Sun, Zhiqing

27 publications

ICLRW 2025 HaluEval-Wild: Evaluating Hallucinations of Language Models in the Wild Zhiying Zhu, Yiming Yang, Zhiqing Sun
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 Lean-STaR: Learning to Interleave Thinking and Proving Haohan Lin, Zhiqing Sun, 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
NeurIPS 2024 Easy-to-Hard Generalization: Scalable Alignment Beyond Human Supervision Zhiqing Sun, Longhui Yu, Yikang Shen, Weiyang Liu, Yiming Yang, Sean Welleck, Chuang Gan
NeurIPSW 2024 Inference Scaling Laws: An Empirical Analysis of Compute-Optimal Inference for LLM Problem-Solving Yangzhen Wu, Zhiqing Sun, Shanda Li, Sean Welleck, Yiming Yang
ICML 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
NeurIPSW 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
NeurIPSW 2024 Lean-STaR: Learning to Interleave Thinking and Proving Haohan Lin, Zhiqing Sun, Sean Welleck, Yiming Yang
ICLR 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
ICMLW 2024 Self-Play Preference Optimization for Language Model Alignment Yue Wu, Zhiqing Sun, Huizhuo Yuan, Kaixuan Ji, Yiming Yang, Quanquan Gu
NeurIPSW 2024 Self-Play Preference Optimization for Language Model Alignment Yue Wu, Zhiqing Sun, Huizhuo Yuan, Kaixuan Ji, Yiming Yang, Quanquan Gu
AAAI 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
ICML 2023 A Neural PDE Solver with Temporal Stencil Modeling Zhiqing Sun, Yiming Yang, Shinjae Yoo
ICMLW 2023 Accelerating Diffusion-Based Combinatorial Optimization Solvers by Progressive Distillation Junwei Huang, Zhiqing Sun, Yiming Yang
NeurIPS 2023 DIFUSCO: Graph-Based Diffusion Solvers for Combinatorial Optimization Zhiqing Sun, Yiming Yang
NeurIPS 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 Cox, Yiming Yang, Chuang Gan
ICLR 2023 Recitation-Augmented Language Models Zhiqing Sun, Xuezhi Wang, Yi Tay, Yiming Yang, Denny Zhou
NeurIPS 2022 DIMES: A Differentiable Meta Solver for Combinatorial Optimization Problems Ruizhong Qiu, Zhiqing Sun, Yiming Yang
ICLR 2022 Sparse Attention with Learning to Hash Zhiqing Sun, Yiming Yang, Shinjae Yoo
ICCV 2021 Rethinking Transformer-Based Set Prediction for Object Detection Zhiqing Sun, Shengcao Cao, Yiming Yang, Kris M. Kitani
ICML 2020 An EM Approach to Non-Autoregressive Conditional Sequence Generation Zhiqing Sun, Yiming Yang
ICLR 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
ICLR 2020 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
ICLRW 2020 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
NeurIPS 2019 Fast Structured Decoding for Sequence Models Zhiqing Sun, Zhuohan Li, Haoqing Wang, Di He, Zi Lin, Zhihong Deng
ICLR 2019 RotatE: Knowledge Graph Embedding by Relational Rotation in Complex Space Zhiqing Sun, Zhi-Hong Deng, Jian-Yun Nie, Jian Tang