
+	Fleet Sizing and Charger Allocation in Electric Vehicle Sharing Systems	2020	Yuntian Deng Abhishek Gupta Ness B. Shroff
+	Residual Energy-Based Models for Text	2020	Anton Bakhtin Yuntian Deng Sam Gross Myle Ott Marc’Aurelio Ranzato Arthur Szlam
+	Multi-Objective Vehicle Rebalancing for Ridehailing System using a Reinforcement Learning Approach	2020	Yuntian Deng Hao Chen Shiping Shao Jiacheng Tang Jianzong Pi Abhishek Gupta
+	Neural Linguistic Steganography	2019	Zachary M. Ziegler Yuntian Deng Alexander M. Rush
+	AdaptivFloat: A Floating-point based Data Type for Resilient Deep Learning Inference	2019	Thierry Tambe En-Yu Yang Zishen Wan Yuntian Deng Vijay Janapa Reddi Alexander M. Rush David Brooks Gu-Yeon Wei
+	Neural Linguistic Steganography	2019	Zachary M. Ziegler Yuntian Deng Alexander M. Rush
+	Real or Fake? Learning to Discriminate Machine from Human Generated Text	2019	Anton Bakhtin Sam Gross Myle Ott Yuntian Deng Marc’Aurelio Ranzato Arthur Szlam
+	Bottom-Up Abstractive Summarization.	2018	Sebastian Gehrmann Yuntian Deng Alexander M. Rush
+	OpenNMT: Neural Machine Translation Toolkit	2018	Guillaume Klein Yoon Kim Yuntian Deng Vincent Nguyen Jean Sénellart Alexander M. Rush
+	OpenNMT: Neural Machine Translation Toolkit	2018	Guillaume Klein Yoon Kim Yuntian Deng Vincent Nguyen Jean Sénellart Alexander M. Rush
+ PDF Chat	Bottom-Up Abstractive Summarization	2018	Sebastian Gehrmann Yuntian Deng Alexander M. Rush
+	Statistical Impact of New York Health Legislation	2018	William B. Long Joe Zhou Zhirui Hu Yuntian Deng
+	Latent Alignment and Variational Attention	2018	Yuntian Deng Yoon Kim Justin Chiu Demi Guo Alexander M. Rush
+	Visual Attention Model for Cross-Sectional Stock Return Prediction and End-to-End Multimodal Market Representation Learning.	2018	Ran Zhao Yuntian Deng Mark Dredze Arun Kumar Verma David S. Rosenberg Amanda Stent
+	Visual Attention Model for Cross-sectional Stock Return Prediction and End-to-End Multimodal Market Representation Learning	2018	Ran Zhao Yuntian Deng Mark Dredze Arun Kumar Verma David Rosenberg Amanda Stent
+	Bottom-Up Abstractive Summarization	2018	Sebastian Gehrmann Yuntian Deng Alexander M. Rush
+	OpenNMT: Open-source Toolkit for Neural Machine Translation	2017	Guillaume Klein Yoon Kim Yuntian Deng Jean Sénellart Alexander M. Rush
+	OpenNMT: Open-Source Toolkit for Neural Machine Translation	2017	Guillaume Klein Yoon Kim Yuntian Deng Jean Sénellart Alexander M. Rush
+	Neural Machine Translation with Recurrent Attention Modeling	2017	Zichao Yang Zhiting Hu Yuntian Deng Chris Dyer Alex Smola
+	OpenNMT: Open-Source Toolkit for Neural Machine Translation	2017	Guillaume Klein Yoon Kim Yuntian Deng Josep Crego Jean Sénellart Alexander M. Rush
+	OpenNMT: Open-source Toolkit for Neural Machine Translation	2017	Guillaume Klein Yoon Kim Yuntian Deng Josep Crego Jean Sénellart Alexander M. Rush
+	Dropout with Expectation-linear Regularization	2016	Xuezhe Ma Yingkai Gao Zhiting Hu Yaoliang Yu Yuntian Deng Eduard Hovy
+	What You Get Is What You See: A Visual Markup Decompiler.	2016	Yuntian Deng Anssi Kanervisto Alexander M. Rush
+	Learning Concept Taxonomies from Multi-modal Data	2016	Hao Zhang Zhiting Hu Yuntian Deng Mrinmaya Sachan Zhicheng Yan Eric P. Xing
+	Neural Machine Translation with Recurrent Attention Modeling	2016	Zichao Yang Zhiting Hu Yuntian Deng Chris Dyer Alex Smola
+	Image-to-Markup Generation with Coarse-to-Fine Attention	2016	Yuntian Deng Anssi Kanervisto Jeffrey Ling Alexander M. Rush
+ PDF Chat	Learning Concept Taxonomies from Multi-modal Data	2016	Hao Zhang Zhiting Hu Yuntian Deng Mrinmaya Sachan Zhicheng Yan Eric P. Xing
+	Dropout with Expectation-linear Regularization	2016	Xuezhe Ma Yingkai Gao Zhiting Hu Yaoliang Yu Yuntian Deng Eduard Hovy
+	Creating Scalable and Interactive Web Applications Using High Performance Latent Variable Models	2015	Aaron Q. Li Yuntian Deng Kublai Jing Joseph W. Robinson
+	Latent Variable Modeling with Diversity-Inducing Mutual Angular Regularization	2015	Pengtao Xie Yuntian Deng Eric P. Xing
+	On the Generalization Error Bounds of Neural Networks under Diversity-Inducing Mutual Angular Regularization	2015	Pengtao Xie Yuntian Deng Eric P. Xing
+	Creating Scalable and Interactive Web Applications Using High Performance Latent Variable Models	2015	Aaron Q Li Yuntian Deng Kublai Jing Joseph W Robinson

Common Coauthors

Coauthor	Papers Together
Alexander M. Rush	24
Yoon Kim	7
Guillaume Klein	6
Jean Sénellart	6
Zhiting Hu	6
Ness B. Shroff	6
Anton Bakhtin	5
Arthur Szlam	5
Myle Ott	5
Abhishek Gupta	4
Eric P. Xing	4
Marc’Aurelio Ranzato	4
Abhishek Gupta	3
Sam Gross	3
Shiping Shao	3
Volodymyr Kuleshov	3
Sebastian Gehrmann	3
John X. Morris	2
Chris Dyer	2
Jianfeng Gao	2
Zichao Yang	2
Ran Zhao	2
Mrinmaya Sachan	2
Alex Smola	2
Jiacheng Tang	2
Chandan Singh	2
Hao Zhang	2
Yaoliang Yu	2
Pengtao Xie	2
Josep Crego	2
Xuezhe Ma	2
Eduard Hovy	2
Mark Dredze	2
Zachary M. Ziegler	2
David M. Blei	2
Kublai Jing	2
Anssi Kanervisto	2
Stuart M. Shieber	2
Yingkai Gao	2
Arun Kumar Verma	2
Arnob Ghosh	2
Jianzong Pi	2
Zhicheng Yan	2
Amanda Stent	2
Xing-Yu Zhou	2
Vincent Nguyen	2
Keyon Vafa	2
Justin Chiu	2
David Rosenberg	1
Massimiliano Lupo Pasini	1

Commonly Cited References

Action	Title	Year	Authors	# of times referenced
+	Neural Machine Translation by Jointly Learning to Align and Translate	2015	Dzmitry Bahdanau Kyunghyun Cho Yoshua Bengio	10
+ PDF Chat	Effective Approaches to Attention-based Neural Machine Translation	2015	Thang Luong Hieu Pham Christopher D. Manning	8
+	Attention is All you Need	2017	Ashish Vaswani Noam Shazeer Niki Parmar Jakob Uszkoreit Llion Jones Aidan N. Gomez Łukasz Kaiser Illia Polosukhin	7
+	Sequence to Sequence Learning with Neural Networks	2014	Ilya Sutskever Oriol Vinyals Quoc V. Le	6
+ PDF Chat	Neural Machine Translation of Rare Words with Subword Units	2016	Rico Sennrich Barry Haddow Alexandra Birch	6
+	Google's Neural Machine Translation System: Bridging the Gap between Human and Machine Translation	2016	Yonghui Wu Mike Schuster Zhifeng Chen Quoc V. Le Mohammad Norouzi Wolfgang Macherey Maxim Krikun Yuan Cao Qin Gao Klaus Macherey	6
+	Generating Sentences from a Continuous Space	2016	Samuel R. Bowman Luke Vilnis Oriol Vinyals Andrew M. Dai Rafał Józefowicz Samy Bengio	5
+	A Neural Conversational Model	2015	Oriol Vinyals Quoc V. Le	4
+	Adversarially Regularized Autoencoders	2017	Junbo Zhao Yoon Kim Kelly Zhang Alexander M. Rush Yann LeCun	4
+	Listen, Attend and Spell	2015	William Chan Navdeep Jaitly Quoc V. Le Oriol Vinyals	4
+	Classical Structured Prediction Losses for Sequence to Sequence Learning	2018	Sergey Edunov Myle Ott Michael Auli David Grangier Marc’Aurelio Ranzato	4
+	Neural Machine Translation of Rare Words with Subword Units	2015	Rico Sennrich Barry Haddow Alexandra Birch	4
+	Neural Machine Translation by Jointly Learning to Align and Translate	2014	Dzmitry Bahdanau Kyunghyun Cho Yoshua Bengio	4
+	Empirical Evaluation of Gated Recurrent Neural Networks on Sequence Modeling	2014	Jun‐Young Chung Çaǧlar Gülçehre Kyunghyun Cho Yoshua Bengio	4
+ PDF Chat	Modeling Coverage for Neural Machine Translation	2016	Zhaopeng Tu Zhengdong Lu Yang Liu Xiaohua Liu Hang Li	4
+	RoBERTa: A Robustly Optimized BERT Pretraining Approach	2019	Yinhan Liu Myle Ott Naman Goyal Jingfei Du Mandar Joshi Danqi Chen Omer Levy Mike Lewis Luke Zettlemoyer Veselin Stoyanov	4
+ PDF Chat	A BCMP network approach to modeling and controlling autonomous mobility-on-demand systems	2018	Ramón Iglesias Federico Rossi Rick Zhang Marco Pavone	3
+ PDF Chat	Noise Contrastive Estimation and Negative Sampling for Conditional Models: Consistency and Statistical Efficiency	2018	Zhuang Ma Michael Collins	3
+ PDF Chat	Improved Training Of Neural Trans-Dimensional Random field Language Models with Dynamic Noise-Contrastive Estimation	2018	Bin Wang Zhijian Ou	3
+	From Softmax to Sparsemax: A Sparse Model of Attention and Multi-Label Classification	2016	André F. T. Martins Ramón Fernández Astudillo	3
+ PDF Chat	Aligning Books and Movies: Towards Story-Like Visual Explanations by Watching Movies and Reading Books	2015	Yukun Zhu Ryan Kiros Rich Zemel Ruslan Salakhutdinov Raquel Urtasun Antonio Torralba Sanja Fidler	3
+	Abstractive Text Summarization Using Sequence-to-Sequence RNNs and Beyond	2016	Ramesh Nallapati Bowen Zhou Cícero Nogueira dos Santos Çaǧlar Gülçehre Bing Xiang	3
+	Attention Is All You Need	2017	Ashish Vaswani Noam Shazeer Niki Parmar Jakob Uszkoreit Llion Jones Aidan N. Gomez Łukasz Kaiser Illia Polosukhin	3
+	Incorporating Copying Mechanism in Sequence-to-Sequence Learning	2016	Jiatao Gu Zhengdong Lu Hang Li Victor O. K. Li	3
+ PDF Chat	fairseq: A Fast, Extensible Toolkit for Sequence Modeling	2019	Myle Ott Sergey Edunov Alexei Baevski Angela Fan Sam Gross Nathan Ng David Grangier Michael Auli	3
+	Implicit Generation and Generalization in Energy-Based Models.	2019	Yilun Du Igor Mordatch	3
+ PDF Chat	Language modeling with neural trans-dimensional random fields	2017	Bin Wang Zhijian Ou	3
+	OpenNMT: Open-Source Toolkit for Neural Machine Translation	2017	Guillaume Klein Yoon Kim Yuntian Deng Jean Sénellart Alexander M. Rush	3
+ PDF Chat	Learning Neural Trans-Dimensional Random Field Language Models with Noise-Contrastive Estimation	2018	Bin Wang Zhijian Ou	3
+	Structured Attention Networks	2017	Yoon Kim Carl Denton Luong Hoang Alexander M. Rush	2
+	Sequence to Sequence Learning with Neural Networks	2014	Ilya Sutskever Oriol Vinyals Quoc V. Le	2
+	Challenges in Data-to-Document Generation	2017	Sam Wiseman Stuart M. Shieber Alexander M. Rush	2
+	Teaching Machines to Read and Comprehend	2015	Karl Moritz Hermann Tomáš Kočiský Edward Grefenstette Lasse Espeholt Will Kay Mustafa Suleyman Phil Blunsom	2
+	Show, Attend and Tell: Neural Image Caption Generation with Visual Attention	2015	Kelvin Xu Jimmy Ba Ryan Kiros Kyunghyun Cho Aaron Courville Ruslan Salakhutdinov Richard S. Zemel Yoshua Bengio	2
+	Improving neural networks by preventing co-adaptation of feature detectors	2012	Geoffrey E. Hinton Nitish Srivastava Alex Krizhevsky Ilya Sutskever Ruslan Salakhutdinov	2
+ PDF Chat	Open, Closed, and Mixed Networks of Queues with Different Classes of Customers	1975	Forest Baskett K. Mani Chandy Richard R. Muntz Fernando G. Palacios	2
+	Effective Strategies in Zero-Shot Neural Machine Translation	2017	Thanh-Le Ha Jan Niehues Alexander Waibel	2
+	Sockeye: A Toolkit for Neural Machine Translation.	2017	Felix Hieber Tobias Domhan Michael Denkowski David Vilar Artem Sokolov Ann Clifton Matt Post	2
+	Discriminator Rejection Sampling	2018	Samaneh Azadi Catherine Olsson Trevor Darrell Ian Goodfellow Augustus Odena	2
+	All of Statistics: A Concise Course in Statistical Inference	2012	Larry Wasserman	2
+	Linguistic Input Features Improve Neural Machine Translation	2016	Rico Sennrich Barry Haddow	2
+	Very Deep Convolutional Networks for Large-Scale Image Recognition	2014	Karen Simonyan Andrew Zisserman	2
+	What You Get Is What You See: A Visual Markup Decompiler.	2016	Yuntian Deng Anssi Kanervisto Alexander M. Rush	2
+	SYSTRAN's Pure Neural Machine Translation Systems	2016	Josep Crego Jun-Gi Kim Guillaume Klein Anabel Rebollo K. Yang Jean Sénellart Egor Akhanov Patrice Brunelle Aurélien Coquard Yongchao Deng	2
+	A Theory of Generative ConvNet	2016	Jianwen Xie Yang Lu Song‐Chun Zhu Ying Wu	2
+	Latent Variable Models and Factor Analysis	1989	Kikumi K. Tatsuoka David J. Bartholomew	2
+	A Neural Attention Model for Abstractive Sentence Summarization	2015	Alexander M. Rush Sumit Chopra Jason Weston	2
+	Some aspects of the sequential design of experiments	1952	Herbert Robbins	2
+	Pattern Recognition and Machine Learning	2007	Christopher Bishop	2
+ PDF Chat	Get To The Point: Summarization with Pointer-Generator Networks	2017	Abigail See Peter J. Liu Christopher D. Manning	2