Zhiqing Sun

According to our database, Zhiqing Sun authored at least 48 papers between 2017 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2024

Micro-grid source-load storage energy minimization method based on improved competitive depth Q - network algorithm and digital twinning.

Yibo Lai, Weiyan Zheng, Zhiqing Sun, Yan Zhou, Yuling Chen

Energy Inform., December, 2024

Design of data center system for immersed liquid-cooled computer room with improved deep learning algorithm.

Yibo Lai, Libo Fan, Zhiqing Sun, Xiang Fang, Bin Shen, Yongwei Tu

J. Intell. Fuzzy Syst., January, 2024

Improve Vision Language Model Chain-of-thought Reasoning.

Ruohong Zhang, Bowen Zhang, Yanghao Li, Haotian Zhang, Zhiqing Sun, Zhe Gan, Yinfei Yang, Ruoming Pang, Yiming Yang

CoRR, 2024

An Empirical Analysis of Compute-Optimal Inference for Problem-Solving with Language Models.

Yangzhen Wu, Zhiqing Sun, Shanda Li, Sean Welleck, Yiming Yang

CoRR, 2024

Lean-STaR: Learning to Interleave Thinking and Proving.

Haohan Lin, Zhiqing Sun, Yiming Yang, Sean Welleck

CoRR, 2024

Dr-LLaVA: Visual Instruction Tuning with Symbolic Clinical Grounding.

Shenghuan Sun, Gregory M. Goldgof, Alexander Schubert, Zhiqing Sun, Thomas Hartvigsen, Atul J. Butte, Ahmed M. Alaa

CoRR, 2024

Self-Play Preference Optimization for Language Model Alignment.

Yue Wu, Zhiqing Sun, Huizhuo Yuan, Kaixuan Ji, Yiming Yang, Quanquan Gu

CoRR, 2024

Direct Preference Optimization of Video Large Multimodal Models from Language Model Reward.

Ruohong Zhang, Liangke Gui, Zhiqing Sun, Yihao Feng, Keyang Xu, Yuanhan Zhang, Di Fu, Chunyuan Li, Alexander Hauptmann, Yonatan Bisk, Yiming Yang

CoRR, 2024

Easy-to-Hard Generalization: Scalable Alignment Beyond Human Supervision.

Zhiqing Sun, Longhui Yu, Yikang Shen, Weiyang Liu, Yiming Yang, Sean Welleck, Chuang Gan

CoRR, 2024

HaluEval-Wild: Evaluating Hallucinations of Language Models in the Wild.

Zhiying Zhu, Zhiqing Sun, Yiming Yang

CoRR, 2024

Improving Reinforcement Learning from Human Feedback with Efficient Reward Model Ensemble.

Shun Zhang, Zhenfang Chen, Sunli Chen, Yikang Shen, Zhiqing Sun, Chuang Gan

CoRR, 2024

LLM and Simulation as Bilevel Optimizers: A New Paradigm to Advance Physical Scientific Discovery.

Pingchuan Ma, Tsun-Hsuan Wang, Minghao Guo, Zhiqing Sun, Joshua B. Tenenbaum, Daniela Rus, Chuang Gan, Wojciech Matusik

Proceedings of the Forty-first International Conference on Machine Learning, 2024

SALMON: Self-Alignment with Instructable Reward Models.

Zhiqing Sun, Yikang Shen, Hongxin Zhang, Qinhong Zhou, Zhenfang Chen, David Daniel Cox, Yiming Yang, Chuang Gan

Proceedings of the Twelfth International Conference on Learning Representations, 2024

Aligning Large Multimodal Models with Factually Augmented RLHF.

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

Proceedings of the Findings of the Association for Computational Linguistics, 2024

Instruction-tuned Language Models are Better Knowledge Learners.

Zhengbao Jiang, Zhiqing Sun, Weijia Shi, Pedro Rodríguez, Chunting Zhou, Graham Neubig, Xi Victoria Lin, Wen-tau Yih, Srini Iyer

Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2024

Visual Chain-of-Thought Prompting for Knowledge-Based Visual Reasoning.

Zhenfang Chen, Qinhong Zhou, Yikang Shen, Yining Hong, Zhiqing Sun, Dan Gutfreund, Chuang Gan

Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023

Power grid user asset value evaluation method and application under the background of artificial intelligence and smart grid.

Xiang Fang, Yibo Lai, Libo Fan, Zhiqing Sun, Yi Wang, Yi Xuan

J. Comput. Methods Sci. Eng., 2023

SALMON: Self-Alignment with Principle-Following Reward Models.

Zhiqing Sun, Yikang Shen, Hongxin Zhang, Qinhong Zhou, Zhenfang Chen, David D. Cox, Yiming Yang, Chuang Gan

CoRR, 2023

Accelerating Diffusion-based Combinatorial Optimization Solvers by Progressive Distillation.

Junwei Huang, Zhiqing Sun, Yiming Yang

CoRR, 2023

Distributed Optimal Scheduling of Integrated Energy Systems Based on Federated Reinforcement Learning.

Zhiqing Sun, Yifang Chen, Yi Xuan, Yuanzhong Chen, Yinan Lou

Proceedings of the 5th International Conference on Robotics, 2023

A Lightweight-Model Based Federated Learning Approach for Fault Diagnosis in Intelligent Power Distribution Systems.

Zhiqing Sun, Yifang Chen, Yi Xuan, Yuanzhong Chen, Yinan Lou

Proceedings of the 5th International Conference on Robotics, 2023

DIFUSCO: Graph-based Diffusion Solvers for Combinatorial Optimization.

Zhiqing Sun, Yiming Yang

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Principle-Driven Self-Alignment of Language Models from Scratch with Minimal Human Supervision.

Zhiqing Sun, Yikang Shen, Qinhong Zhou, Hongxin Zhang, Zhenfang Chen, David D. Cox, Yiming Yang, Chuang Gan

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

A Neural PDE Solver with Temporal Stencil Modeling.

Zhiqing Sun, Yiming Yang, Shinjae Yoo

Proceedings of the International Conference on Machine Learning, 2023

Recitation-Augmented Language Models.

Zhiqing Sun, Xuezhi Wang, Yi Tay, Yiming Yang, Denny Zhou

Proceedings of the Eleventh International Conference on Learning Representations, 2023

Demand-side data augmentation method based on generative adversarial networks.

Xiuyi Shang, Shuya Lei, Wensi Zhang, Zhiqing Sun

Proceedings of the 6th IEEE International Conference on Information Systems and Computer Aided Educatio, 2023

Active Retrieval Augmented Generation.

Zhengbao Jiang, Frank F. Xu, Luyu Gao, Zhiqing Sun, Qian Liu, Jane Dwivedi-Yu, Yiming Yang, Jamie Callan, Graham Neubig

Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, 2023

2022

PromptSource: An Integrated Development Environment and Repository for Natural Language Prompts.

Stephen H. Bach, Victor Sanh, Zheng Xin Yong, Albert Webson, Colin Raffel, Nihal V. Nayak, Abheesht Sharma, Taewoon Kim, M. Saiful Bari, Thibault Févry, Zaid Alyafeai, Manan Dey, Andrea Santilli, Zhiqing Sun, Srulik Ben-David, Canwen Xu, Gunjan Chhablani, Han Wang, Jason Alan Fries, Maged Saeed AlShaibani, Shanya Sharma, Urmish Thakker, Khalid Almubarak, Xiangru Tang, Mike Tian-Jian Jiang, Alexander M. Rush

CoRR, 2022

DIMES: A Differentiable Meta Solver for Combinatorial Optimization Problems.

Ruizhong Qiu, Zhiqing Sun, Yiming Yang

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Sparse Attention with Learning to Hash.

Zhiqing Sun, Yiming Yang, Shinjae Yoo

Proceedings of the Tenth International Conference on Learning Representations, 2022

PromptSource: An Integrated Development Environment and Repository for Natural Language Prompts.

Stephen H. Bach, Victor Sanh, Zheng Xin Yong, Albert Webson, Colin Raffel, Nihal V. Nayak, Abheesht Sharma, Taewoon Kim, M. Saiful Bari, Thibault Févry, Zaid Alyafeai, Manan Dey, Andrea Santilli, Zhiqing Sun, Srulik Ben-David, Canwen Xu, Gunjan Chhablani, Han Wang, Jason Alan Fries, Maged Saeed AlShaibani, Shanya Sharma, Urmish Thakker, Khalid Almubarak, Xiangru Tang, Dragomir R. Radev, Mike Tian-Jian Jiang, Alexander M. Rush

Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics, 2022

2021

Multi-Model Fusion Short-Term Load Forecasting Based on Random Forest Feature Selection and Hybrid Neural Network.

Yi Xuan, Weiguo Si, Jiong Zhu, Zhiqing Sun, Jian Zhao, Mingjie Xu, Shouliang Xu

IEEE Access, 2021

Real-Time Demand Response Strategy of Temperature-Controlled Load for High Elastic Distribution Network.

Zhiqing Sun, Weiguo Si, Yi Xuan, Shaojie Luo, Jian Zhao, Zhen Liu

IEEE Access, 2021

Multi-Objective Optimal Configuration of Multiple Switchgear Considering Distribution Network Fault Reconfiguration.

Libo Fan, Weiguo Si, Yi Xuan, Zhiqing Sun, Jian Zhao, Bin Xu, Qiuhan Gu

IEEE Access, 2021

Hierarchical Probabilistic Ultrasound Image Inpainting via Variational Inference.

Alex Ling Yu Hung, Zhiqing Sun, Wanwen Chen, John M. Galeotti

Proceedings of the Deep Generative Models, and Data Augmentation, Labelling, and Imperfections, 2021

Rethinking Transformer-based Set Prediction for Object Detection.

Zhiqing Sun, Shengcao Cao, Yiming Yang, Kris Kitani

Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021

2020

An EM Approach to Non-autoregressive Conditional Sequence Generation.

Zhiqing Sun, Yiming Yang

Proceedings of the 37th International Conference on Machine Learning, 2020

Dynamically Pruned Message Passing Networks for Large-scale Knowledge Graph Reasoning.

Xiaoran Xu, Wei Feng, Yunsheng Jiang, Xiaohui Xie, Zhiqing Sun, Zhi-Hong Deng

Proceedings of the 8th International Conference on Learning Representations, 2020

MobileBERT: a Compact Task-Agnostic BERT for Resource-Limited Devices.

Zhiqing Sun, Hongkun Yu, Xiaodan Song, Renjie Liu, Yiming Yang, Denny Zhou

Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics, 2020

A Re-evaluation of Knowledge Graph Completion Methods.

Zhiqing Sun, Shikhar Vashishth, Soumya Sanyal, Partha P. Talukdar, Yiming Yang

Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics, 2020

2019

Understanding and Improving Transformer From a Multi-Particle Dynamic System Point of View.

Yiping Lu, Zhuohan Li, Di He, Zhiqing Sun, Bin Dong, Tao Qin, Liwei Wang, Tie-Yan Liu

CoRR, 2019

Neural Consciousness Flow.

Xiaoran Xu, Wei Feng, Zhiqing Sun, Zhi-Hong Deng

CoRR, 2019

DivGraphPointer: A Graph Pointer Network for Extracting Diverse Keyphrases.

Zhiqing Sun, Jian Tang, Pan Du, Zhi-Hong Deng, Jian-Yun Nie

Proceedings of the 42nd International ACM SIGIR Conference on Research and Development in Information Retrieval, 2019

Fast Structured Decoding for Sequence Models.

Zhiqing Sun, Zhuohan Li, Haoqing Wang, Di He, Zi Lin, Zhi-Hong Deng

Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019

RotatE: Knowledge Graph Embedding by Relational Rotation in Complex Space.

Zhiqing Sun, Zhi-Hong Deng, Jian-Yun Nie, Jian Tang

Proceedings of the 7th International Conference on Learning Representations, 2019

Research on the Development Trend and Auditing Mode of High Security Enterprise Intranet Security Audit.

Zhiqing Sun, Yan Li, Weiyan Zhang

Proceedings of the 11th IEEE International Conference on Advanced Infocomm Technology, 2019

2018

Unsupervised Neural Word Segmentation for Chinese via Segmental Language Modeling.

Zhiqing Sun, Zhi-Hong Deng

Proceedings of the 2018 Conference on Empirical Methods in Natural Language Processing, Brussels, Belgium, October 31, 2018

2017

A Gap-Based Framework for Chinese Word Segmentation via Very Deep Convolutional Networks.

Zhiqing Sun, Gehui Shen, Zhi-Hong Deng

CoRR, 2017