A Gap-Based Framework for Chinese Word Segmentation via Very Deep Convolutional Networks. - Zhiqing Sun; Gehui Shen; Zhi-Hong Deng 001 (CoRR, 2017)

Unsupervised Neural Word Segmentation for Chinese via Segmental Language Modeling. - Zhiqing Sun; Zhi-Hong Deng 001 (EMNLP, 2018)

Research on the Development Trend and Auditing Mode of High Security Enterprise Intranet Security Audit. - Zhiqing Sun; Yan Li; Weiyan Zhang (ICAIT, 2019)

RotatE: Knowledge Graph Embedding by Relational Rotation in Complex Space. - Zhiqing Sun; Zhi-Hong Deng 001; Jian-Yun Nie; Jian Tang 005 (ICLR (Poster), 2019)

Fast Structured Decoding for Sequence Models. - Zhiqing Sun; Zhuohan Li 001; Haoqing Wang; Di He 001; Zi Lin; Zhi-Hong Deng 001 (NeurIPS, 2019)

DivGraphPointer: A Graph Pointer Network for Extracting Diverse Keyphrases. - Zhiqing Sun; Jian Tang 005; Pan Du 001; Zhi-Hong Deng 001; Jian-Yun Nie (SIGIR, 2019)

Neural Consciousness Flow. - Xiaoran Xu; Wei Feng; Zhiqing Sun; Zhi-Hong Deng 001 (CoRR, 2019)

Understanding and Improving Transformer From a Multi-Particle Dynamic System Point of View. - Yiping Lu 001; Zhuohan Li 001; Di He 001; Zhiqing Sun; Bin Dong 001; Tao Qin 001; Liwei Wang 001; Tie-Yan Liu (CoRR, 2019)

A Re-evaluation of Knowledge Graph Completion Methods. - Zhiqing Sun; Shikhar Vashishth; Soumya Sanyal 001; Partha P. Talukdar; Yiming Yang (ACL, 2020)

MobileBERT: a Compact Task-Agnostic BERT for Resource-Limited Devices. - Zhiqing Sun; Hongkun Yu 001; Xiaodan Song; Renjie Liu; Yiming Yang; Denny Zhou (ACL, 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 001 (ICLR, 2020)

An EM Approach to Non-autoregressive Conditional Sequence Generation. - Zhiqing Sun; Yiming Yang (ICML, 2020)

Rethinking Transformer-based Set Prediction for Object Detection. - Zhiqing Sun; Shengcao Cao; Yiming Yang; Kris Kitani (ICCV, 2021)

Hierarchical Probabilistic Ultrasound Image Inpainting via Variational Inference. - Alex Ling Yu Hung; Zhiqing Sun; Wanwen Chen; John M. Galeotti (DGM4MICCAI/DALI@MICCAI, 2021)

Multi-Objective Optimal Configuration of Multiple Switchgear Considering Distribution Network Fault Reconfiguration. - Libo Fan; Weiguo Si; Yi Xuan; Zhiqing Sun; Jian Zhao 023; Bin Xu; Qiuhan Gu (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 023; Zhen Liu (IEEE Access, 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 023; Mingjie Xu; Shouliang Xu (IEEE Access, 2021)

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 002; M. Saiful Bari; Thibault Févry; Zaid Alyafeai; Manan Dey; et al. (ACL (demo), 2022)

Sparse Attention with Learning to Hash. - Zhiqing Sun; Yiming Yang; Shinjae Yoo (ICLR, 2022)

DIMES: A Differentiable Meta Solver for Combinatorial Optimization Problems. - Ruizhong Qiu; Zhiqing Sun; Yiming Yang (NeurIPS, 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 002; M. Saiful Bari; Thibault Févry; Zaid Alyafeai; Manan Dey; et al. (CoRR, 2022)

Active Retrieval Augmented Generation. - Zhengbao Jiang; Frank F. Xu; Luyu Gao; Zhiqing Sun; Qian Liu; Jane Dwivedi-Yu; Yiming Yang; Jamie Callan; Graham Neubig (EMNLP, 2023)

Demand-side data augmentation method based on generative adversarial networks. - Xiuyi Shang; Shuya Lei; Wensi Zhang; Zhiqing Sun (ICISCAE, 2023)

Recitation-Augmented Language Models. - Zhiqing Sun; Xuezhi Wang 002; Yi Tay; Yiming Yang; Denny Zhou (ICLR, 2023)

A Neural PDE Solver with Temporal Stencil Modeling. - Zhiqing Sun; Yiming Yang; Shinjae Yoo (ICML, 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 001 (NeurIPS, 2023)

DIFUSCO: Graph-based Diffusion Solvers for Combinatorial Optimization. - Zhiqing Sun; Yiming Yang (NeurIPS, 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 (RICAI, 2023)

Distributed Optimal Scheduling of Integrated Energy Systems Based on Federated Reinforcement Learning. - Zhiqing Sun; Yifang Chen; Yi Xuan; Yuanzhong Chen; Yinan Lou (RICAI, 2023)

Accelerating Diffusion-based Combinatorial Optimization Solvers by Progressive Distillation. - Junwei Huang; Zhiqing Sun; Yiming Yang (CoRR, 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 001 (CoRR, 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)

Visual Chain-of-Thought Prompting for Knowledge-Based Visual Reasoning. - Zhenfang Chen; Qinhong Zhou; Yikang Shen; Yining Hong; Zhiqing Sun; Dan Gutfreund; Chuang Gan 001 (AAAI, 2024)

Instruction-tuned Language Models are Better Knowledge Learners. - Zhengbao Jiang; Zhiqing Sun; Weijia Shi; Pedro Rodríguez 001; Chunting Zhou; Graham Neubig; Xi Victoria Lin; Wen-tau Yih; Srini Iyer 001 (ACL (1), 2024)

Aligning Large Multimodal Models with Factually Augmented RLHF. - Zhiqing Sun; Sheng Shen 001; Shengcao Cao; Haotian Liu; Chunyuan Li; Yikang Shen; Chuang Gan 001; Liangyan Gui; Yu-Xiong Wang; Yiming Yang; Kurt Keutzer; Trevor Darrell (ACL (Findings), 2024)

Enhancing Load Forecasting with VAE-GAN-Based Data Cleaning for Electric Vehicle Charging Loads. - Wensi Zhang; Shuya Lei; Yuqing Jiang; Tiechui Yao; Yishen Wang; Zhiqing Sun (DASFAA (Workshops), 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 001 (ICLR, 2024)

LLM and Simulation as Bilevel Optimizers: A New Paradigm to Advance Physical Scientific Discovery. - Pingchuan Ma 002; Tsun-Hsuan Wang; Minghao Guo; Zhiqing Sun; Joshua B. Tenenbaum; Daniela Rus; Chuang Gan 001; Wojciech Matusik (ICML, 2024)

Easy-to-Hard Generalization: Scalable Alignment Beyond Human Supervision. - Zhiqing Sun; Longhui Yu; Yikang Shen; Weiyang Liu; Yiming Yang; Sean Welleck; Chuang Gan 001 (NeurIPS, 2024)

Improving Reinforcement Learning from Human Feedback with Efficient Reward Model Ensemble. - Shun Zhang; Zhenfang Chen; Sunli Chen; Yikang Shen; Zhiqing Sun; Chuang Gan 001 (CoRR, 2024)

HaluEval-Wild: Evaluating Hallucinations of Language Models in the Wild. - Zhiying Zhu; Zhiqing Sun; Yiming Yang (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)

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)

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., 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., 2024)

Improve Vision Language Model Chain-of-thought Reasoning. - Ruohong Zhang; Bowen Zhang 002; Yanghao Li; Haotian Zhang 005; Zhiqing Sun; Zhe Gan; Yinfei Yang; Ruoming Pang; Yiming Yang (ACL (1), 2025)

Lean-STaR: Learning to Interleave Thinking and Proving. - Haohan Lin; Zhiqing Sun; Sean Welleck; Yiming Yang (ICLR, 2025)

Inference Scaling Laws: An Empirical Analysis of Compute-Optimal Inference for LLM Problem-Solving. - Yangzhen Wu; Zhiqing Sun; Shanda Li; Sean Welleck; Yiming Yang (ICLR, 2025)

Self-Play Preference Optimization for Language Model Alignment. - Yue Wu; Zhiqing Sun; Huizhuo Yuan; Kaixuan Ji; Yiming Yang; Quanquan Gu (ICLR, 2025)

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 G. Hauptmann; Yonatan Bisk; Yiming Yang (NAACL (Long Papers), 2025)

BrowseComp: A Simple Yet Challenging Benchmark for Browsing Agents. - Jason Wei; Zhiqing Sun; Spencer Papay; Scott McKinney; Jeffrey Han; Isa Fulford; Hyung Won Chung; Alex Tachard Passos; William Fedus; Amelia Glaese (CoRR, 2025)