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ORCIDYiming Yang 0002
Person information
- affiliation: Carnegie Mellon University, Language Technologies Institute, Pittsburgh, PA, USA
- affiliation (PhD 1996): Kyoto University, Japan
Other persons with the same name
- Yiming Yang — disambiguation page
- Yiming Yang 0001
![[0009-0005-7466-1041]](https://dblp.uni-trier.de/img/orcid-mark.12x12.png "0009-0005-7466-1041")
— Chinese University of Hong Kong, School of Science and Engineering, Future Network of Intelligence Institute (FNii), Shenzhen, China (and 1 more)
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2020 – today
- 2026
[j24]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, Tatiana Korchuganova, Kenny Lo, Verena Ingrid Martinez Outschoorn, Paul Nilsson, David K. Park, Norbert Podhorszki, Yihui Ren, John Rembrandt Steele, Frédéric Suter, Sairam Sri Vatsavai, Wei Yang, Yiming Yang, Shinjae Yoo, Alexei Klimentov:
Predicting Job Turnaround Time in Large-Scale Distributed Computing Environments with Graph Neural Networks. EPJ Res. Infrastructures 10(1): 14 (2026)- [j23]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:
Alternative mixed integer linear programming optimization for joint job scheduling and data allocation in grid computing. Future Gener. Comput. Syst. 175: 108075 (2026) - [j22]Shanda Li, Tanya Marwah, Junhong Shen, Weiwei Sun, Andrej Risteski, Yiming Yang, Ameet Talwalkar:
CodePDE: An Inference Framework for LLM-driven PDE Solver Generation. Trans. Mach. Learn. Res. 2026 (2026) - [c175]Weiwei Sun, Shengyu Feng, Shanda Li, Yiming Yang:
CO-Bench: Benchmarking Language Model Agents in Algorithm Search for Combinatorial Optimization. AAAI 2026: 33126-33134 - [i128]Ningyuan Yang, Weihua Du, Weiwei Sun, Sean Welleck, Yiming Yang:
GradAlign: Gradient-Aligned Data Selection for LLM Reinforcement Learning. CoRR abs/2602.21492 (2026) - [i127]Yangzhen Wu, Shanda Li, Zixin Wen, Xin Zhou, Ameet Talwalkar, Yiming Yang, Wenhao Huang, Tianle Cai:
Learn Hard Problems During RL with Reference Guided Fine-tuning. CoRR abs/2603.01223 (2026) - [i126]Xuhui Zhou, Weiwei Sun, Qianou Ma, Yiqing Xie, Jiarui Liu, Weihua Du, Sean Welleck, Yiming Yang, Graham Neubig, Sherry Tongshuang Wu, Maarten Sap:
Mind the Sim2Real Gap in User Simulation for Agentic Tasks. CoRR abs/2603.11245 (2026) - [i125]Weihua Du, Jingming Zhuo, Yixin Dong, Andre Wang He, Weiwei Sun, Zeyu Zheng, Manupa Karunaratne, Ivan Fox, Tim Dettmers, Tianqi Chen, Yiming Yang, Sean Welleck:
AdaExplore: Failure-Driven Adaptation and Diversity-Preserving Search for Efficient Kernel Generation. CoRR abs/2604.16625 (2026) - [i124]Sijie Li, Shanda Li, Haowei Lin, Weiwei Sun, Ameet Talwalkar, Yiming Yang:
Spend Less, Fit Better: Budget-Efficient Scaling Law Fitting via Active Experiment Selection. CoRR abs/2604.22753 (2026) - [i123]Weiwei Sun, Xuhui Zhou, Jiarui Liu, Weihua Du, Haojia Sun, Yiqing Xie, Qianou Ma, Sihao Chen, Mengting Wan, Longqi Yang, Pei Zhou, Sherry Wu, Sean Welleck, Graham Neubig, Yiming Yang, Maarten Sap:
Reinforcing Human Behavior Simulation via Verbal Feedback. CoRR abs/2605.20506 (2026) - [i122]Shengyu Feng, Tarun Suresh, Yiming Yang:
Unsupervised Diffusion Solver for Combinatorial Optimization via Combinatorial Adjoint Matching. CoRR abs/2605.30920 (2026) - [i121]Xuhui Zhou, Weiwei Sun, Weihua Du, Jiarui Liu, Haojia Sun, Qianou Ma, Tongshuang Wu, Yiming Yang, Maarten Sap:
OdysSim: Building Foundation Models for Human Behavior Simulation. CoRR abs/2606.14199 (2026) - [i120]Shanda Li, Qiuhong Anna Wei, Jingwu Tang, Valerie Chen, Nihar B. Shah, Tim Dettmers, Yiming Yang, Ameet Talwalkar:
ReproRepo: Scaling Reproducibility Audits with GitHub Repository Issues. CoRR abs/2606.18237 (2026) - 2025
- [c174]Shengyu Feng, Yiming Yang:
SORREL: Suboptimal-Demonstration-Guided Reinforcement Learning for Learning to Branch. AAAI 2025: 11212-11220 - [c173]Ruohong Zhang, Bowen Zhang, Yanghao Li, Haotian Zhang, Zhiqing Sun, Zhe Gan, Yinfei Yang, Ruoming Pang, Yiming Yang:
Improve Vision Language Model Chain-of-thought Reasoning. ACL (1) 2025: 1631-1662 - [c172]Weihua Du, Pranjal Aggarwal, Sean Welleck, Yiming Yang:
Agentic-R1: Distilled Dual-Strategy Reasoning. EMNLP 2025: 12029-12043 - [c171]Shengyu Feng, Xiang Kong, Shuang Ma, Aonan Zhang, Dong Yin, Chong Wang, Ruoming Pang, Yiming Yang:
Step-by-Step Reasoning for Math Problems via Twisted Sequential Monte Carlo. ICLR 2025 - [c170]Haohan Lin, Zhiqing Sun, Sean Welleck, Yiming Yang:
Lean-STaR: Learning to Interleave Thinking and Proving. ICLR 2025 - [c169]Yangzhen Wu, Zhiqing Sun, Shanda Li, Sean Welleck, Yiming Yang:
Inference Scaling Laws: An Empirical Analysis of Compute-Optimal Inference for LLM Problem-Solving. ICLR 2025 - [c168]Yue Wu, Zhiqing Sun, Huizhuo Yuan, Kaixuan Ji, Yiming Yang, Quanquan Gu:
Self-Play Preference Optimization for Language Model Alignment. ICLR 2025 - [c167]Weihua Du, Yiming Yang, Sean Welleck:
Optimizing Temperature for Language Models with Multi-Sample Inference. ICML 2025 - [c166]Shengyu Feng, Yiming Yang:
Regularized Langevin Dynamics for Combinatorial Optimization. ICML 2025 - [c165]Shanda Li, Shinjae Yoo, Yiming Yang:
Maximal Update Parametrization and Zero-Shot Hyperparameter Transfer for Fourier Neural Operators. ICML 2025 - [c164]Ruohong Zhang, Liangke Gui, Zhiqing Sun, Yihao Feng, Keyang Xu, Yuanhan Zhang, Di Fu, Chunyuan Li, Alexander G. Hauptmann, Yonatan Bisk, Yiming Yang:
Direct Preference Optimization of Video Large Multimodal Models from Language Model Reward. NAACL (Long Papers) 2025: 694-717 - [c163]Jaehyung Kim, Yiming Yang:
Few-shot Personalization of LLMs with Mis-aligned Responses. NAACL (Long Papers) 2025: 11943-11974 - [c162]Yiqun Chen, Lingyong Yan, Weiwei Sun, Xinyu Ma, Yi Zhang, Shuaiqiang Wang, Dawei Yin, Yiming Yang, Jiaxin Mao:
Improving Retrieval-Augmented Generation through Multi-Agent Reinforcement Learning. NeurIPS 2025 - [c161]Weiwei Sun, Haokun Liu, Nikhil Kandpal, Colin A. Raffel, Yiming Yang:
Enhancing Training Data Attribution with Representational Optimization. NeurIPS 2025 - [c160]Hao Wu, Li Yan, Changjun Chen, Binbing Wang, Yuquan Zhou, Yiming Yang:
VRGNet: A Relative Geometric-Driven Network for Point Cloud Registration with Virtual Correspondences. PRICAI (5) 2025: 232-247 - [c159]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:
Data Management System Analysis for Distributed Computing Workloads. SC Workshops 2025: 279-289 - [c158]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:
Error Analysis of Globally Distributed Workflow Management System. SC Workshops 2025: 968-976 - [c157]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:
CGSim: A Simulation Framework for Large Scale Distributed Computing Environment. SC Workshops 2025: 1478-1483 - [i119]Yiqun Chen, Lingyong Yan, Weiwei Sun, Xinyu Ma, Yi Zhang, Shuaiqiang Wang, Dawei Yin, Yiming Yang, Jiaxin Mao:
Improving Retrieval-Augmented Generation through Multi-Agent Reinforcement Learning. CoRR abs/2501.15228 (2025) - [i118]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:
Alternative Mixed Integer Linear Programming Optimization for Joint Job Scheduling and Data Allocation in Grid Computing. CoRR abs/2502.00261 (2025) - [i117]Shengyu Feng, Yiming Yang:
Regularized Langevin Dynamics for Combinatorial Optimization. CoRR abs/2502.00277 (2025) - [i116]Weihua Du, Yiming Yang, Sean Welleck:
Optimizing Temperature for Language Models with Multi-Sample Inference. CoRR abs/2502.05234 (2025) - [i115]Weiwei Sun, Shengyu Feng, Shanda Li, Yiming Yang:
CO-Bench: Benchmarking Language Model Agents in Algorithm Search for Combinatorial Optimization. CoRR abs/2504.04310 (2025) - [i114]Shanda Li, Tanya Marwah, Junhong Shen, Weiwei Sun, Andrej Risteski, Yiming Yang, Ameet Talwalkar:
CodePDE: An Inference Framework for LLM-driven PDE Solver Generation. CoRR abs/2505.08783 (2025) - [i113]Shengyu Feng, Weiwei Sun, Shanda Li, Ameet Talwalkar, Yiming Yang:
A Comprehensive Evaluation of Contemporary ML-Based Solvers for Combinatorial Optimization. CoRR abs/2505.16952 (2025) - [i112]Weiwei Sun, Haokun Liu, Nikhil Kandpal, Colin Raffel, Yiming Yang:
Enhancing Training Data Attribution with Representational Optimization. CoRR abs/2505.18513 (2025) - [i111]Baihe Huang, Shanda Li, Tianhao Wu, Yiming Yang, Ameet Talwalkar, Kannan Ramchandran, Michael I. Jordan, Jiantao Jiao:
Sample Complexity and Representation Ability of Test-time Scaling Paradigms. CoRR abs/2506.05295 (2025) - [i110]Shanda Li, Shinjae Yoo, Yiming Yang:
Maximal Update Parametrization and Zero-Shot Hyperparameter Transfer for Fourier Neural Operators. CoRR abs/2506.19396 (2025) - [i109]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:
Towards an Introspective Dynamic Model of Globally Distributed Computing Infrastructures. CoRR abs/2506.19578 (2025) - [i108]Sijie Li, Weiwei Sun, Shanda Li, Ameet Talwalkar, Yiming Yang:
Towards Community-Driven Agents for Machine Learning Engineering. CoRR abs/2506.20640 (2025) - [i107]Weihua Du, Pranjal Aggarwal, Sean Welleck, Yiming Yang:
Agentic-R1: Distilled Dual-Strategy Reasoning. CoRR abs/2507.05707 (2025) - [i106]Shengyu Feng, Zhiqing Sun, Yiming Yang:
SPL-LNS: Sampling-Enhanced Large Neighborhood Search for Solving Integer Linear Programs. CoRR abs/2508.16171 (2025) - [i105]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:
Machine Learning-Driven Predictive Resource Management in Complex Science Workflows. CoRR abs/2509.11512 (2025) - [i104]Weihua Du, Hailei Gong, Zhan Ling, Kang Liu, Lingfeng Shen, Xuesong Yao, Yufei Xu, Dingyuan Shi, Yiming Yang, Jiecao Chen:
Generalizable End-to-End Tool-Use RL with Synthetic CodeGym. CoRR abs/2509.17325 (2025) - [i103]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:
CGSim: A Simulation Framework for Large Scale Distributed Computing Environment. CoRR abs/2510.00822 (2025) - [i102]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:
Data Management System Analysis for Distributed Computing Workloads. CoRR abs/2510.00828 (2025) - [i101]Weiwei Sun, Keyi Kong, Xinyu Ma, Shuaiqiang Wang, Dawei Yin, Maarten de Rijke, Zhaochun Ren, Yiming Yang:
ZeroGR: A Generalizable and Scalable Framework for Zero-Shot Generative Retrieval. CoRR abs/2510.10419 (2025) - [i100]Weiwei Sun, Miao Lu, Zhan Ling, Kang Liu, Xuesong Yao, Yiming Yang, Jiecao Chen:
Scaling Long-Horizon LLM Agent via Context-Folding. CoRR abs/2510.11967 (2025) - [i99]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:
Dual-Weighted Reinforcement Learning for Generative Preference Modeling. CoRR abs/2510.15242 (2025) - [i98]Weiwei Sun, Xuhui Zhou, Weihua Du, Xingyao Wang, Sean Welleck, Graham Neubig, Maarten Sap, Yiming Yang:
Training Proactive and Personalized LLM Agents. CoRR abs/2511.02208 (2025) - [i97]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:
Deep Research: A Systematic Survey. CoRR abs/2512.02038 (2025) - 2024
- [c156]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:
Aligning Large Multimodal Models with Factually Augmented RLHF. ACL (Findings) 2024: 13088-13110 - [c155]Ruohong Zhang, Yau-Shian Wang, Yiming Yang:
Generation-driven Contrastive Self-training for Zero-shot Text Classification with Instruction-following LLM. EACL (1) 2024: 659-673 - [c154]Jaehyung Kim, Dongyoung Kim, Yiming Yang:
Learning to Correct for QA Reasoning with Black-box LLMs. EMNLP 2024: 8916-8937 - [c153]Shanda Li, Chong You, Guru Guruganesh, Joshua Ainslie, Santiago Ontañón, Manzil Zaheer, Sumit Sanghai, Yiming Yang, Sanjiv Kumar, Srinadh Bhojanapalli:
Functional Interpolation for Relative Positions improves Long Context Transformers. ICLR 2024 - [c152]Alexander Shypula, Aman Madaan, Yimeng Zeng, Uri Alon, Jacob R. Gardner, Yiming Yang, Milad Hashemi, Graham Neubig, Parthasarathy Ranganathan, Osbert Bastani, Amir Yazdanbakhsh:
Learning Performance-Improving Code Edits. ICLR 2024 - [c151]Zhiqing Sun, Yikang Shen, Hongxin Zhang, Qinhong Zhou, Zhenfang Chen, David Daniel Cox, Yiming Yang, Chuang Gan:
SALMON: Self-Alignment with Instructable Reward Models. ICLR 2024 - [c150]Tianjun Zhang, Aman Madaan, Luyu Gao, Steven Zheng, Swaroop Mishra, Yiming Yang, Niket Tandon, Uri Alon:
In-Context Principle Learning from Mistakes. ICML 2024: 59520-59558 - [c149]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:
AutoMix: Automatically Mixing Language Models. NeurIPS 2024 - [c148]Zhiqing Sun, Longhui Yu, Yikang Shen, Weiyang Liu, Yiming Yang, Sean Welleck, Chuang Gan:
Easy-to-Hard Generalization: Scalable Alignment Beyond Human Supervision. NeurIPS 2024 - [c147]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:
AI Surrogate Model for Distributed Computing Workloads. SC Workshops 2024: 79-86 - [c146]Yiming Yang:
Representation Learning and Information Retrieval. SIGIR 2024: 1-2 - [i96]Syeda Nahida Akter, Aman Madaan, Sangwu Lee, Yiming Yang, Eric Nyberg:
Self-Imagine: Effective Unimodal Reasoning with Multimodal Models using Self-Imagination. CoRR abs/2401.08025 (2024) - [i95]Tianjun Zhang, Aman Madaan, Luyu Gao, Steven Zheng, Swaroop Mishra, Yiming Yang, Niket Tandon, Uri Alon:
In-Context Principle Learning from Mistakes. CoRR abs/2402.05403 (2024) - [i94]Zhiying Zhu, Zhiqing Sun, Yiming Yang:
HaluEval-Wild: Evaluating Hallucinations of Language Models in the Wild. CoRR abs/2403.04307 (2024) - [i93]Zhiqing Sun, Longhui Yu, Yikang Shen, Weiyang Liu, Yiming Yang, Sean Welleck, Chuang Gan:
Easy-to-Hard Generalization: Scalable Alignment Beyond Human Supervision. CoRR abs/2403.09472 (2024) - [i92]Ruohong Zhang, Liangke Gui, Zhiqing Sun, Yihao Feng, Keyang Xu, Yuanhan Zhang, Di Fu, Chunyuan Li, Alexander Hauptmann, Yonatan Bisk, Yiming Yang:
Direct Preference Optimization of Video Large Multimodal Models from Language Model Reward. CoRR abs/2404.01258 (2024) - [i91]Yue Wu, Zhiqing Sun, Huizhuo Yuan, Kaixuan Ji, Yiming Yang, Quanquan Gu:
Self-Play Preference Optimization for Language Model Alignment. CoRR abs/2405.00675 (2024) - [i90]Jaehyung Kim, Yiming Yang:
Few-shot Personalization of LLMs with Mis-aligned Responses. CoRR abs/2406.18678 (2024) - [i89]Jaehyung Kim, Dongyoung Kim, Yiming Yang:
Learning to Correct for QA Reasoning with Black-box LLMs. CoRR abs/2406.18695 (2024) - [i88]Haohan Lin, Zhiqing Sun, Yiming Yang, Sean Welleck:
Lean-STaR: Learning to Interleave Thinking and Proving. CoRR abs/2407.10040 (2024) - [i87]Yangzhen Wu, Zhiqing Sun, Shanda Li, Sean Welleck, Yiming Yang:
An Empirical Analysis of Compute-Optimal Inference for Problem-Solving with Language Models. CoRR abs/2408.00724 (2024) - [i86]Shengyu Feng, Xiang Kong, Shuang Ma, Aonan Zhang, Dong Yin, Chong Wang, Ruoming Pang, Yiming Yang:
Step-by-Step Reasoning for Math Problems via Twisted Sequential Monte Carlo. CoRR abs/2410.01920 (2024) - [i85]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:
AI Surrogate Model for Distributed Computing Workloads. CoRR abs/2410.07940 (2024) - [i84]Ruohong Zhang, Bowen Zhang, Yanghao Li, Haotian Zhang, Zhiqing Sun, Zhe Gan, Yinfei Yang, Ruoming Pang, Yiming Yang:
Improve Vision Language Model Chain-of-thought Reasoning. CoRR abs/2410.16198 (2024) - [i83]Shengyu Feng, Yiming Yang:
SORREL: Suboptimal-Demonstration-Guided Reinforcement Learning for Learning to Branch. CoRR abs/2412.15534 (2024) - 2023
- [c145]Yau-Shian Wang, Ta-Chung Chi, Ruohong Zhang, Yiming Yang:
PESCO: Prompt-enhanced Self Contrastive Learning for Zero-shot Text Classification. ACL (1) 2023: 14897-14911 - [c144]Ruohong Zhang, Yau-Shian Wang, Yiming Yang, Donghan Yu, Tom Vu, Likun Lei:
Long-tailed Extreme Multi-label Text Classification by the Retrieval of Generated Pseudo Label Descriptions. EACL (Findings) 2023: 1062-1076 - [c143]Zhengbao Jiang, Frank F. Xu, Luyu Gao, Zhiqing Sun, Qian Liu, Jane Dwivedi-Yu, Yiming Yang, Jamie Callan, Graham Neubig:
Active Retrieval Augmented Generation. EMNLP 2023: 7969-7992 - [c142]Pranjal Aggarwal, Aman Madaan, Yiming Yang, Mausam:
Let's Sample Step by Step: Adaptive-Consistency for Efficient Reasoning and Coding with LLMs. EMNLP 2023: 12375-12396 - [c141]Donghan Yu, Yu Gu, Chenyan Xiong, Yiming Yang:
CompleQA: Benchmarking the Impacts of Knowledge Graph Completion Methods on Question Answering. EMNLP (Findings) 2023: 12748-12755 - [c140]Zhiqing Sun, Xuezhi Wang, Yi Tay, Yiming Yang, Denny Zhou:
Recitation-Augmented Language Models. ICLR 2023 - [c139]Luyu Gao, Aman Madaan, Shuyan Zhou, Uri Alon, Pengfei Liu, Yiming Yang, Jamie Callan, Graham Neubig:
PAL: Program-aided Language Models. ICML 2023: 10764-10799 - [c138]Zhiqing Sun, Yiming Yang, Shinjae Yoo:
A Neural PDE Solver with Temporal Stencil Modeling. ICML 2023: 33135-33155 - [c137]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:
Self-Refine: Iterative Refinement with Self-Feedback. NeurIPS 2023 - [c136]Zhiqing Sun, Yikang Shen, Qinhong Zhou, Hongxin Zhang, Zhenfang Chen, David D. Cox, Yiming Yang, Chuang Gan:
Principle-Driven Self-Alignment of Language Models from Scratch with Minimal Human Supervision. NeurIPS 2023 - [c135]Zhiqing Sun, Yiming Yang:
DIFUSCO: Graph-based Diffusion Solvers for Combinatorial Optimization. NeurIPS 2023 - [c134]Donghan Yu, Yiming Yang:
Retrieval-Enhanced Generative Model for Large-Scale Knowledge Graph Completion. SIGIR 2023: 2334-2338 - [i82]Aman Madaan, Alexander Shypula, Uri Alon, Milad Hashemi, Parthasarathy Ranganathan, Yiming Yang, Graham Neubig, Amir Yazdanbakhsh:
Learning Performance-Improving Code Edits. CoRR abs/2302.07867 (2023) - [i81]Zhiqing Sun, Yiming Yang, Shinjae Yoo:
A Neural PDE Solver with Temporal Stencil Modeling. CoRR abs/2302.08105 (2023) - [i80]Zhiqing Sun, Yiming Yang:
DIFUSCO: Graph-based Diffusion Solvers for Combinatorial Optimization. CoRR abs/2302.08224 (2023) - [i79]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:
Self-Refine: Iterative Refinement with Self-Feedback. CoRR abs/2303.17651 (2023) - [i78]Ruohong Zhang, Yau-Shian Wang, Yiming Yang:
Generation-driven Contrastive Self-training for Zero-shot Text Classification with Instruction-tuned GPT. CoRR abs/2304.11872 (2023) - [i77]Zhiqing Sun, Yikang Shen, Qinhong Zhou, Hongxin Zhang, Zhenfang Chen, David D. Cox, Yiming Yang, Chuang Gan:
Principle-Driven Self-Alignment of Language Models from Scratch with Minimal Human Supervision. CoRR abs/2305.03047 (2023) - [i76]Zhengbao Jiang, Frank F. Xu, Luyu Gao, Zhiqing Sun, Qian Liu, Jane Dwivedi-Yu, Yiming Yang, Jamie Callan, Graham Neubig:
Active Retrieval Augmented Generation. CoRR abs/2305.06983 (2023) - [i75]Pranjal Aggarwal, Aman Madaan, Yiming Yang, Mausam:
Let's Sample Step by Step: Adaptive-Consistency for Efficient Reasoning with LLMs. CoRR abs/2305.11860 (2023) - [i74]Yau-Shian Wang, Ta-Chung Chi, Ruohong Zhang, Yiming Yang:
PESCO: Prompt-enhanced Self Contrastive Learning for Zero-shot Text Classification. CoRR abs/2305.14963 (2023) - [i73]Junwei Huang, Zhiqing Sun, Yiming Yang:
Accelerating Diffusion-based Combinatorial Optimization Solvers by Progressive Distillation. CoRR abs/2308.06644 (2023) - [i72]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:
Aligning Large Multimodal Models with Factually Augmented RLHF. CoRR abs/2309.14525 (2023) - [i71]Shanda Li, Chong You, Guru Guruganesh, Joshua Ainslie, Santiago Ontañón, Manzil Zaheer, Sumit Sanghai, Yiming Yang, Sanjiv Kumar, Srinadh Bhojanapalli:
Functional Interpolation for Relative Positions Improves Long Context Transformers. CoRR abs/2310.04418 (2023) - [i70]Zhiqing Sun, Yikang Shen, Hongxin Zhang, Qinhong Zhou, Zhenfang Chen, David D. Cox, Yiming Yang, Chuang Gan:
SALMON: Self-Alignment with Principle-Following Reward Models. CoRR abs/2310.05910 (2023) - [i69]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:
AutoMix: Automatically Mixing Language Models. CoRR abs/2310.12963 (2023) - [i68]Ruohong Zhang, Luyu Gao, Chen Zheng, Zhen Fan, Guokun Lai, Zheng Zhang, Fangzhou Ai, Yiming Yang, Hongxia Yang:
A Self-enhancement Approach for Domain-specific Chatbot Training via Knowledge Mining and Digest. CoRR abs/2311.10614 (2023) - 2022
- [c133]Donghan Yu, Chenguang Zhu, Yiming Yang, Michael Zeng:
JAKET: Joint Pre-training of Knowledge Graph and Language Understanding. AAAI 2022: 11630-11638 - [c132]Donghan Yu, Chenguang Zhu, Yuwei Fang, Wenhao Yu, Shuohang Wang, Yichong Xu, Xiang Ren, Yiming Yang, Michael Zeng:
KG-FiD: Infusing Knowledge Graph in Fusion-in-Decoder for Open-Domain Question Answering. ACL (1) 2022: 4961-4974 - [c131]Aman Madaan, Shuyan Zhou, Uri Alon, Yiming Yang, Graham Neubig:
Language Models of Code are Few-Shot Commonsense Learners. EMNLP 2022: 1384-1403 - [c130]Aman Madaan, Niket Tandon, Peter Clark, Yiming Yang:
Memory-assisted prompt editing to improve GPT-3 after deployment. EMNLP 2022: 2833-2861 - [c129]Aman Madaan, Dheeraj Rajagopal, Niket Tandon, Yiming Yang, Antoine Bosselut:
Conditional set generation using Seq2seq models. EMNLP 2022: 4874-4896 - [c128]Zhiqing Sun, Yiming Yang, Shinjae Yoo:
Sparse Attention with Learning to Hash. ICLR 2022 - [c127]Niket Tandon, Aman Madaan, Peter Clark, Yiming Yang:
Learning to repair: Repairing model output errors after deployment using a dynamic memory of feedback. NAACL-HLT (Findings) 2022: 339-352 - [c126]Ruizhong Qiu, Zhiqing Sun, Yiming Yang:
DIMES: A Differentiable Meta Solver for Combinatorial Optimization Problems. NeurIPS 2022 - [i67]Aman Madaan, Niket Tandon, Peter Clark, Yiming Yang:
Memory-assisted prompt editing to improve GPT-3 after deployment. CoRR abs/2201.06009 (2022) - [i66]Ruohong Zhang, Yau-Shian Wang, Yiming Yang, Tom Vu, Likun Lei:
Exploiting Local and Global Features in Transformer-based Extreme Multi-label Text Classification. CoRR abs/2204.00933 (2022) - [i65]Ruohong Zhang, Yau-Shian Wang, Yiming Yang, Donghan Yu, Tom Vu, Likun Lei:
Long-tailed Extreme Multi-label Text Classification with Generated Pseudo Label Descriptions. CoRR abs/2204.00958 (2022) - [i64]Aman Madaan, Dheeraj Rajagopal, Niket Tandon, Yiming Yang, Antoine Bosselut:
Conditional set generation using Seq2seq models. CoRR abs/2205.12485 (2022) - [i63]Aman Madaan, Yiming Yang:
FLOWGEN: Fast and slow graph generation. CoRR abs/2207.07656 (2022) - [i62]Zhiqing Sun, Xuezhi Wang, Yi Tay, Yiming Yang, Denny Zhou:
Recitation-Augmented Language Models. CoRR abs/2210.01296 (2022) - [i61]Ruizhong Qiu, Zhiqing Sun, Yiming Yang:
DIMES: A Differentiable Meta Solver for Combinatorial Optimization Problems. CoRR abs/2210.04123 (2022) - [i60]Aman Madaan, Shuyan Zhou, Uri Alon, Yiming Yang, Graham Neubig:
Language Models of Code are Few-Shot Commonsense Learners. CoRR abs/2210.07128 (2022) - [i59]Luyu Gao, Aman Madaan, Shuyan Zhou, Uri Alon, Pengfei Liu, Yiming Yang, Jamie Callan, Graham Neubig:
PAL: Program-aided Language Models. CoRR abs/2211.10435 (2022) - 2021
- [c125]Aman Madaan, Dheeraj Rajagopal, Niket Tandon, Yiming Yang, Eduard H. Hovy:
Could you give me a hint ? Generating inference graphs for defeasible reasoning. ACL/IJCNLP (Findings) 2021: 5138-5147 - [c124]Amrith Setlur, Aman Madaan, Tanmay Parekh, Yiming Yang, Alan W. Black:
Towards Using Heterogeneous Relation Graphs for End-to-End TTS. ASRU 2021: 1162-1169 - [c123]Aman Madaan, Niket Tandon, Dheeraj Rajagopal, Peter Clark, Yiming Yang, Eduard H. Hovy:
Think about it! Improving defeasible reasoning by first modeling the question scenario. EMNLP (1) 2021: 6291-6310 - [c122]Zhiqing Sun, Shengcao Cao, Yiming Yang, Kris Kitani:
Rethinking Transformer-based Set Prediction for Object Detection. ICCV 2021: 3591-3600 - [c121]Hieu Pham, Xinyi Wang, Yiming Yang, Graham Neubig:
Meta Back-Translation. ICLR 2021 - [c120]Aman Madaan, Yiming Yang:
Neural Language Modeling for Contextualized Temporal Graph Generation. NAACL-HLT 2021: 864-881 - [c119]Jingzhou Liu, Yiming Yang:
Enhancing Summarization with Text Classification via Topic Consistency. ECML/PKDD (3) 2021: 661-676 - [c118]Jingzhou Liu, Dominic J. D. Hughes, Yiming Yang:
Unsupervised Extractive Text Summarization with Distance-Augmented Sentence Graphs. SIGIR 2021: 2313-2317 - [c117]Donghan Yu, Yiming Yang, Ruohong Zhang, Yuexin Wu:
Knowledge Embedding Based Graph Convolutional Network. WWW 2021: 1619-1628 - [i58]Hieu Pham, Xinyi Wang, Yiming Yang, Graham Neubig:
Meta Back-translation. CoRR abs/2102.07847 (2021) - [i57]Dheeraj Rajagopal, Aman Madaan, Niket Tandon, Yiming Yang, Shrimai Prabhumoye, Abhilasha Ravichander, Peter Clark, Eduard H. Hovy:
CURIE: An Iterative Querying Approach for Reasoning About Situations. CoRR abs/2104.00814 (2021) - [i56]Donghan Yu, Yiming Yang:
Improving Hyper-Relational Knowledge Graph Completion. CoRR abs/2104.08167 (2021) - [i55]Aman Madaan, Niket Tandon, Dheeraj Rajagopal, Yiming Yang, Peter Clark, Keisuke Sakaguchi, Eduard H. Hovy:
Improving Neural Model Performance through Natural Language Feedback on Their Explanations. CoRR abs/2104.08765 (2021) - [i54]Aman Madaan, Dheeraj Rajagopal, Niket Tandon, Yiming Yang, Eduard H. Hovy:
Could you give me a hint? Generating inference graphs for defeasible reasoning. CoRR abs/2105.05418 (2021) - [i53]Donghan Yu, Chenguang Zhu, Yuwei Fang, Wenhao Yu, Shuohang Wang, Yichong Xu, Xiang Ren, Yiming Yang, Michael Zeng:
KG-FiD: Infusing Knowledge Graph in Fusion-in-Decoder for Open-Domain Question Answering. CoRR abs/2110.04330 (2021) - [i52]Aman Madaan, Niket Tandon, Dheeraj Rajagopal, Peter Clark, Yiming Yang, Eduard H. Hovy:
Think about it! Improving defeasible reasoning by first modeling the question scenario. CoRR abs/2110.12349 (2021) - [i51]Niket Tandon, Aman Madaan, Peter Clark, Keisuke Sakaguchi, Yiming Yang:
Interscript: A dataset for interactive learning of scripts through error feedback. CoRR abs/2112.07867 (2021) - [i50]Niket Tandon, Aman Madaan, Peter Clark, Yiming Yang:
Improving scripts with a memory of natural feedback. CoRR abs/2112.09737 (2021) - 2020
- [c116]Aman Madaan, Amrith Setlur, Tanmay Parekh, Barnabás Póczos, Graham Neubig, Yiming Yang, Ruslan Salakhutdinov, Alan W. Black, Shrimai Prabhumoye:
Politeness Transfer: A Tag and Generate Approach. ACL 2020: 1869-1881 - [c115]Zhiqing Sun, Hongkun Yu, Xiaodan Song, Renjie Liu, Yiming Yang, Denny Zhou:
MobileBERT: a Compact Task-Agnostic BERT for Resource-Limited Devices. ACL 2020: 2158-2170 - [c114]Zhiqing Sun, Shikhar Vashishth, Soumya Sanyal, Partha P. Talukdar, Yiming Yang:
A Re-evaluation of Knowledge Graph Completion Methods. ACL 2020: 5516-5522 - [c113]Mengzhou Xia, Antonios Anastasopoulos, Ruochen Xu, Yiming Yang, Graham Neubig:
Predicting Performance for Natural Language Processing Tasks. ACL 2020: 8625-8646 - [c112]Zhengbao Jiang, Jun Araki, Donghan Yu, Ruohong Zhang, Wei Xu, Yiming Yang, Graham Neubig:
Learning Relation Entailment with Structured and Textual Information. AKBC 2020 - [c111]Jingzhou Liu, Wenhu Chen, Yu Cheng, Zhe Gan, Licheng Yu, Yiming Yang, Jingjing Liu:
Violin: A Large-Scale Dataset for Video-and-Language Inference. CVPR 2020: 10897-10907 - [c110]Bohan Li, Hao Zhou, Junxian He, Mingxuan Wang, Yiming Yang, Lei Li:
On the Sentence Embeddings from Pre-trained Language Models. EMNLP (1) 2020: 9119-9130 - [c109]Wei-Cheng Chang, Felix X. Yu, Yin-Wen Chang, Yiming Yang, Sanjiv Kumar:
Pre-training Tasks for Embedding-based Large-scale Retrieval. ICLR 2020 - [c108]Zirui Wang, Jiateng Xie, Ruochen Xu, Yiming Yang, Graham Neubig, Jaime G. Carbonell:
Cross-lingual Alignment vs Joint Training: A Comparative Study and A Simple Unified Framework. ICLR 2020 - [c107]Zhiqing Sun, Yiming Yang:
An EM Approach to Non-autoregressive Conditional Sequence Generation. ICML 2020: 9249-9258 - [c106]Ruohong Zhang, Yu Hao, Donghan Yu, Wei-Cheng Chang, Guokun Lai, Yiming Yang:
Correlation-Aware Change-Point Detection via Graph Neural Networks. ICONIP (3) 2020: 555-567 - [c105]Wei-Cheng Chang, Hsiang-Fu Yu, Kai Zhong, Yiming Yang, Inderjit S. Dhillon:
Taming Pretrained Transformers for Extreme Multi-label Text Classification. KDD 2020: 3163-3171 - [c104]Zihang Dai, Guokun Lai, Yiming Yang, Quoc Le:
Funnel-Transformer: Filtering out Sequential Redundancy for Efficient Language Processing. NeurIPS 2020 - [c103]Donghan Yu, Ruohong Zhang, Zhengbao Jiang, Yuexin Wu, Yiming Yang:
Graph-Revised Convolutional Network. ECML/PKDD (3) 2020: 378-393 - [i49]Wei-Cheng Chang, Felix X. Yu, Yin-Wen Chang, Yiming Yang, Sanjiv Kumar:
Pre-training Tasks for Embedding-based Large-scale Retrieval. CoRR abs/2002.03932 (2020) - [i48]Jingzhou Liu, Wenhu Chen, Yu Cheng, Zhe Gan, Licheng Yu, Yiming Yang, Jingjing Liu:
VIOLIN: A Large-Scale Dataset for Video-and-Language Inference. CoRR abs/2003.11618 (2020) - [i47]Zhiqing Sun, Hongkun Yu, Xiaodan Song, Renjie Liu, Yiming Yang, Denny Zhou:
MobileBERT: a Compact Task-Agnostic BERT for Resource-Limited Devices. CoRR abs/2004.02984 (2020) - [i46]Ruohong Zhang, Yu Hao, Donghan Yu, Wei-Cheng Chang, Guokun Lai, Yiming Yang:
Explainable Unsupervised Change-point Detection via Graph Neural Networks. CoRR abs/2004.11934 (2020) - [i45]Aman Madaan, Shruti Rijhwani, Antonios Anastasopoulos, Yiming Yang, Graham Neubig:
Practical Comparable Data Collection for Low-Resource Languages via Images. CoRR abs/2004.11954 (2020) - [i44]Aman Madaan, Amrith Setlur, Tanmay Parekh, Barnabás Póczos, Graham Neubig, Yiming Yang, Ruslan Salakhutdinov, Alan W. Black, Shrimai Prabhumoye:
Politeness Transfer: A Tag and Generate Approach. CoRR abs/2004.14257 (2020) - [i43]Mengzhou Xia, Antonios Anastasopoulos, Ruochen Xu, Yiming Yang, Graham Neubig:
Predicting Performance for Natural Language Processing Tasks. CoRR abs/2005.00870 (2020) - [i42]Zihang Dai, Guokun Lai, Yiming Yang, Quoc V. Le:
Funnel-Transformer: Filtering out Sequential Redundancy for Efficient Language Processing. CoRR abs/2006.03236 (2020) - [i41]Donghan Yu, Yiming Yang, Ruohong Zhang, Yuexin Wu:
Generalized Multi-Relational Graph Convolution Network. CoRR abs/2006.07331 (2020) - [i40]Zhiqing Sun, Yiming Yang:
An EM Approach to Non-autoregressive Conditional Sequence Generation. CoRR abs/2006.16378 (2020) - [i39]Wei-Cheng Chang, Chun-Liang Li, Youssef Mroueh, Yiming Yang:
Kernel Stein Generative Modeling. CoRR abs/2007.03074 (2020) - [i38]Guokun Lai, Zihang Dai, Yiming Yang:
Unsupervised Parallel Corpus Mining on Web Data. CoRR abs/2009.08595 (2020) - [i37]Donghan Yu, Chenguang Zhu, Yiming Yang, Michael Zeng:
JAKET: Joint Pre-training of Knowledge Graph and Language Understanding. CoRR abs/2010.00796 (2020) - [i36]Aman Madaan, Yiming Yang:
Neural Language Modeling for Contextualized Temporal Graph Generation. CoRR abs/2010.10077 (2020) - [i35]Aman Madaan, Dheeraj Rajagopal, Yiming Yang, Abhilasha Ravichander, Eduard H. Hovy, Shrimai Prabhumoye:
EIGEN: Event Influence GENeration using Pre-trained Language Models. CoRR abs/2010.11764 (2020) - [i34]Bohan Li, Hao Zhou, Junxian He, Mingxuan Wang, Yiming Yang, Lei Li:
On the Sentence Embeddings from Pre-trained Language Models. CoRR abs/2011.05864 (2020) - [i33]Zhiqing Sun, Shengcao Cao, Yiming Yang, Kris Kitani:
Rethinking Transformer-based Set Prediction for Object Detection. CoRR abs/2011.10881 (2020)
2010 – 2019
- 2019
- [c102]Yuexin Wu, Xiujun Li, Jingjing Liu, Jianfeng Gao, Yiming Yang:
Switch-Based Active Deep Dyna-Q: Efficient Adaptive Planning for Task-Completion Dialogue Policy Learning. AAAI 2019: 7289-7296 - [c101]Zihang Dai, Zhilin Yang, Yiming Yang, Jaime G. Carbonell, Quoc Viet Le, Ruslan Salakhutdinov:
Transformer-XL: Attentive Language Models beyond a Fixed-Length Context. ACL (1) 2019: 2978-2988 - [c100]Chun-Liang Li, Wei-Cheng Chang, Youssef Mroueh, Yiming Yang, Barnabás Póczos:
Implicit Kernel Learning. AISTATS 2019: 2007-2016 - [c99]Bohan Li, Junxian He, Graham Neubig, Taylor Berg-Kirkpatrick, Yiming Yang:
A Surprisingly Effective Fix for Deep Latent Variable Modeling of Text. EMNLP/IJCNLP (1) 2019: 3601-3612 - [c98]Wei-Cheng Chang, Chun-Liang Li, Yiming Yang, Barnabás Póczos:
Kernel Change-point Detection with Auxiliary Deep Generative Models. ICLR (Poster) 2019 - [c97]Hanxiao Liu, Karen Simonyan, Yiming Yang:
DARTS: Differentiable Architecture Search. ICLR (Poster) 2019 - [c96]Zhilin Yang, Zihang Dai, Yiming Yang, Jaime G. Carbonell, Ruslan Salakhutdinov, Quoc V. Le:
XLNet: Generalized Autoregressive Pretraining for Language Understanding. NeurIPS 2019: 5754-5764 - [c95]Guokun Lai, Zihang Dai, Yiming Yang, Shinjae Yoo:
Re-examination of the Role of Latent Variables in Sequence Modeling. NeurIPS 2019: 7812-7822 - [i32]Zihang Dai, Zhilin Yang, Yiming Yang, Jaime G. Carbonell, Quoc V. Le, Ruslan Salakhutdinov:
Transformer-XL: Attentive Language Models Beyond a Fixed-Length Context. CoRR abs/1901.02860 (2019) - [i31]Wei-Cheng Chang, Chun-Liang Li, Yiming Yang, Barnabás Póczos:
Kernel Change-point Detection with Auxiliary Deep Generative Models. CoRR abs/1901.06077 (2019) - [i30]Xiang Kong, Bohan Li, Graham Neubig, Eduard H. Hovy, Yiming Yang:
An Adversarial Approach to High-Quality, Sentiment-Controlled Neural Dialogue Generation. CoRR abs/1901.07129 (2019) - [i29]Zihang Dai, Guokun Lai, Yiming Yang, Shinjae Yoo:
Re-examination of the Role of Latent Variables in Sequence Modeling. CoRR abs/1902.01388 (2019) - [i28]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:
The ARIEL-CMU Systems for LoReHLT18. CoRR abs/1902.08899 (2019) - [i27]Chun-Liang Li, Wei-Cheng Chang, Youssef Mroueh, Yiming Yang, Barnabás Póczos:
Implicit Kernel Learning. CoRR abs/1902.10214 (2019) - [i26]Wei-Cheng Chang, Hsiang-Fu Yu, Kai Zhong, Yiming Yang, Inderjit S. Dhillon:
A Modular Deep Learning Approach for Extreme Multi-label Text Classification. CoRR abs/1905.02331 (2019) - [i25]Zhilin Yang, Zihang Dai, Yiming Yang, Jaime G. Carbonell, Ruslan Salakhutdinov, Quoc V. Le:
XLNet: Generalized Autoregressive Pretraining for Language Understanding. CoRR abs/1906.08237 (2019) - [i24]Bohan Li, Junxian He, Graham Neubig, Taylor Berg-Kirkpatrick, Yiming Yang:
A Surprisingly Effective Fix for Deep Latent Variable Modeling of Text. CoRR abs/1909.00868 (2019) - [i23]Guokun Lai, Barlas Oguz, Yiming Yang, Veselin Stoyanov:
Bridging the domain gap in cross-lingual document classification. CoRR abs/1909.07009 (2019) - [i22]Zirui Wang, Jiateng Xie, Ruochen Xu, Yiming Yang, Graham Neubig, Jaime G. Carbonell:
Cross-lingual Alignment vs Joint Training: A Comparative Study and A Simple Unified Framework. CoRR abs/1910.04708 (2019) - [i21]Yuexin Wu, Yichong Xu, Aarti Singh, Yiming Yang, Artur Dubrawski:
Active Learning for Graph Neural Networks via Node Feature Propagation. CoRR abs/1910.07567 (2019) - [i20]Yong-Siang Shih, Wei-Cheng Chang, Yiming Yang:
XL-Editor: Post-editing Sentences with XLNet. CoRR abs/1910.10479 (2019) - [i19]Zhiqing Sun, Shikhar Vashishth, Soumya Sanyal, Partha P. Talukdar, Yiming Yang:
A Re-evaluation of Knowledge Graph Completion Methods. CoRR abs/1911.03903 (2019) - [i18]Donghan Yu, Ruohong Zhang, Zhengbao Jiang, Yuexin Wu, Yiming Yang:
Graph-Revised Convolutional Network. CoRR abs/1911.07123 (2019) - 2018
- [j21]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:
The ARIEL-CMU situation frame detection pipeline for LoReHLT16: a model translation approach. Mach. Transl. 32(1-2): 105-126 (2018) - [c94]Aldrian Obaja Muis, Naoki Otani, Nidhi Vyas, Ruochen Xu, Yiming Yang, Teruko Mitamura, Eduard H. Hovy:
Low-resource Cross-lingual Event Type Detection via Distant Supervision with Minimal Effort. COLING 2018: 70-82 - [c93]Ruochen Xu, Yiming Yang, Naoki Otani, Yuexin Wu:
Unsupervised Cross-lingual Transfer of Word Embedding Spaces. EMNLP 2018: 2465-2474 - [c92]Yuexin Wu, Hanxiao Liu, Yiming Yang:
Graph Convolutional Matrix Completion for Bipartite Edge Prediction. KDIR 2018: 49-58 - [c91]Yiming Yang:
Large-scale Machine Learning over Graphs. ICTIR 2018: 9 - [c90]Guokun Lai, Wei-Cheng Chang, Yiming Yang, Hanxiao Liu:
Modeling Long- and Short-Term Temporal Patterns with Deep Neural Networks. SIGIR 2018: 95-104 - [c89]Yuexin Wu, Yiming Yang, Hiroshi Nishiura, Masaya Saitoh:
Deep Learning for Epidemiological Predictions. SIGIR 2018: 1085-1088 - [i17]Guokun Lai, Bohan Li, Guoqing Zheng, Yiming Yang:
Stochastic WaveNet: A Generative Latent Variable Model for Sequential Data. CoRR abs/1806.06116 (2018) - [i16]Hanxiao Liu, Karen Simonyan, Yiming Yang:
DARTS: Differentiable Architecture Search. CoRR abs/1806.09055 (2018) - [i15]Ruochen Xu, Yiming Yang, Naoki Otani, Yuexin Wu:
Unsupervised Cross-lingual Transfer of Word Embedding Spaces. CoRR abs/1809.03633 (2018) - [i14]Yuexin Wu, Xiujun Li, Jingjing Liu, Jianfeng Gao, Yiming Yang:
Switch-based Active Deep Dyna-Q: Efficient Adaptive Planning for Task-Completion Dialogue Policy Learning. CoRR abs/1811.07550 (2018) - 2017
- [c88]Wei-Cheng Chang, Yuexin Wu, Hanxiao Liu, Yiming Yang:
Cross-Domain Kernel Induction for Transfer Learning. AAAI 2017: 1763-1769 - [c87]Ruochen Xu, Yiming Yang:
Cross-lingual Distillation for Text Classification. ACL (1) 2017: 1415-1425 - [c86]Guokun Lai, Qizhe Xie, Hanxiao Liu, Yiming Yang, Eduard H. Hovy:
RACE: Large-scale ReAding Comprehension Dataset From Examinations. EMNLP 2017: 785-794 - [c85]Hanxiao Liu, Yuexin Wu, Yiming Yang:
Analogical Inference for Multi-relational Embeddings. ICML 2017: 2168-2178 - [c84]Ian Gorton, Ruochen Xu, Yiming Yang, Hanxiao Liu, Guoqing Zheng:
Experiments in Curation: Towards Machine-Assisted Construction of Software Architecture Knowledge Bases. ICSA 2017: 79-88 - [c83]Wei-Cheng Chang, Chun-Liang Li, Yiming Yang, Barnabás Póczos:
Data-driven Random Fourier Features using Stein Effect. IJCAI 2017: 1497-1503 - [c82]Chun-Liang Li, Wei-Cheng Chang, Yu Cheng, Yiming Yang, Barnabás Póczos:
MMD GAN: Towards Deeper Understanding of Moment Matching Network. NIPS 2017: 2203-2213 - [c81]Jingzhou Liu, Wei-Cheng Chang, Yuexin Wu, Yiming Yang:
Deep Learning for Extreme Multi-label Text Classification. SIGIR 2017: 115-124 - [i13]Andrew Hsi, Jaime G. Carbonell, Yiming Yang:
CMU CS Event TAC-KBP2017 Event Argument Extraction System. TAC 2017 - [i12]Keerthiram Murugesan, Jaime G. Carbonell, Yiming Yang:
Co-Clustering for Multitask Learning. CoRR abs/1703.00994 (2017) - [i11]Guokun Lai, Wei-Cheng Chang, Yiming Yang, Hanxiao Liu:
Modeling Long- and Short-Term Temporal Patterns with Deep Neural Networks. CoRR abs/1703.07015 (2017) - [i10]Guokun Lai, Qizhe Xie, Hanxiao Liu, Yiming Yang, Eduard H. Hovy:
RACE: Large-scale ReAding Comprehension Dataset From Examinations. CoRR abs/1704.04683 (2017) - [i9]Hanxiao Liu, Yuexin Wu, Yiming Yang:
Analogical Inference for Multi-Relational Embeddings. CoRR abs/1705.02426 (2017) - [i8]Wei-Cheng Chang, Chun-Liang Li, Yiming Yang, Barnabás Póczos:
Data-driven Random Fourier Features using Stein Effect. CoRR abs/1705.08525 (2017) - [i7]Chun-Liang Li, Wei-Cheng Chang, Yu Cheng, Yiming Yang, Barnabás Póczos:
MMD GAN: Towards Deeper Understanding of Moment Matching Network. CoRR abs/1705.08584 (2017) - [i6]Guokun Lai, Hanxiao Liu, Yiming Yang:
Learning Graph Convolution Filters from Data Manifold. CoRR abs/1710.11577 (2017) - [i5]Guoqing Zheng, Yiming Yang, Jaime G. Carbonell:
Convolutional Normalizing Flows. CoRR abs/1711.02255 (2017) - [i4]Guoqing Zheng, Yiming Yang, Jaime G. Carbonell:
Likelihood Almost Free Inference Networks. CoRR abs/1711.08352 (2017) - 2016
- [j20]Hanxiao Liu, Wanli Ma, Yiming Yang, Jaime G. Carbonell:
Learning Concept Graphs from Online Educational Data. J. Artif. Intell. Res. 55: 1059-1090 (2016) - [c80]Hanxiao Liu, Yiming Yang:
Semi-Supervised Learning with Adaptive Spectral Transform. AISTATS 2016: 902-910 - [c79]Ruochen Xu, Yiming Yang, Hanxiao Liu, Andrew Hsi:
Cross-lingual Text Classification via Model Translation with Limited Dictionaries. CIKM 2016: 95-104 - [c78]Andrew Hsi, Yiming Yang, Jaime G. Carbonell, Ruochen Xu:
Leveraging Multilingual Training for Limited Resource Event Extraction. COLING 2016: 1201-1210 - [c77]