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Yuntian Deng
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2020 – today
- 2024
- [c27]Wenting Zhao, Xiang Ren, Jack Hessel, Claire Cardie, Yejin Choi, Yuntian Deng:
WildChat: 1M ChatGPT Interaction Logs in the Wild. ICLR 2024 - [i39]Wenting Zhao, Xiang Ren, Jack Hessel, Claire Cardie, Yejin Choi, Yuntian Deng:
WildChat: 1M ChatGPT Interaction Logs in the Wild. CoRR abs/2405.01470 (2024) - [i38]Yuntian Deng, Yejin Choi, Stuart M. Shieber:
From Explicit CoT to Implicit CoT: Learning to Internalize CoT Step by Step. CoRR abs/2405.14838 (2024) - [i37]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 abs/2406.04770 (2024) - [i36]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 abs/2406.06565 (2024) - [i35]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 abs/2406.08464 (2024) - [i34]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 abs/2407.17468 (2024) - [i33]Yuntian Deng, Wenting Zhao, Jack Hessel, Xiang Ren, Claire Cardie, Yejin Choi:
WildVis: Open Source Visualizer for Million-Scale Chat Logs in the Wild. CoRR abs/2409.03753 (2024) - 2023
- [j3]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
GenSLMs: Genome-scale language models reveal SARS-CoV-2 evolutionary dynamics. Int. J. High Perform. Comput. Appl. 37(6): 683-705 (2023) - [c26]Chandan Singh, John X. Morris, Alexander M. Rush, Jianfeng Gao, Yuntian Deng:
Tree Prompting: Efficient Task Adaptation without Fine-Tuning. EMNLP 2023: 6253-6267 - [c25]Yuntian Deng, Noriyuki Kojima, Alexander M. Rush:
Markup-to-Image Diffusion Models with Scheduled Sampling. ICLR 2023 - [c24]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 - [i32]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
DeepSpeed4Science Initiative: Enabling Large-Scale Scientific Discovery through Sophisticated AI System Technologies. CoRR abs/2310.04610 (2023) - [i31]John X. Morris, Chandan Singh, Alexander M. Rush, Jianfeng Gao, Yuntian Deng:
Tree Prompting: Efficient Task Adaptation without Fine-Tuning. CoRR abs/2310.14034 (2023) - [i30]Yuntian Deng, Kiran Prasad, Roland Fernandez, Paul Smolensky, Vishrav Chaudhary, Stuart M. Shieber:
Implicit Chain of Thought Reasoning via Knowledge Distillation. CoRR abs/2311.01460 (2023) - 2022
- [j2]Yuntian Deng
Fleet sizing and charger allocation in electric vehicle sharing systems. IFAC J. Syst. Control. 22: 100210 (2022) - [c23]Yuntian Deng, Xingyu Zhou, Baekjin Kim, Ambuj Tewari, Abhishek Gupta, Ness B. Shroff:
Weighted Gaussian Process Bandits for Non-stationary Environments. AISTATS 2022: 6909-6932 - [c22]Yuntian Deng, Volodymyr Kuleshov, Alexander M. Rush:
Model Criticism for Long-Form Text Generation. EMNLP 2022: 11887-11912 - [c21]Yuntian Deng, Xingyu Zhou, Arnob Ghosh, Abhishek Gupta, Ness B. Shroff:
Interference Constrained Beam Alignment for Time-Varying Channels via Kernelized Bandits. WiOpt 2022: 25-32 - [i29]Justin T. Chiu, Yuntian Deng, Alexander M. Rush:
Low-Rank Constraints for Fast Inference in Structured Models. CoRR abs/2201.02715 (2022) - [i28]Richa Rastogi
Semi-Parametric Deep Neural Networks in Linear Time and Memory. CoRR abs/2205.11718 (2022) - [i27]Yuntian Deng, Xingyu Zhou, Arnob Ghosh, Abhishek Gupta, Ness B. Shroff:
Interference Constrained Beam Alignment for Time-Varying Channels via Kernelized Bandits. CoRR abs/2207.00908 (2022) - [i26]Yuntian Deng, Noriyuki Kojima, Alexander M. Rush:
Markup-to-Image Diffusion Models with Scheduled Sampling. CoRR abs/2210.05147 (2022) - [i25]Yuntian Deng, Volodymyr Kuleshov, Alexander M. Rush:
Model Criticism for Long-Form Text Generation. CoRR abs/2210.08444 (2022) - 2021
- [j1]Anton Bakhtin, Yuntian Deng, Sam Gross, Myle Ott, Marc'Aurelio Ranzato, Arthur Szlam:
Residual Energy-Based Models for Text. J. Mach. Learn. Res. 22: 40:1-40:41 (2021) - [c20]Yuntian Deng, Alexander M. Rush
Sequence-to-Lattice Models for Fast Translation. EMNLP (Findings) 2021: 3765-3772 - [c19]Keyon Vafa, Yuntian Deng, David M. Blei, Alexander M. Rush
Rationales for Sequential Predictions. EMNLP (1) 2021: 10314-10332 - [c18]Justin T. Chiu, Yuntian Deng, Alexander M. Rush:
Low-Rank Constraints for Fast Inference in Structured Models. NeurIPS 2021: 2887-2898 - [i24]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 abs/2101.03297 (2021) - [i23]Yuntian Deng, Xingyu Zhou, Baekjin Kim, Ambuj Tewari, Abhishek Gupta, Ness B. Shroff:
Weighted Gaussian Process Bandits for Non-stationary Environments. CoRR abs/2107.02371 (2021) - [i22]Keyon Vafa, Yuntian Deng, David M. Blei, Alexander M. Rush:
Rationales for Sequential Predictions. CoRR abs/2109.06387 (2021) - 2020
- [c17]Thierry Tambe
Algorithm-Hardware Co-Design of Adaptive Floating-Point Encodings for Resilient Deep Learning Inference. DAC 2020: 1-6 - [c16]Yuntian Deng, Anton Bakhtin, Myle Ott, Arthur Szlam, Marc'Aurelio Ranzato:
Residual Energy-Based Models for Text Generation. ICLR 2020 - [c15]Yuntian Deng, Alexander M. Rush
Cascaded Text Generation with Markov Transformers. NeurIPS 2020 - [i21]Anton Bakhtin, Yuntian Deng, Sam Gross, Myle Ott, Marc'Aurelio Ranzato, Arthur Szlam:
Energy-Based Models for Text. CoRR abs/2004.10188 (2020) - [i20]Yuntian Deng, Anton Bakhtin, Myle Ott, Arthur Szlam, Marc'Aurelio Ranzato:
Residual Energy-Based Models for Text Generation. CoRR abs/2004.11714 (2020) - [i19]Yuntian Deng, Alexander M. Rush:
Cascaded Text Generation with Markov Transformers. CoRR abs/2006.01112 (2020) - [i18]Yuntian Deng, Abhishek Gupta, Ness B. Shroff:
Fleet Sizing and Charger Allocation in Electric Vehicle Sharing Systems. CoRR abs/2007.06687 (2020) - [i17]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 abs/2007.06801 (2020)
2010 – 2019
- 2019
- [c14]Zachary M. Ziegler, Yuntian Deng, Alexander M. Rush
Neural Linguistic Steganography. EMNLP/IJCNLP (1) 2019: 1210-1215 - [c13]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 2019: 98-103 - [c12]Yuntian Deng, David S. Rosenberg, Gideon Mann:
Challenges in End-to-End Neural Scientific Table Recognition. ICDAR 2019: 894-901 - [i16]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 abs/1906.03351 (2019) - [i15]Zachary M. Ziegler, Yuntian Deng, Alexander M. Rush:
Neural Linguistic Steganography. CoRR abs/1909.01496 (2019) - [i14]Thierry Tambe, En-Yu Yang, Zishen Wan
AdaptivFloat: A Floating-point based Data Type for Resilient Deep Learning Inference. CoRR abs/1909.13271 (2019) - 2018
- [c11]Guillaume Klein, Yoon Kim, Yuntian Deng, Vincent Nguyen, Jean Senellart, Alexander M. Rush
OpenNMT: Neural Machine Translation Toolkit. AMTA (1) 2018: 177-184 - [c10]Sebastian Gehrmann, Yuntian Deng, Alexander M. Rush
Bottom-Up Abstractive Summarization. EMNLP 2018: 4098-4109 - [c9]Yuntian Deng, Yoon Kim, Justin T. Chiu, Demi Guo, Alexander M. Rush
Latent Alignment and Variational Attention. NeurIPS 2018: 9735-9747 - [i13]Guillaume Klein, Yoon Kim, Yuntian Deng, Vincent Nguyen, Jean Senellart, Alexander M. Rush:
OpenNMT: Neural Machine Translation Toolkit. CoRR abs/1805.11462 (2018) - [i12]Yuntian Deng, Yoon Kim, Justin T. Chiu, Demi Guo, Alexander M. Rush:
Latent Alignment and Variational Attention. CoRR abs/1807.03756 (2018) - [i11]Sebastian Gehrmann, Yuntian Deng, Alexander M. Rush:
Bottom-Up Abstractive Summarization. CoRR abs/1808.10792 (2018) - [i10]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 abs/1809.03684 (2018) - 2017
- [c8]Guillaume Klein, Yoon Kim, Yuntian Deng, Jean Senellart, Alexander M. Rush
OpenNMT: Open-Source Toolkit for Neural Machine Translation. ACL (System Demonstrations) 2017: 67-72 - [c7]Zichao Yang, Zhiting Hu, Yuntian Deng, Chris Dyer, Alexander J. Smola:
Neural Machine Translation with Recurrent Attention Modeling. EACL (2) 2017: 383-387 - [c6]Xuezhe Ma, Yingkai Gao, Zhiting Hu, Yaoliang Yu, Yuntian Deng, Eduard H. Hovy:
Dropout with Expectation-linear Regularization. ICLR (Poster) 2017 - [c5]Yuntian Deng, Anssi Kanervisto, Jeffrey Ling, Alexander M. Rush
Image-to-Markup Generation with Coarse-to-Fine Attention. ICML 2017: 980-989 - [c4]Pengtao Xie, Yuntian Deng, Yi Zhou, Abhimanu Kumar, Yaoliang Yu, James Zou, Eric P. Xing:
Learning Latent Space Models with Angular Constraints. ICML 2017: 3799-3810 - [i9]Guillaume Klein, Yoon Kim, Yuntian Deng, Jean Senellart, Alexander M. Rush:
OpenNMT: Open-Source Toolkit for Neural Machine Translation. CoRR abs/1701.02810 (2017) - [i8]Guillaume Klein, Yoon Kim, Yuntian Deng, Josep Maria Crego, Jean Senellart, Alexander M. Rush:
OpenNMT: Open-source Toolkit for Neural Machine Translation. CoRR abs/1709.03815 (2017) - 2016
- [c3]Hao Zhang, Zhiting Hu, Yuntian Deng, Mrinmaya Sachan, Zhicheng Yan, Eric P. Xing:
Learning Concept Taxonomies from Multi-modal Data. ACL (1) 2016 - [i7]Hao Zhang, Zhiting Hu, Yuntian Deng, Mrinmaya Sachan, Zhicheng Yan, Eric P. Xing:
Learning Concept Taxonomies from Multi-modal Data. CoRR abs/1606.09239 (2016) - [i6]Zichao Yang, Zhiting Hu, Yuntian Deng, Chris Dyer, Alexander J. Smola:
Neural Machine Translation with Recurrent Attention Modeling. CoRR abs/1607.05108 (2016) - [i5]Yuntian Deng, Anssi Kanervisto, Alexander M. Rush:
What You Get Is What You See: A Visual Markup Decompiler. CoRR abs/1609.04938 (2016) - [i4]Xuezhe Ma, Yingkai Gao, Zhiting Hu, Yaoliang Yu, Yuntian Deng, Eduard H. Hovy:
Dropout with Expectation-linear Regularization. CoRR abs/1609.08017 (2016) - 2015
- [c2]Zhiting Hu, Poyao Huang, Yuntian Deng, Yingkai Gao, Eric P. Xing:
Entity Hierarchy Embedding. ACL (1) 2015: 1292-1300 - [c1]Pengtao Xie, Yuntian Deng, Eric P. Xing:
Diversifying Restricted Boltzmann Machine for Document Modeling. KDD 2015: 1315-1324 - [i3]Aaron Q. Li, Yuntian Deng, Kublai Jing, Joseph W. Robinson:
Creating Scalable and Interactive Web Applications Using High Performance Latent Variable Models. CoRR abs/1510.06153 (2015) - [i2]Pengtao Xie, Yuntian Deng, Eric P. Xing:
On the Generalization Error Bounds of Neural Networks under Diversity-Inducing Mutual Angular Regularization. CoRR abs/1511.07110 (2015) - [i1]Pengtao Xie, Yuntian Deng, Eric P. Xing:
Latent Variable Modeling with Diversity-Inducing Mutual Angular Regularization. CoRR abs/1512.07336 (2015)
Coauthor Index
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last updated on 2024-11-18 20:41 CET by the dblp team
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