Wang, Jianing

9 publications

ICLR 2026 R-Horizon: How Far Can Your Large Reasoning Model Really Go in Breadth and Depth? Yi Lu, Jianing Wang, Linsen Guo, Wei He, Hongyin Tang, Tao Gui, Xuanjing Huang, Xuezhi Cao, Wei Wang, Xunliang Cai

ICLR 2026 ScienceBoard: Evaluating Multimodal Autonomous Agents in Realistic Scientific Workflows Qiushi Sun, Zhoumianze Liu, Chang Ma, Zichen Ding, Fangzhi Xu, Zhangyue Yin, Haiteng Zhao, Zhenyu Wu, Kanzhi Cheng, Zhaoyang Liu, Jianing Wang, Qintong Li, Xiangru Tang, Tianbao Xie, Xiachong Feng, Xiang Li, Ben Kao, Wenhai Wang, Biqing Qi, Lingpeng Kong, Zhiyong Wu

CVPR 2025 HEIE: MLLM-Based Hierarchical Explainable AIGC Image Implausibility Evaluator Fan Yang, Ru Zhen, Jianing Wang, Yanhao Zhang, Haoxiang Chen, Haonan Lu, Sicheng Zhao, Guiguang Ding

ICLR 2025 OCEAN: Offline Chain-of-Thought Evaluation and Alignment in Large Language Models Junda Wu, Xintong Li, Ruoyu Wang, Yu Xia, Yuxin Xiong, Jianing Wang, Tong Yu, Xiang Chen, Branislav Kveton, Lina Yao, Jingbo Shang, Julian McAuley

ICML 2025 PINNsAgent: Automated PDE Surrogation with Large Language Models Qingpo Wuwu, Chonghan Gao, Tianyu Chen, Yihang Huang, Yuekai Zhang, Jianing Wang, Jianxin Li, Haoyi Zhou, Shanghang Zhang

AAAI 2025 Self-Evolutionary Large Language Models Through Uncertainty-Enhanced Preference Optimization Jianing Wang, Yang Zhou, Xiaocheng Zhang, Mengjiao Bao, Peng Yan

NeurIPS 2023 Optimal Treatment Allocation for Efficient Policy Evaluation in Sequential Decision Making Ting Li, Chengchun Shi, Jianing Wang, Fan Zhou, Hongtu Zhu

AAAI 2023 Uncertainty-Aware Self-Training for Low-Resource Neural Sequence Labeling Jianing Wang, Chengyu Wang, Jun Huang, Ming Gao, Aoying Zhou

NeurIPS 2020 Non-Crossing Quantile Regression for Distributional Reinforcement Learning Fan Zhou, Jianing Wang, Xingdong Feng