Haozhe Wang

According to our database, Haozhe Wang authored at least 19 papers between 2020 and 2025.

Collaborative distances:

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

2025

StructEval: Benchmarking LLMs' Capabilities to Generate Structural Outputs.

Jialin Yang, Dongfu Jiang, Lipeng 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

CoRR, May, 2025

Benchmarking Multimodal Knowledge Conflict for Large Multimodal Models.

Yifan Jia, Kailin Jiang, Yuyang Liang, Qihan Ren, Yi Xin, Rui Yang, Fenze Feng, Mingcai Chen, Hengyang Lu, Haozhe Wang, Xiaoye Qu, Dongrui Liu, Lizhen Cui, Yuntao Du

CoRR, May, 2025

Beyond Distillation: Pushing the Limits of Medical LLM Reasoning with Minimalist Rule-Based RL.

Che Liu, Haozhe Wang, Jiazhen Pan, Zhongwei Wan, Yong Dai, Fangzhen Lin, Wenjia Bai, Daniel Rueckert, Rossella Arcucci

CoRR, May, 2025

Pixel Reasoner: Incentivizing Pixel-Space Reasoning with Curiosity-Driven Reinforcement Learning.

Alex Su, Haozhe Wang, Weiming Ren, Fangzhen Lin, Wenhu Chen

CoRR, May, 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

CoRR, April, 2025

TR-DQ: Time-Rotation Diffusion Quantization.

Yihua Shao, Deyang Lin, Fanhu Zeng, Minxi Yan, Muyang Zhang, Siyu Chen, Yuxuan Fan, Ziyang Yan, Haozhe Wang, Jingcai Guo, Yan Wang, Haotong Qin, Hao Tang

CoRR, March, 2025

Knowledge-enhanced Multimodal ECG Representation Learning with Arbitrary-Lead Inputs.

Che Liu, Cheng Ouyang, Zhongwei Wan, Haozhe Wang, Wenjia Bai, Rossella Arcucci

CoRR, February, 2025

Learning Autonomous Code Integration for Math Language Models.

Haozhe Wang, Long Li, Chao Qu, Fengming Zhu, Weidi Xu, Wei Chu, Fangzhen Lin

CoRR, February, 2025

ACECODER: Acing Coder RL via Automated Test-Case Synthesis.

Huaye Zeng, Dongfu Jiang, Haozhe Wang, Ping Nie, Xiaotong Chen, Wenhu Chen

Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2025

Argus: Benchmarking and Enhancing Vision-Language Models for 3D Radiology Report Generation.

Che Liu, Zhongwei Wan, Yuqi Wang, Hui Shen, Haozhe Wang, Kangyu Zheng, Mi Zhang, Rossella Arcucci

Proceedings of the Findings of the Association for Computational Linguistics, 2025

Can Medical Vision-Language Pre-training Succeed with Purely Synthetic Data?

Che Liu, Zhongwei Wan, Haozhe Wang, Yinda Chen, Talha Qaiser, Chen Jin, Nikolay Burlutskiy, Fariba Yousefi, Rossella Arcucci

Proceedings of the Findings of the Association for Computational Linguistics, 2025

To Code or not to Code? Adaptive Tool Integration for Math Language Models via Expectation-Maximization.

Haozhe Wang, Long Li, Chao Qu, Weidi Xu, Fengming Zhu, Wei Chu, Fangzhen Lin

Proceedings of the Findings of the Association for Computational Linguistics, 2025

2024

RenderWorld: World Model with Self-Supervised 3D Label.

Ziyang Yan, Wenzhen Dong, Yihua Shao, Yuhang Lu, Haiyang Liu, Jingwen Liu, Haozhe Wang, Zhe Wang, Yan Wang, Fabio Remondino, Yuexin Ma

CoRR, 2024

Benchmarking and Boosting Radiology Report Generation for 3D High-Resolution Medical Images.

Che Liu, Zhongwei Wan, Yuqi Wang, Hui Shen, Haozhe Wang, Kangyu Zheng, Mi Zhang, Rossella Arcucci

CoRR, 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 E. Lee, Junlong Du, Haozhe Wang, Mingcai Chen, Ting Liu, Guimin Hu, Zhongwei Wan, Rongchao Zhang, Aoxue Li, Mingyang Yi, Xiaohong Liu

Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2024, 2024

2023

Adversarial Constrained Bidding via Minimax Regret Optimization with Causality-Aware Reinforcement Learning.

Haozhe Wang, Chao Du, Panyan Fang, Li He, Liang Wang, Bo Zheng

Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2023

Grounded Image Text Matching with Mismatched Relation Reasoning.

Yu Wu, Yana Wei, Haozhe Wang, Yongfei Liu, Sibei Yang, Xuming He

Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

2022

ROI-Constrained Bidding via Curriculum-Guided Bayesian Reinforcement Learning.

Haozhe Wang, Chao Du, Panyan Fang, Shuo Yuan, Xuming He, Liang Wang, Bo Zheng

Proceedings of the KDD '22: The 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, Washington, DC, USA, August 14, 2022

2020

Learning Context-aware Task Reasoning for Efficient Meta Reinforcement Learning.

Haozhe Wang, Jiale Zhou, Xuming He

Proceedings of the 19th International Conference on Autonomous Agents and Multiagent Systems, 2020