Yuntian Deng - RankMe

87 papers A* 19A 2B 1Misc 1Journal 52Unranked 12

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Emerging Extrinsic Dexterity in Cluttered Scenes via Dynamics-aware Policy Learning. CoRR Yixin Zheng, Jiangran Lyu, Yifan Zhang, Jiayi Chen, Mi Yan, Yuntian Deng, Xuesong Shi, Xiaoguang Zhao, Yizhou Wang, Zhizheng Zhang, He Wang
2025	A*	`conf`	From Chat Logs to Collective Insights: Aggregative Question Answering. EMNLP Wentao Zhang, Woojeong Kim, Yuntian Deng
2025	J	`jnl`	From Chat Logs to Collective Insights: Aggregative Question Answering. CoRR Wentao Zhang, Woojeong Kim, Yuntian Deng
2025	—	`conf`	Interactive Training: Feedback-Driven Neural Network Optimization. EMNLP (System Demonstrations) Wentao Zhang, Yang Young Lu, Yuntian Deng
2025	J	`jnl`	Interactive Training: Feedback-Driven Neural Network Optimization. CoRR Wentao Zhang, Yang Young Lu, Yuntian Deng
2025	J	`jnl`	Learn to Reason Efficiently with Adaptive Length-based Reward Shaping. CoRR Wei Liu, Ruochen Zhou, Yiyun Deng, Yuzhen Huang, Junteng Liu, Yuntian Deng, Yizhe Zhang, Junxian He
2025	J	`jnl`	Long Grounded Thoughts: Distilling Compositional Visual Reasoning Chains at Scale. CoRR David Acuna, Chao-Han Huck Yang, Yuntian Deng, Jaehun Jung, Ximing Lu, Prithviraj Ammanabrolu, Hyunwoo Kim, Yuan-Hong Liao, Yejin Choi
2025	A*	`conf`	Magpie: Alignment Data Synthesis from Scratch by Prompting Aligned LLMs with Nothing. ICLR Zhangchen Xu, Fengqing Jiang, Luyao Niu, Yuntian Deng, Radha Poovendran, Yejin Choi, Bill Yuchen Lin
2025	—	`conf`	Mix-of-Language-Experts Architecture for Multilingual Programming. LLM4Code@ICSE Yifan Zong, Yuntian Deng, Pengyu Nie
2025	J	`jnl`	Mix-of-Language-Experts Architecture for Multilingual Programming. CoRR Yifan Zong, Yuntian Deng, Pengyu Nie
2025	A*	`conf`	MixEval-X: Any-to-any Evaluations from Real-world Data Mixture. ICLR Jinjie Ni, Yifan Song, Deepanway Ghosal, Bo Li, David Junhao Zhang, Xiang Yue, Fuzhao Xue, Yuntian Deng, Zian Zheng, Kaichen Zhang, Mahir Shah, Kabir Jain, Yang You, Michael Shieh
2025	J	`jnl`	NeuralOS: Towards Simulating Operating Systems via Neural Generative Models. CoRR Luke Rivard, Sun Sun, Hongyu Guo, Wenhu Chen, Yuntian Deng
2025	J	`jnl`	The Leaderboard Illusion. CoRR Shivalika Singh, Yiyang Nan, Alex Wang, Daniel D'souza, Sayash Kapoor, Ahmet Üstün, Sanmi Koyejo, Yuntian Deng, Shayne Longpre, Noah Smith, Beyza Ermis, Marzieh Fadaee, Sara Hooker
2025	J	`jnl`	TokDrift: When LLM Speaks in Subwords but Code Speaks in Grammar. CoRR Yinxi Li, Yuntian Deng, Pengyu Nie
2025	J	`jnl`	Why Can't Transformers Learn Multiplication? Reverse-Engineering Reveals Long-Range Dependency Pitfalls. CoRR Xiaoyan Bai, Itamar Pres, Yuntian Deng, Chenhao Tan, Stuart M. Shieber, Fernanda B. Viégas, Martin Wattenberg, Andrew Lee
2025	A*	`conf`	WildBench: Benchmarking LLMs with Challenging Tasks from Real Users in the Wild. ICLR Bill Yuchen Lin, Yuntian Deng, Khyathi Raghavi Chandu, Abhilasha Ravichander, Valentina Pyatkin, Nouha Dziri, Ronan Le Bras, Yejin Choi
2024	J	`jnl`	From Explicit CoT to Implicit CoT: Learning to Internalize CoT Step by Step. CoRR Yuntian Deng, Yejin Choi, Stuart M. Shieber
2024	J	`jnl`	Magpie: Alignment Data Synthesis from Scratch by Prompting Aligned LLMs with Nothing. CoRR Zhangchen Xu, Fengqing Jiang, Luyao Niu, Yuntian Deng, Radha Poovendran, Yejin Choi, Bill Yuchen Lin
2024	A*	`conf`	MixEval: Deriving Wisdom of the Crowd from LLM Benchmark Mixtures. NeurIPS Jinjie Ni, Fuzhao Xue, Xiang Yue, Yuntian Deng, Mahir Shah, Kabir Jain, Graham Neubig, Yang You
2024	J	`jnl`	MixEval: Deriving Wisdom of the Crowd from LLM Benchmark Mixtures. CoRR Jinjie Ni, Fuzhao Xue, Xiang Yue, Yuntian Deng, Mahir Shah, Kabir Jain, Graham Neubig, Yang You
2024	J	`jnl`	WildBench: Benchmarking LLMs with Challenging Tasks from Real Users in the Wild. CoRR Bill Yuchen Lin, Yuntian Deng, Khyathi Raghavi Chandu, Faeze Brahman, Abhilasha Ravichander, Valentina Pyatkin, Nouha Dziri, Ronan Le Bras, Yejin Choi
2024	A*	`conf`	WildChat: 1M ChatGPT Interaction Logs in the Wild. ICLR Wenting Zhao, Xiang Ren, Jack Hessel, Claire Cardie, Yejin Choi, Yuntian Deng
2024	J	`jnl`	WildChat: 1M ChatGPT Interaction Logs in the Wild. CoRR Wenting Zhao, Xiang Ren, Jack Hessel, Claire Cardie, Yejin Choi, Yuntian Deng
2024	J	`jnl`	WildHallucinations: Evaluating Long-form Factuality in LLMs with Real-World Entity Queries. CoRR 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
2024	—	`conf`	WildVis: Open Source Visualizer for Million-Scale Chat Logs in the Wild. EMNLP (System Demonstrations) Yuntian Deng, Wenting Zhao, Jack Hessel, Xiang Ren, Claire Cardie, Yejin Choi
2024	J	`jnl`	WildVis: Open Source Visualizer for Million-Scale Chat Logs in the Wild. CoRR Yuntian Deng, Wenting Zhao, Jack Hessel, Xiang Ren, Claire Cardie, Yejin Choi
2023	J	`jnl`	DeepSpeed4Science Initiative: Enabling Large-Scale Scientific Discovery through Sophisticated AI System Technologies. CoRR 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 W. Schulz, Yuntian Deng, Weili Nie, Josh Romero, Christian Dallago, Arash Vahdat, Chaowei Xiao, Thomas Gibbs, Anima Anandkumar, Rick Stevens
2023	J	`jnl`	GenSLMs: Genome-scale language models reveal SARS-CoV-2 evolutionary dynamics. Int. J. High Perform. Comput. Appl. 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 T. Ward, Valérie 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
2023	J	`jnl`	Implicit Chain of Thought Reasoning via Knowledge Distillation. CoRR Yuntian Deng, Kiran Prasad, Roland Fernandez, Paul Smolensky, Vishrav Chaudhary, Stuart M. Shieber
2023	A*	`conf`	Markup-to-Image Diffusion Models with Scheduled Sampling. ICLR Yuntian Deng, Noriyuki Kojima, Alexander M. Rush
2023	A*	`conf`	Semi-Parametric Inducing Point Networks and Neural Processes. ICLR Richa Rastogi, Yair Schiff, Alon Hacohen, Zhaozhi Li, Ian Lee, Yuntian Deng, Mert R. Sabuncu, Volodymyr Kuleshov
2023	A*	`conf`	Tree Prompting: Efficient Task Adaptation without Fine-Tuning. EMNLP Chandan Singh, John X. Morris, Alexander M. Rush, Jianfeng Gao, Yuntian Deng
2023	J	`jnl`	Tree Prompting: Efficient Task Adaptation without Fine-Tuning. CoRR John X. Morris, Chandan Singh, Alexander M. Rush, Jianfeng Gao, Yuntian Deng
2022	J	`jnl`	Fleet sizing and charger allocation in electric vehicle sharing systems. IFAC J. Syst. Control. Yuntian Deng, Abhishek Gupta, Ness B. Shroff
2022	B	`conf`	Interference Constrained Beam Alignment for Time-Varying Channels via Kernelized Bandits. WiOpt Yuntian Deng, Xingyu Zhou, Arnob Ghosh, Abhishek Gupta, Ness B. Shroff
2022	J	`jnl`	Interference Constrained Beam Alignment for Time-Varying Channels via Kernelized Bandits. CoRR Yuntian Deng, Xingyu Zhou, Arnob Ghosh, Abhishek Gupta, Ness B. Shroff
2022	J	`jnl`	Low-Rank Constraints for Fast Inference in Structured Models. CoRR Justin T. Chiu, Yuntian Deng, Alexander M. Rush
2022	J	`jnl`	Markup-to-Image Diffusion Models with Scheduled Sampling. CoRR Yuntian Deng, Noriyuki Kojima, Alexander M. Rush
2022	A*	`conf`	Model Criticism for Long-Form Text Generation. EMNLP Yuntian Deng, Volodymyr Kuleshov, Alexander M. Rush
2022	J	`jnl`	Model Criticism for Long-Form Text Generation. CoRR Yuntian Deng, Volodymyr Kuleshov, Alexander M. Rush
2022	J	`jnl`	Semi-Parametric Deep Neural Networks in Linear Time and Memory. CoRR Richa Rastogi, Yuntian Deng, Ian Lee, Mert R. Sabuncu, Volodymyr Kuleshov
2022	A	`conf`	Weighted Gaussian Process Bandits for Non-stationary Environments. AISTATS Yuntian Deng, Xingyu Zhou, Baekjin Kim, Ambuj Tewari, Abhishek Gupta, Ness B. Shroff
2021	J	`jnl`	Incentive Design and Profit Sharing in Multi-modal Transportation Network. CoRR Yuntian Deng, Shiping Shao, Archak Mittal, Richard Twumasi-Boakye, James Fishelson, Abhishek Gupta, Ness B. Shroff
2021	A*	`conf`	Low-Rank Constraints for Fast Inference in Structured Models. NeurIPS Justin T. Chiu, Yuntian Deng, Alexander M. Rush
2021	—	`conf`	Rationales for Sequential Predictions. EMNLP (1) Keyon Vafa, Yuntian Deng, David M. Blei, Alexander M. Rush
2021	J	`jnl`	Rationales for Sequential Predictions. CoRR Keyon Vafa, Yuntian Deng, David M. Blei, Alexander M. Rush
2021	J	`jnl`	Residual Energy-Based Models for Text. J. Mach. Learn. Res. Anton Bakhtin, Yuntian Deng, Sam Gross, Myle Ott, Marc'Aurelio Ranzato, Arthur Szlam
2021	—	`conf`	Sequence-to-Lattice Models for Fast Translation. EMNLP (Findings) Yuntian Deng, Alexander M. Rush
2021	J	`jnl`	Weighted Gaussian Process Bandits for Non-stationary Environments. CoRR Yuntian Deng, Xingyu Zhou, Baekjin Kim, Ambuj Tewari, Abhishek Gupta, Ness B. Shroff
2020	A*	`conf`	Algorithm-Hardware Co-Design of Adaptive Floating-Point Encodings for Resilient Deep Learning Inference. DAC Thierry Tambe, En-Yu Yang, Zishen Wan, Yuntian Deng, Vijay Janapa Reddi, Alexander M. Rush, David Brooks, Gu-Yeon Wei
2020	A*	`conf`	Cascaded Text Generation with Markov Transformers. NeurIPS Yuntian Deng, Alexander M. Rush
2020	J	`jnl`	Cascaded Text Generation with Markov Transformers. CoRR Yuntian Deng, Alexander M. Rush
2020	J	`jnl`	Energy-Based Models for Text. CoRR Anton Bakhtin, Yuntian Deng, Sam Gross, Myle Ott, Marc'Aurelio Ranzato, Arthur Szlam
2020	J	`jnl`	Fleet Sizing and Charger Allocation in Electric Vehicle Sharing Systems. CoRR Yuntian Deng, Abhishek Gupta, Ness B. Shroff
2020	J	`jnl`	Multi-Objective Vehicle Rebalancing for Ridehailing System using a Reinforcement Learning Approach. CoRR Yuntian Deng, Hao Chen, Shiping Shao, Jiacheng Tang, Jianzong Pi, Abhishek Gupta
2020	A*	`conf`	Residual Energy-Based Models for Text Generation. ICLR Yuntian Deng, Anton Bakhtin, Myle Ott, Arthur Szlam, Marc'Aurelio Ranzato
2020	J	`jnl`	Residual Energy-Based Models for Text Generation. CoRR Yuntian Deng, Anton Bakhtin, Myle Ott, Arthur Szlam, Marc'Aurelio Ranzato
2019	J	`jnl`	AdaptivFloat: A Floating-point based Data Type for Resilient Deep Learning Inference. CoRR Thierry Tambe, En-Yu Yang, Zishen Wan, Yuntian Deng, Vijay Janapa Reddi, Alexander M. Rush, David Brooks, Gu-Yeon Wei
2019	A	`conf`	Challenges in End-to-End Neural Scientific Table Recognition. ICDAR Yuntian Deng, David S. Rosenberg, Gideon Mann
2019	—	`conf`	Neural Linguistic Steganography. EMNLP/IJCNLP (1) Zachary M. Ziegler, Yuntian Deng, Alexander M. Rush
2019	J	`jnl`	Neural Linguistic Steganography. CoRR Zachary M. Ziegler, Yuntian Deng, Alexander M. Rush
2019	J	`jnl`	Real or Fake? Learning to Discriminate Machine from Human Generated Text. CoRR Anton Bakhtin, Sam Gross, Myle Ott, Yuntian Deng, Marc'Aurelio Ranzato, Arthur Szlam
2019	Misc	`conf`	Visual Attention Model for Cross-Sectional Stock Return Prediction and End-to-End Multimodal Market Representation Learning. FLAIRS Ran Zhao, Yuntian Deng, Mark Dredze, Arun Verma, David S. Rosenberg, Amanda Stent
2018	A*	`conf`	Bottom-Up Abstractive Summarization. EMNLP Sebastian Gehrmann, Yuntian Deng, Alexander M. Rush
2018	J	`jnl`	Bottom-Up Abstractive Summarization. CoRR Sebastian Gehrmann, Yuntian Deng, Alexander M. Rush
2018	A*	`conf`	Latent Alignment and Variational Attention. NeurIPS Yuntian Deng, Yoon Kim, Justin T. Chiu, Demi Guo, Alexander M. Rush
2018	J	`jnl`	Latent Alignment and Variational Attention. CoRR Yuntian Deng, Yoon Kim, Justin T. Chiu, Demi Guo, Alexander M. Rush
2018	—	`conf`	OpenNMT: Neural Machine Translation Toolkit. AMTA (1) Guillaume Klein, Yoon Kim, Yuntian Deng, Vincent Nguyen, Jean Senellart, Alexander M. Rush
2018	J	`jnl`	OpenNMT: Neural Machine Translation Toolkit. CoRR Guillaume Klein, Yoon Kim, Yuntian Deng, Vincent Nguyen, Jean Senellart, Alexander M. Rush
2018	J	`jnl`	Visual Attention Model for Cross-sectional Stock Return Prediction and End-to-End Multimodal Market Representation Learning. CoRR Ran Zhao, Yuntian Deng, Mark Dredze, Arun Verma, David S. Rosenberg, Amanda Stent
2017	—	`conf`	Dropout with Expectation-linear Regularization. ICLR (Poster) Xuezhe Ma, Yingkai Gao, Zhiting Hu, Yaoliang Yu, Yuntian Deng, Eduard H. Hovy
2017	A*	`conf`	Image-to-Markup Generation with Coarse-to-Fine Attention. ICML Yuntian Deng, Anssi Kanervisto, Jeffrey Ling, Alexander M. Rush
2017	A*	`conf`	Learning Latent Space Models with Angular Constraints. ICML Pengtao Xie, Yuntian Deng, Yi Zhou, Abhimanu Kumar, Yaoliang Yu, James Zou, Eric P. Xing
2017	—	`conf`	Neural Machine Translation with Recurrent Attention Modeling. EACL (2) Zichao Yang, Zhiting Hu, Yuntian Deng, Chris Dyer, Alexander J. Smola
2017	—	`conf`	OpenNMT: Open-Source Toolkit for Neural Machine Translation. ACL (System Demonstrations) Guillaume Klein, Yoon Kim, Yuntian Deng, Jean Senellart, Alexander M. Rush
2017	J	`jnl`	OpenNMT: Open-Source Toolkit for Neural Machine Translation. CoRR Guillaume Klein, Yoon Kim, Yuntian Deng, Jean Senellart, Alexander M. Rush
2017	J	`jnl`	OpenNMT: Open-source Toolkit for Neural Machine Translation. CoRR Guillaume Klein, Yoon Kim, Yuntian Deng, Josep Maria Crego, Jean Senellart, Alexander M. Rush
2016	J	`jnl`	Dropout with Expectation-linear Regularization. CoRR Xuezhe Ma, Yingkai Gao, Zhiting Hu, Yaoliang Yu, Yuntian Deng, Eduard H. Hovy
2016	—	`conf`	Learning Concept Taxonomies from Multi-modal Data. ACL (1) Hao Zhang, Zhiting Hu, Yuntian Deng, Mrinmaya Sachan, Zhicheng Yan, Eric P. Xing
2016	J	`jnl`	Learning Concept Taxonomies from Multi-modal Data. CoRR Hao Zhang, Zhiting Hu, Yuntian Deng, Mrinmaya Sachan, Zhicheng Yan, Eric P. Xing
2016	J	`jnl`	Neural Machine Translation with Recurrent Attention Modeling. CoRR Zichao Yang, Zhiting Hu, Yuntian Deng, Chris Dyer, Alexander J. Smola
2016	J	`jnl`	What You Get Is What You See: A Visual Markup Decompiler. CoRR Yuntian Deng, Anssi Kanervisto, Alexander M. Rush
2015	J	`jnl`	Creating Scalable and Interactive Web Applications Using High Performance Latent Variable Models. CoRR Aaron Q. Li, Yuntian Deng, Kublai Jing, Joseph W. Robinson
2015	A*	`conf`	Diversifying Restricted Boltzmann Machine for Document Modeling. KDD Pengtao Xie, Yuntian Deng, Eric P. Xing
2015	—	`conf`	Entity Hierarchy Embedding. ACL (1) Zhiting Hu, Poyao Huang, Yuntian Deng, Yingkai Gao, Eric P. Xing
2015	J	`jnl`	Latent Variable Modeling with Diversity-Inducing Mutual Angular Regularization. CoRR Pengtao Xie, Yuntian Deng, Eric P. Xing
2015	J	`jnl`	On the Generalization Error Bounds of Neural Networks under Diversity-Inducing Mutual Angular Regularization. CoRR Pengtao Xie, Yuntian Deng, Eric P. Xing