Yuntian Deng

Publication Activity (10 Years)

Years Active: 2015-2024
Publications (10 Years): 63

Top Topics

Diffusion Model

Text Generation

Visual Attention Model

Top Venues

Publications

Bill Yuchen Lin, Yuntian Deng, Khyathi Raghavi Chandu, Faeze Brahman, Abhilasha Ravichander, Valentina Pyatkin, Nouha Dziri, Ronan Le Bras, Yejin Choi
WildBench: Benchmarking LLMs with Challenging Tasks from Real Users in the Wild. CoRR (2024)
Jinjie Ni, Fuzhao Xue, Xiang Yue, Yuntian Deng, Mahir Shah, Kabir Jain, Graham Neubig, Yang You
MixEval: Deriving Wisdom of the Crowd from LLM Benchmark Mixtures. CoRR (2024)
Wenting Zhao, Tanya Goyal, Yu Ying Chiu, Liwei Jiang, Benjamin Newman, Abhilasha Ravichander, Khyathi Raghavi Chandu, Ronan Le Bras, Claire Cardie, Yuntian Deng, Yejin Choi
WildHallucinations: Evaluating Long-form Factuality in LLMs with Real-World Entity Queries. CoRR (2024)
Wenting Zhao, Xiang Ren, Jack Hessel, Claire Cardie, Yejin Choi, Yuntian Deng
WildChat: 1M ChatGPT Interaction Logs in the Wild. CoRR (2024)
Yuntian Deng, Yejin Choi, Stuart M. Shieber
From Explicit CoT to Implicit CoT: Learning to Internalize CoT Step by Step. CoRR (2024)
Wenting Zhao, Xiang Ren, Jack Hessel, Claire Cardie, Yejin Choi, Yuntian Deng
WildChat: 1M ChatGPT Interaction Logs in the Wild. ICLR (2024)
Zhangchen Xu, Fengqing Jiang, Luyao Niu, Yuntian Deng, Radha Poovendran, Yejin Choi, Bill Yuchen Lin
Magpie: Alignment Data Synthesis from Scratch by Prompting Aligned LLMs with Nothing. CoRR (2024)
Richa Rastogi, Yair Schiff, Alon Hacohen, Zhaozhi Li, Ian Lee, Yuntian Deng, Mert R. Sabuncu, Volodymyr Kuleshov
Semi-Parametric Inducing Point Networks and Neural Processes. ICLR (2023)
John X. Morris, Chandan Singh, Alexander M. Rush, Jianfeng Gao, Yuntian Deng
Tree Prompting: Efficient Task Adaptation without Fine-Tuning. CoRR (2023)
Maxim Zvyagin, Alexander Brace, Kyle Hippe, Yuntian Deng, Bin Zhang, Cindy Orozco Bohorquez, Austin Clyde, Bharat Kale, Danilo Perez-Rivera, Heng Ma, Carla M. Mann, Michael W. Irvin, Defne G. Ozgulbas, Natalia Vassilieva, J. Gregory Pauloski, Logan Ward, Valerie Hayot-Sasson, Murali Emani, Sam Foreman, Zhen Xie, Diangen Lin, Maulik Shukla, Weili Nie, Josh Romero, Christian Dallago, Arash Vahdat, Chaowei Xiao, Thomas Gibbs, Ian T. Foster, James J. Davis, Michael E. Papka, Thomas S. Brettin, Rick Stevens, Anima Anandkumar, Venkatram Vishwanath, Arvind Ramanathan
GenSLMs: Genome-scale language models reveal SARS-CoV-2 evolutionary dynamics. Int. J. High Perform. Comput. Appl. 37 (6) (2023)
Yuntian Deng, Kiran Prasad, Roland Fernandez, Paul Smolensky, Vishrav Chaudhary, Stuart M. Shieber
Implicit Chain of Thought Reasoning via Knowledge Distillation. CoRR (2023)
Chandan Singh, John X. Morris, Alexander M. Rush, Jianfeng Gao, Yuntian Deng
Tree Prompting: Efficient Task Adaptation without Fine-Tuning. EMNLP (2023)
Yuntian Deng, Noriyuki Kojima, Alexander M. Rush
Markup-to-Image Diffusion Models with Scheduled Sampling. ICLR (2023)
Shuaiwen Leon Song, Bonnie Kruft, Minjia Zhang, Conglong Li, Shiyang Chen, Chengming Zhang, Masahiro Tanaka, Xiaoxia Wu, Jeff Rasley, Ammar Ahmad Awan, Connor Holmes, Martin Cai, Adam Ghanem, Zhongzhu Zhou, Yuxiong He, Pete Luferenko, Divya Kumar, Jonathan A. Weyn, Ruixiong Zhang, Sylwester Klocek, Volodymyr Vragov, Mohammed AlQuraishi, Gustaf Ahdritz, Christina Floristean, Cristina Negri, Rao Kotamarthi, Venkatram Vishwanath, Arvind Ramanathan, Sam Foreman, Kyle Hippe, Troy Arcomano, Romit Maulik, Maxim Zvyagin, Alexander Brace, Bin Zhang, Cindy Orozco Bohorquez, Austin Clyde, Bharat Kale, Danilo Perez-Rivera, Heng Ma, Carla M. Mann, Michael W. Irvin, J. Gregory Pauloski, Logan T. Ward, Valérie Hayot-Sasson, Murali Emani, Zhen Xie, Diangen Lin, Maulik Shukla, Ian T. Foster, James J. Davis, Michael E. Papka, Thomas S. Brettin, Prasanna Balaprakash, Gina Tourassi, John Gounley, Heidi A. Hanson, Thomas E. Potok, Massimiliano Lupo Pasini, Kate Evans, Dan Lu, Dalton D. Lunga, Junqi Yin, Sajal Dash, Feiyi Wang, Mallikarjun Shankar, Isaac Lyngaas, Xiao Wang, Guojing Cong, Pei Zhang, Ming Fan, Siyan Liu, Adolfy Hoisie, Shinjae Yoo, Yihui Ren, William Tang, Kyle Felker, Alexey Svyatkovskiy, Hang Liu, Ashwin M. Aji, Angela Dalton, Michael J. Schulte, Karl Schulz, Yuntian Deng, Weili Nie, Josh Romero, Christian Dallago, Arash Vahdat, Chaowei Xiao, Thomas Gibbs, Anima Anandkumar, Rick Stevens
DeepSpeed4Science Initiative: Enabling Large-Scale Scientific Discovery through Sophisticated AI System Technologies. CoRR (2023)
Yuntian Deng, Volodymyr Kuleshov, Alexander M. Rush
Model Criticism for Long-Form Text Generation. CoRR (2022)
Yuntian Deng, Xingyu Zhou, Arnob Ghosh, Abhishek Gupta, Ness B. Shroff
Interference Constrained Beam Alignment for Time-Varying Channels via Kernelized Bandits. WiOpt (2022)
Yuntian Deng, Noriyuki Kojima, Alexander M. Rush
Markup-to-Image Diffusion Models with Scheduled Sampling. CoRR (2022)
Yuntian Deng, Xingyu Zhou, Arnob Ghosh, Abhishek Gupta, Ness B. Shroff
Interference Constrained Beam Alignment for Time-Varying Channels via Kernelized Bandits. CoRR (2022)
Yuntian Deng, Volodymyr Kuleshov, Alexander M. Rush
Model Criticism for Long-Form Text Generation. EMNLP (2022)
Yuntian Deng, Xingyu Zhou, Baekjin Kim, Ambuj Tewari, Abhishek Gupta, Ness B. Shroff
Weighted Gaussian Process Bandits for Non-stationary Environments. AISTATS (2022)
Justin T. Chiu, Yuntian Deng, Alexander M. Rush
Low-Rank Constraints for Fast Inference in Structured Models. CoRR (2022)
Yuntian Deng, Abhishek Gupta, Ness B. Shroff
Fleet sizing and charger allocation in electric vehicle sharing systems. IFAC J. Syst. Control. 22 (2022)
Richa Rastogi, Yuntian Deng, Ian Lee, Mert R. Sabuncu, Volodymyr Kuleshov
Semi-Parametric Deep Neural Networks in Linear Time and Memory. CoRR (2022)
Anton Bakhtin, Yuntian Deng, Sam Gross, Myle Ott, Marc'Aurelio Ranzato, Arthur Szlam
Residual Energy-Based Models for Text. J. Mach. Learn. Res. 22 (2021)
Yuntian Deng, Xingyu Zhou, Baekjin Kim, Ambuj Tewari, Abhishek Gupta, Ness B. Shroff
Weighted Gaussian Process Bandits for Non-stationary Environments. CoRR (2021)
Yuntian Deng, Shiping Shao, Archak Mittal, Richard Twumasi-Boakye, James Fishelson, Abhishek Gupta, Ness B. Shroff
Incentive Design and Profit Sharing in Multi-modal Transportation Network. CoRR (2021)
Justin T. Chiu, Yuntian Deng, Alexander M. Rush
Low-Rank Constraints for Fast Inference in Structured Models. NeurIPS (2021)
Keyon Vafa, Yuntian Deng, David M. Blei, Alexander M. Rush
Rationales for Sequential Predictions. CoRR (2021)
Keyon Vafa, Yuntian Deng, David M. Blei, Alexander M. Rush
Rationales for Sequential Predictions. EMNLP (1) (2021)
Yuntian Deng, Alexander M. Rush
Sequence-to-Lattice Models for Fast Translation. EMNLP (Findings) (2021)
Yuntian Deng, Alexander M. Rush
Cascaded Text Generation with Markov Transformers. NeurIPS (2020)
Anton Bakhtin, Yuntian Deng, Sam Gross, Myle Ott, Marc'Aurelio Ranzato, Arthur Szlam
Energy-Based Models for Text. CoRR (2020)
Yuntian Deng, Abhishek Gupta, Ness B. Shroff
Fleet Sizing and Charger Allocation in Electric Vehicle Sharing Systems. CoRR (2020)
Yuntian Deng, Hao Chen, Shiping Shao, Jiacheng Tang, Jianzong Pi, Abhishek Gupta
Multi-Objective Vehicle Rebalancing for Ridehailing System using a Reinforcement Learning Approach. CoRR (2020)
Thierry Tambe, En-Yu Yang, Zishen Wan, Yuntian Deng, Vijay Janapa Reddi, Alexander M. Rush, David Brooks, Gu-Yeon Wei
Algorithm-Hardware Co-Design of Adaptive Floating-Point Encodings for Resilient Deep Learning Inference. DAC (2020)
Yuntian Deng, Anton Bakhtin, Myle Ott, Arthur Szlam, Marc'Aurelio Ranzato
Residual Energy-Based Models for Text Generation. ICLR (2020)
Yuntian Deng, Anton Bakhtin, Myle Ott, Arthur Szlam, Marc'Aurelio Ranzato
Residual Energy-Based Models for Text Generation. CoRR (2020)
Yuntian Deng, Alexander M. Rush
Cascaded Text Generation with Markov Transformers. CoRR (2020)
Zachary M. Ziegler, Yuntian Deng, Alexander M. Rush
Neural Linguistic Steganography. CoRR (2019)
Anton Bakhtin, Sam Gross, Myle Ott, Yuntian Deng, Marc'Aurelio Ranzato, Arthur Szlam
Real or Fake? Learning to Discriminate Machine from Human Generated Text. CoRR (2019)
Thierry Tambe, En-Yu Yang, Zishen Wan, Yuntian Deng, Vijay Janapa Reddi, Alexander M. Rush, David Brooks, Gu-Yeon Wei
AdaptivFloat: A Floating-point based Data Type for Resilient Deep Learning Inference. CoRR (2019)
Zachary M. Ziegler, Yuntian Deng, Alexander M. Rush
Neural Linguistic Steganography. EMNLP/IJCNLP (1) (2019)
Ran Zhao, Yuntian Deng, Mark Dredze, Arun Verma, David S. Rosenberg, Amanda Stent
Visual Attention Model for Cross-Sectional Stock Return Prediction and End-to-End Multimodal Market Representation Learning. FLAIRS Conference (2019)
Yuntian Deng, David S. Rosenberg, Gideon Mann
Challenges in End-to-End Neural Scientific Table Recognition. ICDAR (2019)
Yuntian Deng, Yoon Kim, Justin T. Chiu, Demi Guo, Alexander M. Rush
Latent Alignment and Variational Attention. CoRR (2018)
Guillaume Klein, Yoon Kim, Yuntian Deng, Vincent Nguyen, Jean Senellart, Alexander M. Rush
OpenNMT: Neural Machine Translation Toolkit. CoRR (2018)
Yuntian Deng, Yoon Kim, Justin T. Chiu, Demi Guo, Alexander M. Rush
Latent Alignment and Variational Attention. NeurIPS (2018)
Guillaume Klein, Yoon Kim, Yuntian Deng, Vincent Nguyen, Jean Senellart, Alexander M. Rush
OpenNMT: Neural Machine Translation Toolkit. AMTA (1) (2018)
Ran Zhao, Yuntian Deng, Mark Dredze, Arun Verma, David S. Rosenberg, Amanda Stent
Visual Attention Model for Cross-sectional Stock Return Prediction and End-to-End Multimodal Market Representation Learning. CoRR (2018)
Sebastian Gehrmann, Yuntian Deng, Alexander M. Rush
Bottom-Up Abstractive Summarization. EMNLP (2018)
Sebastian Gehrmann, Yuntian Deng, Alexander M. Rush
Bottom-Up Abstractive Summarization. CoRR (2018)
Xuezhe Ma, Yingkai Gao, Zhiting Hu, Yaoliang Yu, Yuntian Deng, Eduard H. Hovy
Dropout with Expectation-linear Regularization. ICLR (Poster) (2017)
Guillaume Klein, Yoon Kim, Yuntian Deng, Jean Senellart, Alexander M. Rush
OpenNMT: Open-Source Toolkit for Neural Machine Translation. CoRR (2017)
Guillaume Klein, Yoon Kim, Yuntian Deng, Jean Senellart, Alexander M. Rush
OpenNMT: Open-Source Toolkit for Neural Machine Translation. ACL (System Demonstrations) (2017)
Zichao Yang, Zhiting Hu, Yuntian Deng, Chris Dyer, Alexander J. Smola
Neural Machine Translation with Recurrent Attention Modeling. EACL (2) (2017)
Yuntian Deng, Anssi Kanervisto, Jeffrey Ling, Alexander M. Rush
Image-to-Markup Generation with Coarse-to-Fine Attention. ICML (2017)
Guillaume Klein, Yoon Kim, Yuntian Deng, Josep Maria Crego, Jean Senellart, Alexander M. Rush
OpenNMT: Open-source Toolkit for Neural Machine Translation. CoRR (2017)
Pengtao Xie, Yuntian Deng, Yi Zhou, Abhimanu Kumar, Yaoliang Yu, James Zou, Eric P. Xing
Learning Latent Space Models with Angular Constraints. ICML (2017)
Yuntian Deng, Anssi Kanervisto, Alexander M. Rush
What You Get Is What You See: A Visual Markup Decompiler. CoRR (2016)
Hao Zhang, Zhiting Hu, Yuntian Deng, Mrinmaya Sachan, Zhicheng Yan, Eric P. Xing
Learning Concept Taxonomies from Multi-modal Data. ACL (1) (2016)
Zichao Yang, Zhiting Hu, Yuntian Deng, Chris Dyer, Alexander J. Smola
Neural Machine Translation with Recurrent Attention Modeling. CoRR (2016)
Hao Zhang, Zhiting Hu, Yuntian Deng, Mrinmaya Sachan, Zhicheng Yan, Eric P. Xing
Learning Concept Taxonomies from Multi-modal Data. CoRR (2016)
Xuezhe Ma, Yingkai Gao, Zhiting Hu, Yaoliang Yu, Yuntian Deng, Eduard H. Hovy
Dropout with Expectation-linear Regularization. CoRR (2016)
Pengtao Xie, Yuntian Deng, Eric P. Xing
On the Generalization Error Bounds of Neural Networks under Diversity-Inducing Mutual Angular Regularization. CoRR (2015)
Pengtao Xie, Yuntian Deng, Eric P. Xing
Latent Variable Modeling with Diversity-Inducing Mutual Angular Regularization. CoRR (2015)
Zhiting Hu, Poyao Huang, Yuntian Deng, Yingkai Gao, Eric P. Xing
Entity Hierarchy Embedding. ACL (1) (2015)
Aaron Q. Li, Yuntian Deng, Kublai Jing, Joseph W. Robinson
Creating Scalable and Interactive Web Applications Using High Performance Latent Variable Models. CoRR (2015)
Pengtao Xie, Yuntian Deng, Eric P. Xing
Diversifying Restricted Boltzmann Machine for Document Modeling. KDD (2015)