Yiming Yang - RankMe

317 papers A* 90A 18B 6C 1Misc 4Journal 142Unranked 56

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Alternative mixed integer linear programming optimization for joint job scheduling and data allocation in grid computing. Future Gener. Comput. Syst. Shengyu Feng, Jaehyung Kim, Yiming Yang, Joseph Boudreau, Tasnuva Chowdhury, Adolfy Hoisie, Raees Khan, Ozgur O. Kilic, Scott Klasky, Tatiana Korchuganova, Paul Nilsson, Verena Ingrid Martinez Outschoorn, David Keetae Park, Norbert Podhorszki, Yihui Ren, Frédéric Suter, Sairam Sri Vatsavai, Wei Yang, Shinjae Yoo, Tadashi Maeno, Alexei Klimentov
2026	A*	`conf`	CO-Bench: Benchmarking Language Model Agents in Algorithm Search for Combinatorial Optimization. AAAI Weiwei Sun, Shengyu Feng, Shanda Li, Yiming Yang
2026	J	`jnl`	CodePDE: An Inference Framework for LLM-driven PDE Solver Generation. Trans. Mach. Learn. Res. Shanda Li, Tanya Marwah, Junhong Shen, Weiwei Sun, Andrej Risteski, Yiming Yang, Ameet Talwalkar
2026	J	`jnl`	GradAlign: Gradient-Aligned Data Selection for LLM Reinforcement Learning. CoRR Ningyuan Yang, Weihua Du, Weiwei Sun, Sean Welleck, Yiming Yang
2026	J	`jnl`	Learn Hard Problems During RL with Reference Guided Fine-tuning. CoRR Yangzhen Wu, Shanda Li, Zixin Wen, Xin Zhou, Ameet Talwalkar, Yiming Yang, Wenhao Huang, Tianle Cai
2026	J	`jnl`	Mind the Sim2Real Gap in User Simulation for Agentic Tasks. CoRR Xuhui Zhou, Weiwei Sun, Qianou Ma, Yiqing Xie, Jiarui Liu, Weihua Du, Sean Welleck, Yiming Yang, Graham Neubig, Sherry Tongshuang Wu, Maarten Sap
2025	J	`jnl`	A Comprehensive Evaluation of Contemporary ML-Based Solvers for Combinatorial Optimization. CoRR Shengyu Feng, Weiwei Sun, Shanda Li, Ameet Talwalkar, Yiming Yang
2025	A*	`conf`	Agentic-R1: Distilled Dual-Strategy Reasoning. EMNLP Weihua Du, Pranjal Aggarwal, Sean Welleck, Yiming Yang
2025	J	`jnl`	Agentic-R1: Distilled Dual-Strategy Reasoning. CoRR Weihua Du, Pranjal Aggarwal, Sean Welleck, Yiming Yang
2025	J	`jnl`	Alternative Mixed Integer Linear Programming Optimization for Joint Job Scheduling and Data Allocation in Grid Computing. CoRR Shengyu Feng, Jaehyung Kim, Yiming Yang, Joseph Boudreau, Tasnuva Chowdhury, Adolfy Hoisie, Raees Khan, Ozgur O. Kilic, Scott Klasky, Tatiana Korchuganova, Paul Nilsson, Verena Ingrid Martinez Outschoorn, David Keetae Park, Norbert Podhorszki, Yihui Ren, Frédéric Suter, Sairam Sri Vatsavai, Wei Yang, Shinjae Yoo, Tadashi Maeno, Alexei Klimentov
2025	—	`conf`	CGSim: A Simulation Framework for Large Scale Distributed Computing Environment. SC Workshops Sairam Sri Vatsavai, Raees Khan Ahmed, Kuan-Chieh Hsu, Ozgur O. Kilic, Yihui Ren, David K. Park, Paul Nilsson, Tania Korchuganova, Sankha Dutta, Joseph Boudreau, Tasnuva Chowdhury, Shengyu Feng, Fatih Furkan Akman, Adolfy Hoisie, Scott Klasky, Tadashi Maeno, Verena Ingrid Martinez Outschoorn, Norbert Podhorszki, Frédéric Suter, John Rembrandt Steele, Wei Yang, Yiming Yang, Shinjae Yoo, Alexei Klimentov
2025	J	`jnl`	CGSim: A Simulation Framework for Large Scale Distributed Computing Environment. CoRR Sairam Sri Vatsavai, Raees Khan, Kuan-Chieh Hsu, Ozgur O. Kilic, Paul Nilsson, Tatiana Korchuganova, David Keetae Park, Sankha Dutta, Yihui Ren, Joseph Boudreau, Tasnuva Chowdhury, Shengyu Feng, Jaehyung Kim, Scott Klasky, Tadashi Maeno, Verena Ingrid Martinez Outschoorn, Norbert Podhorszki, Frédéric Suter, Wei Yang, Yiming Yang, Shinjae Yoo, Alexei Klimentov, Adolfy Hoisie
2025	J	`jnl`	CO-Bench: Benchmarking Language Model Agents in Algorithm Search for Combinatorial Optimization. CoRR Weiwei Sun, Shengyu Feng, Shanda Li, Yiming Yang
2025	J	`jnl`	CodePDE: An Inference Framework for LLM-driven PDE Solver Generation. CoRR Shanda Li, Tanya Marwah, Junhong Shen, Weiwei Sun, Andrej Risteski, Yiming Yang, Ameet Talwalkar
2025	—	`conf`	Data Management System Analysis for Distributed Computing Workloads. SC Workshops Kuan-Chieh Hsu, Sairam Sri Vatsavai, Ozgur O. Kilic, Sankha Dutta, Yihui Ren, David K. Park, Tatiana Korchuganova, Joseph Boudreau, Tasnuva Chowdhury, Shengyu Feng, Raees Ahmad Khan, Jaehyung Kim, Norbert Podhorszki, Scott Klasky, Tadashi Maeno, Paul Nilsson, Verena Ingrid Martinez Outschoorn, Frédéric Suter, Wei Yang, Yiming Yang, Shinjae Yoo, Alexei Klimentov, Adolfy Hoisie
2025	J	`jnl`	Data Management System Analysis for Distributed Computing Workloads. CoRR Kuan-Chieh Hsu, Sairam Sri Vatsavai, Ozgur O. Kilic, Tatiana Korchuganova, Paul Nilsson, Sankha Dutta, Yihui Ren, David K. Park, Joseph Boudreau, Tasnuva Chowdhury, Shengyu Feng, Raees Khan, Jaehyung Kim, Scott Klasky, Tadashi Maeno, Verena Ingrid Martinez Outschoorn, Norbert Podhorszki, Frédéric Suter, Wei Yang, Yiming Yang, Shinjae Yoo, Alexei Klimentov, Adolfy Hoisie
2025	J	`jnl`	Deep Research: A Systematic Survey. CoRR Zhengliang Shi, Yiqun Chen, Haitao Li, Weiwei Sun, Shiyu Ni, Yougang Lyu, Run-Ze Fan, Bowen Jin, Yixuan Weng, Minjun Zhu, Qiujie Xie, Xinyu Guo, Qu Yang, Jiayi Wu, Jujia Zhao, Xiaqiang Tang, Xinbei Ma, Cunxiang Wang, Jiaxin Mao, Qingyao Ai, Jen-tse Huang, Wenxuan Wang, Yue Zhang, Yiming Yang, Zhaopeng Tu, Zhaochun Ren
2025	—	`conf`	Direct Preference Optimization of Video Large Multimodal Models from Language Model Reward. NAACL (Long Papers) Ruohong Zhang, Liangke Gui, Zhiqing Sun, Yihao Feng, Keyang Xu, Yuanhan Zhang, Di Fu, Chunyuan Li, Alexander G. Hauptmann, Yonatan Bisk, Yiming Yang
2025	J	`jnl`	Dual-Weighted Reinforcement Learning for Generative Preference Modeling. CoRR Shengyu Feng, Yun He, Shuang Ma, Beibin Li, Yuanhao Xiong, Songlin Li, Karishma Mandyam, Julian Katz-Samuels, Shengjie Bi, Licheng Yu, Hejia Zhang, Karthik Abinav Sankararaman, Han Fang, Riham Mansour, Yiming Yang, Manaal Faruqui
2025	J	`jnl`	Enhancing Training Data Attribution with Representational Optimization. CoRR Weiwei Sun, Haokun Liu, Nikhil Kandpal, Colin Raffel, Yiming Yang
2025	—	`conf`	Error Analysis of Globally Distributed Workflow Management System. SC Workshops Sankha Dutta, Ozgur O. Kilic, Tatiana Korchuganova, Paul Nilsson, Sairam Sri Vatsavai, Kuan-Chieh Hsu, David K. Park, Joseph Boudreau, Tasnuva Chowdhury, Shengyu Feng, Raees Khan, Jaehyung Kim, Scott Klasky, Tadashi Maeno, Verena Ingrid Martinez Outschoorn, Norbert Podhorszki, Yihui Ren, Frédéric Suter, Wei Yang, Yiming Yang, Shinjae Yoo, Alexei Klimentov, Adolfy Hoisie
2025	—	`conf`	Few-shot Personalization of LLMs with Mis-aligned Responses. NAACL (Long Papers) Jaehyung Kim, Yiming Yang
2025	J	`jnl`	Generalizable End-to-End Tool-Use RL with Synthetic CodeGym. CoRR Weihua Du, Hailei Gong, Zhan Ling, Kang Liu, Lingfeng Shen, Xuesong Yao, Yufei Xu, Dingyuan Shi, Yiming Yang, Jiecao Chen
2025	—	`conf`	Improve Vision Language Model Chain-of-thought Reasoning. ACL (1) Ruohong Zhang, Bowen Zhang, Yanghao Li, Haotian Zhang, Zhiqing Sun, Zhe Gan, Yinfei Yang, Ruoming Pang, Yiming Yang
2025	J	`jnl`	Improving Retrieval-Augmented Generation through Multi-Agent Reinforcement Learning. CoRR Yiqun Chen, Lingyong Yan, Weiwei Sun, Xinyu Ma, Yi Zhang, Shuaiqiang Wang, Dawei Yin, Yiming Yang, Jiaxin Mao
2025	A*	`conf`	Inference Scaling Laws: An Empirical Analysis of Compute-Optimal Inference for LLM Problem-Solving. ICLR Yangzhen Wu, Zhiqing Sun, Shanda Li, Sean Welleck, Yiming Yang
2025	A*	`conf`	Lean-STaR: Learning to Interleave Thinking and Proving. ICLR Haohan Lin, Zhiqing Sun, Sean Welleck, Yiming Yang
2025	J	`jnl`	Machine Learning-Driven Predictive Resource Management in Complex Science Workflows. CoRR Tasnuva Chowdhury, Tadashi Maeno, Fatih Furkan Akman, Joseph Boudreau, Sankha Dutta, Shengyu Feng, Adolfy Hoisie, Kuan-Chieh Hsu, Raees Khan, Jaehyung Kim, Ozgur O. Kilic, Scott Klasky, Alexei Klimentov, Tatiana Korchuganova, Verena Ingrid Martinez Outschoorn, Paul Nilsson, David Keetae Park, Norbert Podhorszki, Yihui Ren, John Rembrandt Steele, Frédéric Suter, Sairam Sri Vatsavai, Torre J. Wenaus, Wei Yang, Yiming Yang, Shinjae Yoo
2025	A*	`conf`	Maximal Update Parametrization and Zero-Shot Hyperparameter Transfer for Fourier Neural Operators. ICML Shanda Li, Shinjae Yoo, Yiming Yang
2025	J	`jnl`	Maximal Update Parametrization and Zero-Shot Hyperparameter Transfer for Fourier Neural Operators. CoRR Shanda Li, Shinjae Yoo, Yiming Yang
2025	A*	`conf`	Optimizing Temperature for Language Models with Multi-Sample Inference. ICML Weihua Du, Yiming Yang, Sean Welleck
2025	J	`jnl`	Optimizing Temperature for Language Models with Multi-Sample Inference. CoRR Weihua Du, Yiming Yang, Sean Welleck
2025	A*	`conf`	Regularized Langevin Dynamics for Combinatorial Optimization. ICML Shengyu Feng, Yiming Yang
2025	J	`jnl`	Regularized Langevin Dynamics for Combinatorial Optimization. CoRR Shengyu Feng, Yiming Yang
2025	A*	`conf`	SORREL: Suboptimal-Demonstration-Guided Reinforcement Learning for Learning to Branch. AAAI Shengyu Feng, Yiming Yang
2025	J	`jnl`	SPL-LNS: Sampling-Enhanced Large Neighborhood Search for Solving Integer Linear Programs. CoRR Shengyu Feng, Zhiqing Sun, Yiming Yang
2025	J	`jnl`	Sample Complexity and Representation Ability of Test-time Scaling Paradigms. CoRR Baihe Huang, Shanda Li, Tianhao Wu, Yiming Yang, Ameet Talwalkar, Kannan Ramchandran, Michael I. Jordan, Jiantao Jiao
2025	J	`jnl`	Scaling Long-Horizon LLM Agent via Context-Folding. CoRR Weiwei Sun, Miao Lu, Zhan Ling, Kang Liu, Xuesong Yao, Yiming Yang, Jiecao Chen
2025	A*	`conf`	Self-Play Preference Optimization for Language Model Alignment. ICLR Yue Wu, Zhiqing Sun, Huizhuo Yuan, Kaixuan Ji, Yiming Yang, Quanquan Gu
2025	A*	`conf`	Step-by-Step Reasoning for Math Problems via Twisted Sequential Monte Carlo. ICLR Shengyu Feng, Xiang Kong, Shuang Ma, Aonan Zhang, Dong Yin, Chong Wang, Ruoming Pang, Yiming Yang
2025	J	`jnl`	Towards Community-Driven Agents for Machine Learning Engineering. CoRR Sijie Li, Weiwei Sun, Shanda Li, Ameet Talwalkar, Yiming Yang
2025	J	`jnl`	Towards an Introspective Dynamic Model of Globally Distributed Computing Infrastructures. CoRR Ozgur O. Kilic, David Keetae Park, Yihui Ren, Tatiana Korchuganova, Sairam Sri Vatsavai, Joseph Boudreau, Tasnuva Chowdhury, Shengyu Feng, Raees Khan, Jaehyung Kim, Scott Klasky, Tadashi Maeno, Paul Nilsson, Verena Ingrid Martinez Outschoorn, Norbert Podhorszki, Frédéric Suter, Wei Yang, Yiming Yang, Shinjae Yoo, Alexei Klimentov, Adolfy Hoisie
2025	J	`jnl`	Training Proactive and Personalized LLM Agents. CoRR Weiwei Sun, Xuhui Zhou, Weihua Du, Xingyao Wang, Sean Welleck, Graham Neubig, Maarten Sap, Yiming Yang
2025	J	`jnl`	ZeroGR: A Generalizable and Scalable Framework for Zero-Shot Generative Retrieval. CoRR Weiwei Sun, Keyi Kong, Xinyu Ma, Shuaiqiang Wang, Dawei Yin, Maarten de Rijke, Zhaochun Ren, Yiming Yang
2024	—	`conf`	AI Surrogate Model for Distributed Computing Workloads. SC Workshops David Keetae Park, Yihui Ren, Ozgur O. Kilic, Tatiana Korchuganova, Sairam Sri Vatsavai, Joseph Boudreau, Tasnuva Chowdhury, Shengyu Feng, Raees Khan, Jaehyung Kim, Scott Klasky, Tadashi Maeno, Paul Nilsson, Verena Ingrid Martinez Outschoorn, Norbert Podhorszki, Frédéric Suter, Wei Yang, Yiming Yang, Shinjae Yoo, Alexei Klimentov, Adolfy Hoisie
2024	J	`jnl`	AI Surrogate Model for Distributed Computing Workloads. CoRR David Keetae Park, Yihui Ren, Ozgur O. Kilic, Tatiana Korchuganova, Sairam Sri Vatsavai, Joseph Boudreau, Tasnuva Chowdhury, Shengyu Feng, Raees Khan, Jaehyung Kim, Scott Klasky, Tadashi Maeno, Paul Nilsson, Verena Ingrid Martinez Outschoorn, Norbert Podhorszki, Frédéric Suter, Wei Yang, Yiming Yang, Shinjae Yoo, Alexei Klimentov, Adolfy Hoisie
2024	—	`conf`	Aligning Large Multimodal Models with Factually Augmented RLHF. ACL (Findings) Zhiqing Sun, Sheng Shen, Shengcao Cao, Haotian Liu, Chunyuan Li, Yikang Shen, Chuang Gan, Liangyan Gui, Yu-Xiong Wang, Yiming Yang, Kurt Keutzer, Trevor Darrell
2024	J	`jnl`	An Empirical Analysis of Compute-Optimal Inference for Problem-Solving with Language Models. CoRR Yangzhen Wu, Zhiqing Sun, Shanda Li, Sean Welleck, Yiming Yang
2024	A*	`conf`	AutoMix: Automatically Mixing Language Models. NeurIPS Pranjal Aggarwal, Aman Madaan, Ankit Anand, Srividya Pranavi Potharaju, Swaroop Mishra, Pei Zhou, Aditya Gupta, Dheeraj Rajagopal, Karthik Kappaganthu, Yiming Yang, Shyam Upadhyay, Manaal Faruqui, Mausam
2024	J	`jnl`	Direct Preference Optimization of Video Large Multimodal Models from Language Model Reward. CoRR Ruohong Zhang, Liangke Gui, Zhiqing Sun, Yihao Feng, Keyang Xu, Yuanhan Zhang, Di Fu, Chunyuan Li, Alexander Hauptmann, Yonatan Bisk, Yiming Yang
2024	A*	`conf`	Easy-to-Hard Generalization: Scalable Alignment Beyond Human Supervision. NeurIPS Zhiqing Sun, Longhui Yu, Yikang Shen, Weiyang Liu, Yiming Yang, Sean Welleck, Chuang Gan
2024	J	`jnl`	Easy-to-Hard Generalization: Scalable Alignment Beyond Human Supervision. CoRR Zhiqing Sun, Longhui Yu, Yikang Shen, Weiyang Liu, Yiming Yang, Sean Welleck, Chuang Gan
2024	J	`jnl`	Few-shot Personalization of LLMs with Mis-aligned Responses. CoRR Jaehyung Kim, Yiming Yang
2024	A*	`conf`	Functional Interpolation for Relative Positions improves Long Context Transformers. ICLR Shanda Li, Chong You, Guru Guruganesh, Joshua Ainslie, Santiago Ontañón, Manzil Zaheer, Sumit Sanghai, Yiming Yang, Sanjiv Kumar, Srinadh Bhojanapalli
2024	—	`conf`	Generation-driven Contrastive Self-training for Zero-shot Text Classification with Instruction-following LLM. EACL (1) Ruohong Zhang, Yau-Shian Wang, Yiming Yang
2024	J	`jnl`	HaluEval-Wild: Evaluating Hallucinations of Language Models in the Wild. CoRR Zhiying Zhu, Zhiqing Sun, Yiming Yang
2024	J	`jnl`	Improve Vision Language Model Chain-of-thought Reasoning. CoRR Ruohong Zhang, Bowen Zhang, Yanghao Li, Haotian Zhang, Zhiqing Sun, Zhe Gan, Yinfei Yang, Ruoming Pang, Yiming Yang
2024	A*	`conf`	In-Context Principle Learning from Mistakes. ICML Tianjun Zhang, Aman Madaan, Luyu Gao, Steven Zheng, Swaroop Mishra, Yiming Yang, Niket Tandon, Uri Alon
2024	J	`jnl`	In-Context Principle Learning from Mistakes. CoRR Tianjun Zhang, Aman Madaan, Luyu Gao, Steven Zheng, Swaroop Mishra, Yiming Yang, Niket Tandon, Uri Alon
2024	J	`jnl`	Lean-STaR: Learning to Interleave Thinking and Proving. CoRR Haohan Lin, Zhiqing Sun, Yiming Yang, Sean Welleck
2024	A*	`conf`	Learning Performance-Improving Code Edits. ICLR Alexander Shypula, Aman Madaan, Yimeng Zeng, Uri Alon, Jacob R. Gardner, Yiming Yang, Milad Hashemi, Graham Neubig, Parthasarathy Ranganathan, Osbert Bastani, Amir Yazdanbakhsh
2024	A*	`conf`	Learning to Correct for QA Reasoning with Black-box LLMs. EMNLP Jaehyung Kim, Dongyoung Kim, Yiming Yang
2024	J	`jnl`	Learning to Correct for QA Reasoning with Black-box LLMs. CoRR Jaehyung Kim, Dongyoung Kim, Yiming Yang
2024	A*	`conf`	Representation Learning and Information Retrieval. SIGIR Yiming Yang
2024	A*	`conf`	SALMON: Self-Alignment with Instructable Reward Models. ICLR Zhiqing Sun, Yikang Shen, Hongxin Zhang, Qinhong Zhou, Zhenfang Chen, David Daniel Cox, Yiming Yang, Chuang Gan
2024	J	`jnl`	SORREL: Suboptimal-Demonstration-Guided Reinforcement Learning for Learning to Branch. CoRR Shengyu Feng, Yiming Yang
2024	J	`jnl`	Self-Imagine: Effective Unimodal Reasoning with Multimodal Models using Self-Imagination. CoRR Syeda Nahida Akter, Aman Madaan, Sangwu Lee, Yiming Yang, Eric Nyberg
2024	J	`jnl`	Self-Play Preference Optimization for Language Model Alignment. CoRR Yue Wu, Zhiqing Sun, Huizhuo Yuan, Kaixuan Ji, Yiming Yang, Quanquan Gu
2024	J	`jnl`	Step-by-Step Reasoning for Math Problems via Twisted Sequential Monte Carlo. CoRR Shengyu Feng, Xiang Kong, Shuang Ma, Aonan Zhang, Dong Yin, Chong Wang, Ruoming Pang, Yiming Yang
2023	A*	`conf`	A Neural PDE Solver with Temporal Stencil Modeling. ICML Zhiqing Sun, Yiming Yang, Shinjae Yoo
2023	J	`jnl`	A Neural PDE Solver with Temporal Stencil Modeling. CoRR Zhiqing Sun, Yiming Yang, Shinjae Yoo
2023	J	`jnl`	A Self-enhancement Approach for Domain-specific Chatbot Training via Knowledge Mining and Digest. CoRR Ruohong Zhang, Luyu Gao, Chen Zheng, Zhen Fan, Guokun Lai, Zheng Zhang, Fangzhou Ai, Yiming Yang, Hongxia Yang
2023	J	`jnl`	Accelerating Diffusion-based Combinatorial Optimization Solvers by Progressive Distillation. CoRR Junwei Huang, Zhiqing Sun, Yiming Yang
2023	A*	`conf`	Active Retrieval Augmented Generation. EMNLP Zhengbao Jiang, Frank F. Xu, Luyu Gao, Zhiqing Sun, Qian Liu, Jane Dwivedi-Yu, Yiming Yang, Jamie Callan, Graham Neubig
2023	J	`jnl`	Active Retrieval Augmented Generation. CoRR Zhengbao Jiang, Frank F. Xu, Luyu Gao, Zhiqing Sun, Qian Liu, Jane Dwivedi-Yu, Yiming Yang, Jamie Callan, Graham Neubig
2023	J	`jnl`	Aligning Large Multimodal Models with Factually Augmented RLHF. CoRR Zhiqing Sun, Sheng Shen, Shengcao Cao, Haotian Liu, Chunyuan Li, Yikang Shen, Chuang Gan, Liang-Yan Gui, Yu-Xiong Wang, Yiming Yang, Kurt Keutzer, Trevor Darrell
2023	J	`jnl`	AutoMix: Automatically Mixing Language Models. CoRR Aman Madaan, Pranjal Aggarwal, Ankit Anand, Srividya Pranavi Potharaju, Swaroop Mishra, Pei Zhou, Aditya Gupta, Dheeraj Rajagopal, Karthik Kappaganthu, Yiming Yang, Shyam Upadhyay, Mausam, Manaal Faruqui
2023	—	`conf`	CompleQA: Benchmarking the Impacts of Knowledge Graph Completion Methods on Question Answering. EMNLP (Findings) Donghan Yu, Yu Gu, Chenyan Xiong, Yiming Yang
2023	A*	`conf`	DIFUSCO: Graph-based Diffusion Solvers for Combinatorial Optimization. NeurIPS Zhiqing Sun, Yiming Yang
2023	J	`jnl`	DIFUSCO: Graph-based Diffusion Solvers for Combinatorial Optimization. CoRR Zhiqing Sun, Yiming Yang
2023	J	`jnl`	Functional Interpolation for Relative Positions Improves Long Context Transformers. CoRR Shanda Li, Chong You, Guru Guruganesh, Joshua Ainslie, Santiago Ontañón, Manzil Zaheer, Sumit Sanghai, Yiming Yang, Sanjiv Kumar, Srinadh Bhojanapalli
2023	J	`jnl`	Generation-driven Contrastive Self-training for Zero-shot Text Classification with Instruction-tuned GPT. CoRR Ruohong Zhang, Yau-Shian Wang, Yiming Yang
2023	J	`jnl`	Learning Performance-Improving Code Edits. CoRR Aman Madaan, Alexander Shypula, Uri Alon, Milad Hashemi, Parthasarathy Ranganathan, Yiming Yang, Graham Neubig, Amir Yazdanbakhsh
2023	A*	`conf`	Let's Sample Step by Step: Adaptive-Consistency for Efficient Reasoning and Coding with LLMs. EMNLP Pranjal Aggarwal, Aman Madaan, Yiming Yang, Mausam
2023	J	`jnl`	Let's Sample Step by Step: Adaptive-Consistency for Efficient Reasoning with LLMs. CoRR Pranjal Aggarwal, Aman Madaan, Yiming Yang, Mausam
2023	—	`conf`	Long-tailed Extreme Multi-label Text Classification by the Retrieval of Generated Pseudo Label Descriptions. EACL (Findings) Ruohong Zhang, Yau-Shian Wang, Yiming Yang, Donghan Yu, Tom Vu, Likun Lei
2023	A*	`conf`	PAL: Program-aided Language Models. ICML Luyu Gao, Aman Madaan, Shuyan Zhou, Uri Alon, Pengfei Liu, Yiming Yang, Jamie Callan, Graham Neubig
2023	—	`conf`	PESCO: Prompt-enhanced Self Contrastive Learning for Zero-shot Text Classification. ACL (1) Yau-Shian Wang, Ta-Chung Chi, Ruohong Zhang, Yiming Yang
2023	J	`jnl`	PESCO: Prompt-enhanced Self Contrastive Learning for Zero-shot Text Classification. CoRR Yau-Shian Wang, Ta-Chung Chi, Ruohong Zhang, Yiming Yang
2023	A*	`conf`	Principle-Driven Self-Alignment of Language Models from Scratch with Minimal Human Supervision. NeurIPS Zhiqing Sun, Yikang Shen, Qinhong Zhou, Hongxin Zhang, Zhenfang Chen, David D. Cox, Yiming Yang, Chuang Gan
2023	J	`jnl`	Principle-Driven Self-Alignment of Language Models from Scratch with Minimal Human Supervision. CoRR Zhiqing Sun, Yikang Shen, Qinhong Zhou, Hongxin Zhang, Zhenfang Chen, David D. Cox, Yiming Yang, Chuang Gan
2023	A*	`conf`	Recitation-Augmented Language Models. ICLR Zhiqing Sun, Xuezhi Wang, Yi Tay, Yiming Yang, Denny Zhou
2023	A*	`conf`	Retrieval-Enhanced Generative Model for Large-Scale Knowledge Graph Completion. SIGIR Donghan Yu, Yiming Yang
2023	J	`jnl`	SALMON: Self-Alignment with Principle-Following Reward Models. CoRR Zhiqing Sun, Yikang Shen, Hongxin Zhang, Qinhong Zhou, Zhenfang Chen, David D. Cox, Yiming Yang, Chuang Gan
2023	A*	`conf`	Self-Refine: Iterative Refinement with Self-Feedback. NeurIPS Aman Madaan, Niket Tandon, Prakhar Gupta, Skyler Hallinan, Luyu Gao, Sarah Wiegreffe, Uri Alon, Nouha Dziri, Shrimai Prabhumoye, Yiming Yang, Shashank Gupta, Bodhisattwa Prasad Majumder, Katherine Hermann, Sean Welleck, Amir Yazdanbakhsh, Peter Clark
2023	J	`jnl`	Self-Refine: Iterative Refinement with Self-Feedback. CoRR Aman Madaan, Niket Tandon, Prakhar Gupta, Skyler Hallinan, Luyu Gao, Sarah Wiegreffe, Uri Alon, Nouha Dziri, Shrimai Prabhumoye, Yiming Yang, Sean Welleck, Bodhisattwa Prasad Majumder, Shashank Gupta, Amir Yazdanbakhsh, Peter Clark
2022	A*	`conf`	Conditional set generation using Seq2seq models. EMNLP Aman Madaan, Dheeraj Rajagopal, Niket Tandon, Yiming Yang, Antoine Bosselut
2022	J	`jnl`	Conditional set generation using Seq2seq models. CoRR Aman Madaan, Dheeraj Rajagopal, Niket Tandon, Yiming Yang, Antoine Bosselut
2022	A*	`conf`	DIMES: A Differentiable Meta Solver for Combinatorial Optimization Problems. NeurIPS Ruizhong Qiu, Zhiqing Sun, Yiming Yang
2022	J	`jnl`	DIMES: A Differentiable Meta Solver for Combinatorial Optimization Problems. CoRR Ruizhong Qiu, Zhiqing Sun, Yiming Yang
2022	J	`jnl`	Exploiting Local and Global Features in Transformer-based Extreme Multi-label Text Classification. CoRR Ruohong Zhang, Yau-Shian Wang, Yiming Yang, Tom Vu, Likun Lei
2022	J	`jnl`	FLOWGEN: Fast and slow graph generation. CoRR Aman Madaan, Yiming Yang
2022	A*	`conf`	JAKET: Joint Pre-training of Knowledge Graph and Language Understanding. AAAI Donghan Yu, Chenguang Zhu, Yiming Yang, Michael Zeng
2022	—	`conf`	KG-FiD: Infusing Knowledge Graph in Fusion-in-Decoder for Open-Domain Question Answering. ACL (1) Donghan Yu, Chenguang Zhu, Yuwei Fang, Wenhao Yu, Shuohang Wang, Yichong Xu, Xiang Ren, Yiming Yang, Michael Zeng
2022	A*	`conf`	Language Models of Code are Few-Shot Commonsense Learners. EMNLP Aman Madaan, Shuyan Zhou, Uri Alon, Yiming Yang, Graham Neubig
2022	J	`jnl`	Language Models of Code are Few-Shot Commonsense Learners. CoRR Aman Madaan, Shuyan Zhou, Uri Alon, Yiming Yang, Graham Neubig
2022	—	`conf`	Learning to repair: Repairing model output errors after deployment using a dynamic memory of feedback. NAACL-HLT (Findings) Niket Tandon, Aman Madaan, Peter Clark, Yiming Yang
2022	J	`jnl`	Long-tailed Extreme Multi-label Text Classification with Generated Pseudo Label Descriptions. CoRR Ruohong Zhang, Yau-Shian Wang, Yiming Yang, Donghan Yu, Tom Vu, Likun Lei
2022	A*	`conf`	Memory-assisted prompt editing to improve GPT-3 after deployment. EMNLP Aman Madaan, Niket Tandon, Peter Clark, Yiming Yang
2022	J	`jnl`	Memory-assisted prompt editing to improve GPT-3 after deployment. CoRR Aman Madaan, Niket Tandon, Peter Clark, Yiming Yang
2022	J	`jnl`	PAL: Program-aided Language Models. CoRR Luyu Gao, Aman Madaan, Shuyan Zhou, Uri Alon, Pengfei Liu, Yiming Yang, Jamie Callan, Graham Neubig
2022	J	`jnl`	Recitation-Augmented Language Models. CoRR Zhiqing Sun, Xuezhi Wang, Yi Tay, Yiming Yang, Denny Zhou
2022	A*	`conf`	Sparse Attention with Learning to Hash. ICLR Zhiqing Sun, Yiming Yang, Shinjae Yoo
2021	J	`jnl`	CURIE: An Iterative Querying Approach for Reasoning About Situations. CoRR Dheeraj Rajagopal, Aman Madaan, Niket Tandon, Yiming Yang, Shrimai Prabhumoye, Abhilasha Ravichander, Peter Clark, Eduard H. Hovy
2021	—	`conf`	Could you give me a hint ? Generating inference graphs for defeasible reasoning. ACL/IJCNLP (Findings) Aman Madaan, Dheeraj Rajagopal, Niket Tandon, Yiming Yang, Eduard H. Hovy
2021	J	`jnl`	Could you give me a hint? Generating inference graphs for defeasible reasoning. CoRR Aman Madaan, Dheeraj Rajagopal, Niket Tandon, Yiming Yang, Eduard H. Hovy
2021	—	`conf`	Enhancing Summarization with Text Classification via Topic Consistency. ECML/PKDD (3) Jingzhou Liu, Yiming Yang
2021	J	`jnl`	Improving Hyper-Relational Knowledge Graph Completion. CoRR Donghan Yu, Yiming Yang
2021	J	`jnl`	Improving Neural Model Performance through Natural Language Feedback on Their Explanations. CoRR Aman Madaan, Niket Tandon, Dheeraj Rajagopal, Yiming Yang, Peter Clark, Keisuke Sakaguchi, Eduard H. Hovy
2021	J	`jnl`	Improving scripts with a memory of natural feedback. CoRR Niket Tandon, Aman Madaan, Peter Clark, Yiming Yang
2021	J	`jnl`	Interscript: A dataset for interactive learning of scripts through error feedback. CoRR Niket Tandon, Aman Madaan, Peter Clark, Keisuke Sakaguchi, Yiming Yang
2021	J	`jnl`	KG-FiD: Infusing Knowledge Graph in Fusion-in-Decoder for Open-Domain Question Answering. CoRR Donghan Yu, Chenguang Zhu, Yuwei Fang, Wenhao Yu, Shuohang Wang, Yichong Xu, Xiang Ren, Yiming Yang, Michael Zeng
2021	A*	`conf`	Knowledge Embedding Based Graph Convolutional Network. WWW Donghan Yu, Yiming Yang, Ruohong Zhang, Yuexin Wu
2021	A*	`conf`	Meta Back-Translation. ICLR Hieu Pham, Xinyi Wang, Yiming Yang, Graham Neubig
2021	J	`jnl`	Meta Back-translation. CoRR Hieu Pham, Xinyi Wang, Yiming Yang, Graham Neubig
2021	—	`conf`	Neural Language Modeling for Contextualized Temporal Graph Generation. NAACL-HLT Aman Madaan, Yiming Yang
2021	A*	`conf`	Rethinking Transformer-based Set Prediction for Object Detection. ICCV Zhiqing Sun, Shengcao Cao, Yiming Yang, Kris Kitani
2021	—	`conf`	Think about it! Improving defeasible reasoning by first modeling the question scenario. EMNLP (1) Aman Madaan, Niket Tandon, Dheeraj Rajagopal, Peter Clark, Yiming Yang, Eduard H. Hovy
2021	J	`jnl`	Think about it! Improving defeasible reasoning by first modeling the question scenario. CoRR Aman Madaan, Niket Tandon, Dheeraj Rajagopal, Peter Clark, Yiming Yang, Eduard H. Hovy
2021	C	`conf`	Towards Using Heterogeneous Relation Graphs for End-to-End TTS. ASRU Amrith Setlur, Aman Madaan, Tanmay Parekh, Yiming Yang, Alan W. Black
2021	A*	`conf`	Unsupervised Extractive Text Summarization with Distance-Augmented Sentence Graphs. SIGIR Jingzhou Liu, Dominic J. D. Hughes, Yiming Yang
2020	A*	`conf`	A Re-evaluation of Knowledge Graph Completion Methods. ACL Zhiqing Sun, Shikhar Vashishth, Soumya Sanyal, Partha P. Talukdar, Yiming Yang
2020	A*	`conf`	An EM Approach to Non-autoregressive Conditional Sequence Generation. ICML Zhiqing Sun, Yiming Yang
2020	J	`jnl`	An EM Approach to Non-autoregressive Conditional Sequence Generation. CoRR Zhiqing Sun, Yiming Yang
2020	—	`conf`	Correlation-Aware Change-Point Detection via Graph Neural Networks. ICONIP (3) Ruohong Zhang, Yu Hao, Donghan Yu, Wei-Cheng Chang, Guokun Lai, Yiming Yang
2020	A*	`conf`	Cross-lingual Alignment vs Joint Training: A Comparative Study and A Simple Unified Framework. ICLR Zirui Wang, Jiateng Xie, Ruochen Xu, Yiming Yang, Graham Neubig, Jaime G. Carbonell
2020	J	`jnl`	EIGEN: Event Influence GENeration using Pre-trained Language Models. CoRR Aman Madaan, Dheeraj Rajagopal, Yiming Yang, Abhilasha Ravichander, Eduard H. Hovy, Shrimai Prabhumoye
2020	J	`jnl`	Explainable Unsupervised Change-point Detection via Graph Neural Networks. CoRR Ruohong Zhang, Yu Hao, Donghan Yu, Wei-Cheng Chang, Guokun Lai, Yiming Yang
2020	A*	`conf`	Funnel-Transformer: Filtering out Sequential Redundancy for Efficient Language Processing. NeurIPS Zihang Dai, Guokun Lai, Yiming Yang, Quoc Le
2020	J	`jnl`	Funnel-Transformer: Filtering out Sequential Redundancy for Efficient Language Processing. CoRR Zihang Dai, Guokun Lai, Yiming Yang, Quoc V. Le
2020	J	`jnl`	Generalized Multi-Relational Graph Convolution Network. CoRR Donghan Yu, Yiming Yang, Ruohong Zhang, Yuexin Wu
2020	—	`conf`	Graph-Revised Convolutional Network. ECML/PKDD (3) Donghan Yu, Ruohong Zhang, Zhengbao Jiang, Yuexin Wu, Yiming Yang
2020	J	`jnl`	JAKET: Joint Pre-training of Knowledge Graph and Language Understanding. CoRR Donghan Yu, Chenguang Zhu, Yiming Yang, Michael Zeng
2020	J	`jnl`	Kernel Stein Generative Modeling. CoRR Wei-Cheng Chang, Chun-Liang Li, Youssef Mroueh, Yiming Yang
2020	—	`conf`	Learning Relation Entailment with Structured and Textual Information. AKBC Zhengbao Jiang, Jun Araki, Donghan Yu, Ruohong Zhang, Wei Xu, Yiming Yang, Graham Neubig
2020	A*	`conf`	MobileBERT: a Compact Task-Agnostic BERT for Resource-Limited Devices. ACL Zhiqing Sun, Hongkun Yu, Xiaodan Song, Renjie Liu, Yiming Yang, Denny Zhou
2020	J	`jnl`	MobileBERT: a Compact Task-Agnostic BERT for Resource-Limited Devices. CoRR Zhiqing Sun, Hongkun Yu, Xiaodan Song, Renjie Liu, Yiming Yang, Denny Zhou
2020	J	`jnl`	Neural Language Modeling for Contextualized Temporal Graph Generation. CoRR Aman Madaan, Yiming Yang
2020	—	`conf`	On the Sentence Embeddings from Pre-trained Language Models. EMNLP (1) Bohan Li, Hao Zhou, Junxian He, Mingxuan Wang, Yiming Yang, Lei Li
2020	J	`jnl`	On the Sentence Embeddings from Pre-trained Language Models. CoRR Bohan Li, Hao Zhou, Junxian He, Mingxuan Wang, Yiming Yang, Lei Li
2020	A*	`conf`	Politeness Transfer: A Tag and Generate Approach. ACL Aman Madaan, Amrith Setlur, Tanmay Parekh, Barnabás Póczos, Graham Neubig, Yiming Yang, Ruslan Salakhutdinov, Alan W. Black, Shrimai Prabhumoye
2020	J	`jnl`	Politeness Transfer: A Tag and Generate Approach. CoRR Aman Madaan, Amrith Setlur, Tanmay Parekh, Barnabás Póczos, Graham Neubig, Yiming Yang, Ruslan Salakhutdinov, Alan W. Black, Shrimai Prabhumoye
2020	J	`jnl`	Practical Comparable Data Collection for Low-Resource Languages via Images. CoRR Aman Madaan, Shruti Rijhwani, Antonios Anastasopoulos, Yiming Yang, Graham Neubig
2020	A*	`conf`	Pre-training Tasks for Embedding-based Large-scale Retrieval. ICLR Wei-Cheng Chang, Felix X. Yu, Yin-Wen Chang, Yiming Yang, Sanjiv Kumar
2020	J	`jnl`	Pre-training Tasks for Embedding-based Large-scale Retrieval. CoRR Wei-Cheng Chang, Felix X. Yu, Yin-Wen Chang, Yiming Yang, Sanjiv Kumar
2020	A*	`conf`	Predicting Performance for Natural Language Processing Tasks. ACL Mengzhou Xia, Antonios Anastasopoulos, Ruochen Xu, Yiming Yang, Graham Neubig
2020	J	`jnl`	Predicting Performance for Natural Language Processing Tasks. CoRR Mengzhou Xia, Antonios Anastasopoulos, Ruochen Xu, Yiming Yang, Graham Neubig
2020	J	`jnl`	Rethinking Transformer-based Set Prediction for Object Detection. CoRR Zhiqing Sun, Shengcao Cao, Yiming Yang, Kris Kitani
2020	A*	`conf`	Taming Pretrained Transformers for Extreme Multi-label Text Classification. KDD Wei-Cheng Chang, Hsiang-Fu Yu, Kai Zhong, Yiming Yang, Inderjit S. Dhillon
2020	J	`jnl`	Unsupervised Parallel Corpus Mining on Web Data. CoRR Guokun Lai, Zihang Dai, Yiming Yang
2020	J	`jnl`	VIOLIN: A Large-Scale Dataset for Video-and-Language Inference. CoRR Jingzhou Liu, Wenhu Chen, Yu Cheng, Zhe Gan, Licheng Yu, Yiming Yang, Jingjing Liu
2020	A*	`conf`	Violin: A Large-Scale Dataset for Video-and-Language Inference. CVPR Jingzhou Liu, Wenhu Chen, Yu Cheng, Zhe Gan, Licheng Yu, Yiming Yang, Jingjing Liu
2019	J	`jnl`	A Modular Deep Learning Approach for Extreme Multi-label Text Classification. CoRR Wei-Cheng Chang, Hsiang-Fu Yu, Kai Zhong, Yiming Yang, Inderjit S. Dhillon
2019	J	`jnl`	A Re-evaluation of Knowledge Graph Completion Methods. CoRR Zhiqing Sun, Shikhar Vashishth, Soumya Sanyal, Partha P. Talukdar, Yiming Yang
2019	—	`conf`	A Surprisingly Effective Fix for Deep Latent Variable Modeling of Text. EMNLP/IJCNLP (1) Bohan Li, Junxian He, Graham Neubig, Taylor Berg-Kirkpatrick, Yiming Yang
2019	J	`jnl`	A Surprisingly Effective Fix for Deep Latent Variable Modeling of Text. CoRR Bohan Li, Junxian He, Graham Neubig, Taylor Berg-Kirkpatrick, Yiming Yang
2019	J	`jnl`	Active Learning for Graph Neural Networks via Node Feature Propagation. CoRR Yuexin Wu, Yichong Xu, Aarti Singh, Yiming Yang, Artur Dubrawski
2019	J	`jnl`	An Adversarial Approach to High-Quality, Sentiment-Controlled Neural Dialogue Generation. CoRR Xiang Kong, Bohan Li, Graham Neubig, Eduard H. Hovy, Yiming Yang
2019	J	`jnl`	Bridging the domain gap in cross-lingual document classification. CoRR Guokun Lai, Barlas Oguz, Yiming Yang, Veselin Stoyanov
2019	J	`jnl`	Cross-lingual Alignment vs Joint Training: A Comparative Study and A Simple Unified Framework. CoRR Zirui Wang, Jiateng Xie, Ruochen Xu, Yiming Yang, Graham Neubig, Jaime G. Carbonell
2019	—	`conf`	DARTS: Differentiable Architecture Search. ICLR (Poster) Hanxiao Liu, Karen Simonyan, Yiming Yang
2019	J	`jnl`	Graph-Revised Convolutional Network. CoRR Donghan Yu, Ruohong Zhang, Zhengbao Jiang, Yuexin Wu, Yiming Yang
2019	A	`conf`	Implicit Kernel Learning. AISTATS Chun-Liang Li, Wei-Cheng Chang, Youssef Mroueh, Yiming Yang, Barnabás Póczos
2019	J	`jnl`	Implicit Kernel Learning. CoRR Chun-Liang Li, Wei-Cheng Chang, Youssef Mroueh, Yiming Yang, Barnabás Póczos
2019	—	`conf`	Kernel Change-point Detection with Auxiliary Deep Generative Models. ICLR (Poster) Wei-Cheng Chang, Chun-Liang Li, Yiming Yang, Barnabás Póczos
2019	J	`jnl`	Kernel Change-point Detection with Auxiliary Deep Generative Models. CoRR Wei-Cheng Chang, Chun-Liang Li, Yiming Yang, Barnabás Póczos
2019	A*	`conf`	Re-examination of the Role of Latent Variables in Sequence Modeling. NeurIPS Guokun Lai, Zihang Dai, Yiming Yang, Shinjae Yoo
2019	J	`jnl`	Re-examination of the Role of Latent Variables in Sequence Modeling. CoRR Zihang Dai, Guokun Lai, Yiming Yang, Shinjae Yoo
2019	A*	`conf`	Switch-Based Active Deep Dyna-Q: Efficient Adaptive Planning for Task-Completion Dialogue Policy Learning. AAAI Yuexin Wu, Xiujun Li, Jingjing Liu, Jianfeng Gao, Yiming Yang
2019	J	`jnl`	The ARIEL-CMU Systems for LoReHLT18. CoRR Aditi Chaudhary, Siddharth Dalmia, Junjie Hu, Xinjian Li, Austin Matthews, Aldrian Obaja Muis, Naoki Otani, Shruti Rijhwani, Zaid Sheikh, Nidhi Vyas, Xinyi Wang, Jiateng Xie, Ruochen Xu, Chunting Zhou, Peter J. Jansen, Yiming Yang, Lori S. Levin, Florian Metze, Teruko Mitamura, David R. Mortensen, Graham Neubig, Eduard H. Hovy, Alan W. Black, Jaime G. Carbonell, Graham Horwood, Shabnam Tafreshi, Mona T. Diab, Efsun Sarioglu Kayi, Noura Farra, Kathleen R. McKeown
2019	J	`jnl`	Transformer-XL: Attentive Language Models Beyond a Fixed-Length Context. CoRR Zihang Dai, Zhilin Yang, Yiming Yang, Jaime G. Carbonell, Quoc V. Le, Ruslan Salakhutdinov
2019	—	`conf`	Transformer-XL: Attentive Language Models beyond a Fixed-Length Context. ACL (1) Zihang Dai, Zhilin Yang, Yiming Yang, Jaime G. Carbonell, Quoc Viet Le, Ruslan Salakhutdinov
2019	J	`jnl`	XL-Editor: Post-editing Sentences with XLNet. CoRR Yong-Siang Shih, Wei-Cheng Chang, Yiming Yang
2019	A*	`conf`	XLNet: Generalized Autoregressive Pretraining for Language Understanding. NeurIPS Zhilin Yang, Zihang Dai, Yiming Yang, Jaime G. Carbonell, Ruslan Salakhutdinov, Quoc V. Le
2019	J	`jnl`	XLNet: Generalized Autoregressive Pretraining for Language Understanding. CoRR Zhilin Yang, Zihang Dai, Yiming Yang, Jaime G. Carbonell, Ruslan Salakhutdinov, Quoc V. Le
2018	J	`jnl`	DARTS: Differentiable Architecture Search. CoRR Hanxiao Liu, Karen Simonyan, Yiming Yang
2018	A*	`conf`	Deep Learning for Epidemiological Predictions. SIGIR Yuexin Wu, Yiming Yang, Hiroshi Nishiura, Masaya Saitoh
2018	—	`conf`	Graph Convolutional Matrix Completion for Bipartite Edge Prediction. KDIR Yuexin Wu, Hanxiao Liu, Yiming Yang
2018	Misc	`conf`	Large-scale Machine Learning over Graphs. ICTIR Yiming Yang
2018	B	`conf`	Low-resource Cross-lingual Event Type Detection via Distant Supervision with Minimal Effort. COLING Aldrian Obaja Muis, Naoki Otani, Nidhi Vyas, Ruochen Xu, Yiming Yang, Teruko Mitamura, Eduard H. Hovy
2018	A*	`conf`	Modeling Long- and Short-Term Temporal Patterns with Deep Neural Networks. SIGIR Guokun Lai, Wei-Cheng Chang, Yiming Yang, Hanxiao Liu
2018	J	`jnl`	Stochastic WaveNet: A Generative Latent Variable Model for Sequential Data. CoRR Guokun Lai, Bohan Li, Guoqing Zheng, Yiming Yang
2018	J	`jnl`	Switch-based Active Deep Dyna-Q: Efficient Adaptive Planning for Task-Completion Dialogue Policy Learning. CoRR Yuexin Wu, Xiujun Li, Jingjing Liu, Jianfeng Gao, Yiming Yang
2018	J	`jnl`	The ARIEL-CMU situation frame detection pipeline for LoReHLT16: a model translation approach. Mach. Transl. Patrick Littell, Tian Tian, Ruochen Xu, Zaid Sheikh, David R. Mortensen, Lori S. Levin, Francis M. Tyers, Hiroaki Hayashi, Graham Horwood, Steve Sloto, Emily Tagtow, Alan W. Black, Yiming Yang, Teruko Mitamura, Eduard H. Hovy
2018	A*	`conf`	Unsupervised Cross-lingual Transfer of Word Embedding Spaces. EMNLP Ruochen Xu, Yiming Yang, Naoki Otani, Yuexin Wu
2018	J	`jnl`	Unsupervised Cross-lingual Transfer of Word Embedding Spaces. CoRR Ruochen Xu, Yiming Yang, Naoki Otani, Yuexin Wu
2017	J	`jnl`	Analogical Inference for Multi-Relational Embeddings. CoRR Hanxiao Liu, Yuexin Wu, Yiming Yang
2017	A*	`conf`	Analogical Inference for Multi-relational Embeddings. ICML Hanxiao Liu, Yuexin Wu, Yiming Yang
2017	—	`conf`	CMU CS Event TAC-KBP2017 Event Argument Extraction System. TAC Andrew Hsi, Jaime G. Carbonell, Yiming Yang
2017	J	`jnl`	Co-Clustering for Multitask Learning. CoRR Keerthiram Murugesan, Jaime G. Carbonell, Yiming Yang
2017	J	`jnl`	Convolutional Normalizing Flows. CoRR Guoqing Zheng, Yiming Yang, Jaime G. Carbonell
2017	A*	`conf`	Cross-Domain Kernel Induction for Transfer Learning. AAAI Wei-Cheng Chang, Yuexin Wu, Hanxiao Liu, Yiming Yang
2017	—	`conf`	Cross-lingual Distillation for Text Classification. ACL (1) Ruochen Xu, Yiming Yang
2017	A*	`conf`	Data-driven Random Fourier Features using Stein Effect. IJCAI Wei-Cheng Chang, Chun-Liang Li, Yiming Yang, Barnabás Póczos
2017	J	`jnl`	Data-driven Random Fourier Features using Stein Effect. CoRR Wei-Cheng Chang, Chun-Liang Li, Yiming Yang, Barnabás Póczos
2017	A*	`conf`	Deep Learning for Extreme Multi-label Text Classification. SIGIR Jingzhou Liu, Wei-Cheng Chang, Yuexin Wu, Yiming Yang
2017	A	`conf`	Experiments in Curation: Towards Machine-Assisted Construction of Software Architecture Knowledge Bases. ICSA Ian Gorton, Ruochen Xu, Yiming Yang, Hanxiao Liu, Guoqing Zheng
2017	J	`jnl`	Learning Graph Convolution Filters from Data Manifold. CoRR Guokun Lai, Hanxiao Liu, Yiming Yang
2017	J	`jnl`	Likelihood Almost Free Inference Networks. CoRR Guoqing Zheng, Yiming Yang, Jaime G. Carbonell
2017	—	`conf`	MMD GAN: Towards Deeper Understanding of Moment Matching Network. NIPS Chun-Liang Li, Wei-Cheng Chang, Yu Cheng, Yiming Yang, Barnabás Póczos
2017	J	`jnl`	MMD GAN: Towards Deeper Understanding of Moment Matching Network. CoRR Chun-Liang Li, Wei-Cheng Chang, Yu Cheng, Yiming Yang, Barnabás Póczos
2017	J	`jnl`	Modeling Long- and Short-Term Temporal Patterns with Deep Neural Networks. CoRR Guokun Lai, Wei-Cheng Chang, Yiming Yang, Hanxiao Liu
2017	A*	`conf`	RACE: Large-scale ReAding Comprehension Dataset From Examinations. EMNLP Guokun Lai, Qizhe Xie, Hanxiao Liu, Yiming Yang, Eduard H. Hovy
2017	J	`jnl`	RACE: Large-scale ReAding Comprehension Dataset From Examinations. CoRR Guokun Lai, Qizhe Xie, Hanxiao Liu, Yiming Yang, Eduard H. Hovy
2016	—	`conf`	Adaptive Smoothed Online Multi-Task Learning. NIPS Keerthiram Murugesan, Hanxiao Liu, Jaime G. Carbonell, Yiming Yang
2016	—	`conf`	CMU CS Event TAC-KBP2016 Event Argument Extraction System. TAC Andrew Hsi, Jaime G. Carbonell, Yiming Yang
2016	A*	`conf`	Cross-Graph Learning of Multi-Relational Associations. ICML Hanxiao Liu, Yiming Yang
2016	J	`jnl`	Cross-Graph Learning of Multi-Relational Associations. CoRR Hanxiao Liu, Yiming Yang
2016	A	`conf`	Cross-lingual Text Classification via Model Translation with Limited Dictionaries. CIKM Ruochen Xu, Yiming Yang, Hanxiao Liu, Andrew Hsi
2016	B	`conf`	Data-driven Automated Induction of Prerequisite Structure Graphs. EDM Devendra Singh Chaplot, Yiming Yang, Jaime G. Carbonell, Kenneth R. Koedinger
2016	A*	`conf`	Efficient Shift-Invariant Dictionary Learning. KDD Guoqing Zheng, Yiming Yang, Jaime G. Carbonell
2016	J	`jnl`	Learning Concept Graphs from Online Educational Data. J. Artif. Intell. Res. Hanxiao Liu, Wanli Ma, Yiming Yang, Jaime G. Carbonell
2016	B	`conf`	Leveraging Multilingual Training for Limited Resource Event Extraction. COLING Andrew Hsi, Yiming Yang, Jaime G. Carbonell, Ruochen Xu
2016	A	`conf`	Semi-Supervised Learning with Adaptive Spectral Transform. AISTATS Hanxiao Liu, Yiming Yang
2015	A*	`conf`	Bipartite Edge Prediction via Transductive Learning over Product Graphs. ICML Hanxiao Liu, Yiming Yang
2015	A	`conf`	Concept Graph Learning from Educational Data. WSDM Yiming Yang, Hanxiao Liu, Jaime G. Carbonell, Wanli Ma
2015	J	`jnl`	Hierarchical Bayesian Inference and Recursive Regularization for Large-Scale Classification. ACM Trans. Knowl. Discov. Data Siddharth Gopal, Yiming Yang
2015	—	`conf`	Modeling Event Extraction via Multilingual Data Sources. TAC Andrew Hsi, Jaime G. Carbonell, Yiming Yang
2014	A	`conf`	Transformation-based Probabilistic Clustering with Supervision. UAI Siddharth Gopal, Yiming Yang
2014	A*	`conf`	Von Mises-Fisher Clustering Models. ICML Siddharth Gopal, Yiming Yang
2013	—	`conf`	Distributed training of Large-scale Logistic models. ICML (2) Siddharth Gopal, Yiming Yang
2013	A*	`conf`	Recursive regularization for large-scale classification with hierarchical and graphical dependencies. KDD Siddharth Gopal, Yiming Yang
2012	A	`conf`	A unified optimization framework for auction and guaranteed delivery in online advertising. CIKM Konstantin Salomatin, Tie-Yan Liu, Yiming Yang
2012	—	`conf`	Bayesian models for Large-scale Hierarchical Classification. NIPS Siddharth Gopal, Yiming Yang, Bing Bai, Alexandru Niculescu-Mizil
2012	J	`jnl`	Multilabel classification with meta-level features in a learning-to-rank framework. Mach. Learn. Yiming Yang, Siddharth Gopal
2011	A	`conf`	Modeling personalized email prioritization: classification-based and regression-based approaches. CIKM Shinjae Yoo, Yiming Yang, Jaime G. Carbonell
2011	—	`conf`	Statistical Learning for File-Type Identification. ICMLA (1) Siddharth Gopal, Yiming Yang, Konstantin Salomatin, Jaime G. Carbonell
2010	A*	`conf`	Active Learning for Multi-Task Adaptive Filtering. ICML Abhay Harpale, Yiming Yang
2010	A	`conf`	Active Ordering of Interactive Prediction Tasks. SDM Abhimanyu Lad, Yiming Yang
2010	A	`conf`	CiteData: a new multi-faceted dataset for evaluating personalized search performance. CIKM Abhay Harpale, Yiming Yang, Siddharth Gopal, Daqing He, Zhen Yue
2010	A	`conf`	Learning to rank relevant and novel documents through user feedback. CIKM Abhimanyu Lad, Yiming Yang
2010	A*	`conf`	Multilabel classification with meta-level features. SIGIR Siddharth Gopal, Yiming Yang
2010	J	`jnl`	Personalized Email Prioritization Based on Content and Social Network Analysis. IEEE Intell. Syst. Yiming Yang, Shinjae Yoo, Frank Lin, Il-Chul Moon
2009	—	`conf`	Graph Structure Learning for Task Ordering. ICEIS (2) Yiming Yang, Abhimanyu Lad, Henry Shu, Bryan Kisiel, Chad M. Cumby, Rayid Ghani, Katharina Probst
2009	A*	`conf`	Mining social networks for personalized email prioritization. KDD Shinjae Yoo, Yiming Yang, Frank Lin, Il-Chul Moon
2009	Misc	`conf`	Modeling Expected Utility of Multi-session Information Distillation. ICTIR Yiming Yang, Abhimanyu Lad
2009	A	`conf`	Multi-field Correlated Topic Modeling. SDM Konstantin Salomatin, Yiming Yang, Abhimanyu Lad
2009	—	`conf`	Protein Identification from Tandem Mass Spectra with Probabilistic Language Modeling. ECML/PKDD (2) Yiming Yang, Abhay Harpale, Subramaniam Ganapathy
2009	A*	`conf`	Protein identification as an information retrieval problem. SIGIR Yiming Yang, Subramaniam Ganapathy, Abhay Harpale
2009	A	`conf`	Toward Optimal Ordering of Prediction Tasks. SDM Abhimanyu Lad, Yiming Yang, Rayid Ghani, Bryan Kisiel
2008	J	`jnl`	An evaluation of adaptive filtering in the context of realistic task-based information exploration. Inf. Process. Manag. Daqing He, Peter Brusilovsky, Jae-wook Ahn, Jonathan Grady, Rosta Farzan, Yefei Peng, Yiming Yang, Monica Rogati
2008	A	`conf`	Corpus microsurgery: criteria optimization for medical cross-language ir. CIKM Monica Rogati, Yiming Yang, Jaime G. Carbonell
2008	J	`jnl`	Flexible latent variable models for multi-task learning. Mach. Learn. Jian Zhang, Zoubin Ghahramani, Yiming Yang
2008	A*	`conf`	Personalized active learning for collaborative filtering. SIGIR Abhay Harpale, Yiming Yang
2008	J	`jnl`	Text categorization. Scholarpedia Yiming Yang, Thorsten Joachims
2007	A	`conf`	Generalizing from relevance feedback using named entity wildcards. CIKM Abhimanyu Lad, Yiming Yang
2007	A*	`conf`	Utility-based information distillation over temporally sequenced documents. SIGIR Yiming Yang, Abhimanyu Lad, Ni Lao, Abhay Harpale, Bryan Kisiel, Monica Rogati
2005	—	`conf`	An experimental study on large-scale web categorization. WWW (Special interest tracks and posters) Tie-Yan Liu, Yiming Yang, Hao Wan, Qian Zhou, Bin Gao, Hua-Jun Zeng, Zheng Chen, Wei-Ying Ma
2005	A*	`conf`	Analysis of recursive feature elimination methods. SIGIR Fan Li, Yiming Yang
2005	J	`jnl`	Analysis of recursive gene selection approaches from microarray data. Bioinform. Fan Li, Yiming Yang
2005	Misc	`conf`	Combining Categorization-based and Corpus-based Approaches for CLIR. FLAIRS Yiming Yang, Monica Rogati, Bryan Kisiel
2005	—	`conf`	From Lasso regression to Feature vector machine. NIPS Fan Li, Yiming Yang, Eric P. Xing
2005	—	`conf`	Learning Multiple Related Tasks using Latent Independent Component Analysis. NIPS Jian Zhang, Zoubin Ghahramani, Yiming Yang
2005	A*	`conf`	Robustness of adaptive filtering methods in a cross-benchmark evaluation. SIGIR Yiming Yang, Shinjae Yoo, Jian Zhang, Bryan Kisiel
2005	J	`jnl`	Support vector machines classification with a very large-scale taxonomy. SIGKDD Explor. Tie-Yan Liu, Yiming Yang, Hao Wan, Hua-Jun Zeng, Zheng Chen, Wei-Ying Ma
2005	A*	`conf`	Using Modified Lasso Regression to Learn Large Undirected Graphs in a Probabilistic Framework. AAAI Fan Li, Yiming Yang
2005	Misc	`conf`	Using recursive classification to discover predictive features. SAC Fan Li, Yiming Yang
2004	—	`conf`	A Probabilistic Model for Online Document Clustering with Application to Novelty Detection. NIPS Jian Zhang, Zoubin Ghahramani, Yiming Yang
2004	—	`conf`	Applying CLIR Techniques to Event Tracking. AIRS Nianli Ma, Yiming Yang, Monica Rogati
2004	—	`conf`	Customizing Parallel Corpora at the Document Level. ACL (Poster and Demonstration) Monica Rogati, Yiming Yang
2004	—	`conf`	Introducing the Enron Corpus. CEAS Bryan Klimt, Yiming Yang
2004	B	`conf`	Learning Table Extraction from Examples. COLING Ashwin Tengli, Yiming Yang, Nianli Ma
2004	A*	`conf`	Probabilistic score estimation with piecewise logistic regression. ICML Jian Zhang, Yiming Yang
2004	J	`jnl`	RCV1: A New Benchmark Collection for Text Categorization Research. J. Mach. Learn. Res. David D. Lewis, Yiming Yang, Tony G. Rose, Fan Li
2004	A*	`conf`	Resource selection for domain-specific cross-lingual IR. SIGIR Monica Rogati, Yiming Yang
2004	—	`conf`	The Enron Corpus: A New Dataset for Email Classification Research. ECML Bryan Klimt, Yiming Yang
2003	A*	`conf`	A Loss Function Analysis for Classification Methods in Text Categorization. ICML Fan Li, Yiming Yang
2003	A*	`conf`	A scalability analysis of classifiers in text categorization. SIGIR Yiming Yang, Jian Zhang, Bryan Kisiel
2003	—	`conf`	CONTROL: CLEF-2003 with Open, Transparent Resources Off-Line. CLEF (Working Notes) Monica Rogati, Yiming Yang
2003	A	`conf`	Margin-based local regression for adaptive filtering. CIKM Yiming Yang, Bryan Kisiel
2003	A*	`conf`	Modified Logistic Regression: An Approximation to SVM and Its Applications in Large-Scale Text Categorization. ICML Jian Zhang, Rong Jin, Yiming Yang, Alexander G. Hauptmann
2003	—	`conf`	Multilingual Information Retrieval Using Open, Transparent Resources in CLEF 2003. CLEF Monica Rogati, Yiming Yang
2003	A*	`conf`	Robustness of regularized linear classification methods in text categorization. SIGIR Jian Zhang, Yiming Yang
2003	A*	`conf`	Unsupervised Learning of Arabic Stemming Using a Parallel Corpus. ACL Monica Rogati, J. Scott McCarley, Yiming Yang
2002	J	`jnl`	A Study of Approaches to Hypertext Categorization. J. Intell. Inf. Syst. Yiming Yang, Seán Slattery, Rayid Ghani
2002	A	`conf`	Boosting to correct inductive bias in text classification. CIKM Yan Liu, Yiming Yang, Jaime G. Carbonell
2002	—	`conf`	CMU in Cross-Language Information Retrieval at NTCIR-3. NTCIR Yiming Yang, Nianli Ma
2002	A	`conf`	High-performing feature selection for text classification. CIKM Monica Rogati, Yiming Yang
2002	J	`jnl`	Information Filtering in TREC-9 and TDT-3: A Comparative Analysis. Inf. Retr. Tom Ault, Yiming Yang
2002	—	`conf`	Stochastic Link and Group Detection. AAAI/IAAI Jeremy Kubica, Andrew W. Moore, Jeff G. Schneider, Yiming Yang
2002	A*	`conf`	Topic-conditioned novelty detection. KDD Yiming Yang, Jian Zhang, Jaime G. Carbonell, Chun Jin
2001	A*	`conf`	A Study on Thresholding Strategies for Text Categorization. SIGIR Yiming Yang
2001	—	`conf`	CMU PRF using a Comparable Corpus. CLEF (Working Notes) Monica Rogati, Yiming Yang
2001	—	`conf`	Cross-Lingual Pseudo-Relevance Feedback Using a Comparable Corpus. CLEF Monica Rogati, Yiming Yang
2001	A*	`conf`	Hypertext Categorization using Hyperlink Patterns and Meta Data. ICML Rayid Ghani, Seán Slattery, Yiming Yang
2001	—	`conf`	kNN, Rocchio and Metrics for Information Filtering at TREC-10. TREC Tom Ault, Yiming Yang
2000	A*	`conf`	Combining Multiple Learning Strategies for Effective Cross Validation. ICML Yiming Yang, Tom Ault, Thomas Pierce
2000	A*	`conf`	Improving text categorization methods for event tracking. SIGIR Yiming Yang, Tom Ault, Thomas Pierce, Charles W. Lattimer
2000	J	`jnl`	Special Issue of Machine Learning on Information Retrieval - Introduction. Mach. Learn. Jaime G. Carbonell, Yiming Yang, William W. Cohen
2000	—	`conf`	kNN at TREC-9. TREC Tom Ault, Yiming Yang
1999	A*	`conf`	A Re-Examination of Text Categorization Methods. SIGIR Yiming Yang, Xin Liu
1999	J	`jnl`	An Evaluation of Statistical Approaches to Text Categorization. Inf. Retr. Yiming Yang
1999	J	`jnl`	Intelligent information retrieval. IEEE Intell. Syst. Yiming Yang, Jan O. Pedersen
1999	J	`jnl`	Learning approaches for detecting and tracking news events. IEEE Intell. Syst. Yiming Yang, Jaime G. Carbonell, Ralf D. Brown, Thomas Pierce, Blair Archibald, Xin Liu
1998	A*	`conf`	A Study of Retrospective and On-Line Event Detection. SIGIR Yiming Yang, Thomas Pierce, Jaime G. Carbonell
1998	J	`jnl`	Translingual Information Retrieval: Learning from Bilingual Corpora. Artif. Intell. Yiming Yang, Jaime G. Carbonell, Ralf D. Brown, Robert E. Frederking
1997	A*	`conf`	A Comparative Study on Feature Selection in Text Categorization. ICML Yiming Yang, Jan O. Pedersen
1997	—	`conf`	Translingual Information Retrieval: A Comparative Evaluation. IJCAI (1) Jaime G. Carbonell, Yiming Yang, Robert E. Frederking, Ralf D. Brown, Yibing Geng, Danny Lee
1996	J	`jnl`	An analysis of statistical term strength and its use in the indexing and retrieval of molecular biology texts. Comput. Biol. Medicine W. John Wilbur, Yiming Yang
1996	J	`jnl`	Using Corpus Statistics to Remove Redundant Words in Text Categorization. J. Am. Soc. Inf. Sci. Yiming Yang, W. John Wilbur
1995	A*	`conf`	Noise Reduction in a Statistical Approach to Text Categorization. SIGIR Yiming Yang
1994	J	`jnl`	An Example-Based Mapping Method for Text Categorization and Retrieval. ACM Trans. Inf. Syst. Yiming Yang, Christopher G. Chute
1994	—	`conf`	TREC-3 Retrieval Evaluation Using Expert Network. TREC Yiming Yang, Christopher G. Chute, Geoffrey E. Atkin, Andrew Anda
1993	A*	`conf`	An Application of Least Squares Fit Mapping to Text Information Retrieval. SIGIR Yiming Yang, Christopher G. Chute
1992	B	`conf`	A Linear Least Squares Fit Mapping Method For Information Retrieval From Natural Language Texts. COLING Yiming Yang, Christopher G. Chute
1985	A*	`conf`	Partial Constraints in Chinese Analysis. IJCAI Yiming Yang, Shuji Doshita, Toyoaki Nishida
1984	B	`conf`	Use Of Heuristic Knowledge In Chinese Language Analysis. COLING Yiming Yang, Toyoaki Nishida, Shuji Doshita