Wang, Haozhe

7 publications

ICLR 2026 Emergent Hierarchical Reasoning in LLMs Through Reinforcement Learning Haozhe Wang, Qixin Xu, Che Liu, Junhong Wu, Fangzhen Lin, Wenhu Chen

ICLR 2026 Reverse-Engineered Reasoning for Open-Ended Generation Haozhe Wang, Haoran Que, Qixin Xu, Minghao Liu, Wangchunshu Zhou, Jiazhan Feng, Wanjun Zhong, Wei Ye, Tong Yang, Wenhao Huang, Ge Zhang, Fangzhen Lin

TMLR 2026 StructEval: Benchmarking LLMs' Capabilities to Generate Structural Outputs Jialin Yang, Dongfu Jiang, Tony He, Sherman Siu, Yuxuan Zhang, Disen Liao, Zhuofeng Li, Huaye Zeng, Yiming Jia, Haozhe Wang, Benjamin Schneider, Chi Ruan, Wentao Ma, Zhiheng Lyu, Yifei Wang, Yi Lu, Quy Duc Do, Ziyan Jiang, Ping Nie, Wenhu Chen

NeurIPS 2025 Pixel Reasoner: Incentivizing Pixel Space Reasoning via Curiosity-Driven Reinforcement Learning Alex Su, Haozhe Wang, Weiming Ren, Fangzhen Lin, Wenhu Chen

NeurIPS 2025 VL-Rethinker: Incentivizing Self-Reflection of Vision-Language Models with Reinforcement Learning Haozhe Wang, Chao Qu, Zuming Huang, Wei Chu, Fangzhen Lin, Wenhu Chen

NeurIPS 2024 V-PETL Bench: A Unified Visual Parameter-Efficient Transfer Learning Benchmark Yi Xin, Siqi Luo, Xuyang Liu, Yuntao Du, Haodi Zhou, Xinyu Cheng, Christina Lee, Junlong Du, Haozhe Wang, Mingcai Chen, Ting Liu, Guimin Hu, Zhongwei Wan, Rongchao Zhang, Aoxue Li, Mingyang Yi, Xiaohong Liu

ICCV 2023 Grounded Image Text Matching with Mismatched Relation Reasoning Yu Wu, Yana Wei, Haozhe Wang, Yongfei Liu, Sibei Yang, Xuming He