姜文浩 研究员

学习&工作经历：
2023年8月-至今 光明实验室研究员
2015年-2023年 腾讯AI Lab、腾讯数据平台部 高级研究员
2014年-2015年 德州大学阿灵顿分校 博士后
2009年-2014年 香港理工大学 博士研究生
2006年-2009年 哈尔滨工业大学深圳研究生院 计算机科学与技术 硕士研究生
2002年-2006年 山东大学 计算机科学与技术 本科

邮箱：jiangwenhao@gml.ac.cn
个人主页：https://cswhjiang.github.io/

研究领域：
生成式大模型相关领域，比如大模型结构优化、大模型基本能力优化、基于大模型的多模态理解和生成等。

学术任职：
IEEE会员、NuerIPS 2026 领域主席、EMNLP 2026 Industry Track 领域主席等。

发表论文论著：
部分论文如下，完整列表请查看Google Scholar 主页：

Evaluating clinical competencies of large language models with a general practice benchmark. Zheqing Li, Yiying Yang, Jiping Lang, Wenhao Jiang, Yuhang Zhao, Shuang Li, Dingqian Wang, Zhu Lin, Xuanna Li, Yuze Tang, Jiexian Qiu, Xiaolin Lu, Hongji Yu, Shuang Chen, Yuhua Bi, Xiaofei Zeng, Yixian Chen, Junrong Chen, Lin Yao. Nature Communications (2026). [PDF]

OddGridBench: Exposing the Lack of Fine-Grained Visual Discrepancy Sensitivity in Multimodal Large Language Models. Tengjin Weng, Wenhao Jiang, Jingyi Wang, Ming Li, Lin Ma, Zhong Ming. CVPR (2026). [PDF]

Enhancing Geometric Perception in VLMs via Translator-Guided Reinforcement Learning. Hao Yu, Shuning Jia, Guanghao Li, Wenhao Jiang, Chun Yuan. ICLR 2026. [PDF]

SDE-SQL: Enhancing Text-to-SQL Generation in Large Language Models via Self-Driven Exploration with SQL Probes. Wenxuan Xie, Yaxun Dai, Wenhao Jiang. ACL (2026). [PDF]

ReEx-SQL: Reasoning with Execution-Aware Reinforcement Learning for Text-to-SQL. Yaxun Dai, Wenxuan Xie, Xialie Zhuang, Tianyu Yang, Yiying Yang, Haiqin Yang, Yuhang Zhao, Pingfu Chao, Wenhao Jiang. ACL (2026). [PDF]

Zero Token-Driven Deep Thinking in LLMs: Unlocking the Full Potential of Existing Parameters via Cyclic Refinement. Guanghao Li, Wenhao Jiang, Li Shen, Ming Tang, Chun Yuan. ACL 2026 Findings. [PDF]

SCOUT: Teaching Pre-trained Language Models to Enhance Reasoning via Flow Chain-of-Thought. Guanghao Li, Wenhao Jiang, Mingfeng Chen, Yan Li, Hao Yu, Shuting Dong, Tao Ren, Ming Tang, and Chun Yuan. NeurIPS (2025). [PDF]

AdmTree: Compressing Lengthy Context with Adaptive Semantic Trees. Yangning Li, Shaoshen Chen, Yinghui Li, Yankai Chen, Hai-Tao Zheng, Hui Wang, Wenhao Jiang, Philip S. Yu. NeurIPS (2025). [PDF]

CLEME2.0: Towards Interpretable Evaluation by Disentangling Edits for Grammatical Error Correction. Jingheng Ye, Zishan Xu, Yinghui Li, Linlin Song, Qingyu Zhou, Hai-Tao Zheng, Ying Shen, Wenhao Jiang}, Hong-Gee Kim, Ruitong Liu, Xin Su, Zifei Shan. ACL 2025 Main. [PDF]

RAISE: Reinforced Adaptive Instruction Selection For Large Language Models. Qingsong Lv, Yangning Li, Zihua Lan, Zishan Xu, Jiwei Tang, Tingwei Lu, Yinghui Li, Wenhao Jiang, Hong-Gee Kim, Hai-Tao Zheng, Philip S. Yu. EMNLP 2025 Findings. [PDF]

Teaching According to Talents! Instruction Tuning LLMs with Competence-Aware Curriculum Learning. Yangning Li, Tingwei Lu, Yinghui Li, Yankai Chen, Wei-Chieh Huang, Wenhao Jiang, Hui Wang, Hai-Tao Zheng, Philip S. Yu. EMNLP 2025 Findings. [PDF]

MKT: A Multi-Stage Knowledge Transfer Framework to Mitigate Catastrophic Forgetting in Multi-Domain Chinese Spelling Correction. Peng Xing, Yinghui Li, Shirong Ma, Xinnian Liang, Haojing Huang, Yangning Li, Shu-Yu Guo, Hai-Tao Zheng, Wenhao Jiang, Ying Shen. ACL’25 (Industry). [PDF]

Express 💬 What You See 👀: Can Multimodal LLMs Decode Visual Ciphers with Intuitive Semiosis Comprehension? Jiayi Kuang, Yinghui Li, Chen Wang, Haohao Luo, Ying Shen, Wenhao Jiang. ACL 2025 Findings. [PDF]

VisNumBench: Evaluating Number Sense of Multimodal Large Language Models. Tengjin Weng, Jingyi Wang, Wenhao Jiang, Zhong Ming. ICCV (2025). [PDF] [CODE]

UltraWiki: Ultra-fine-grained Entity Set Expansion with Negative Seed Entities. Yangning Li, Qingsong Lv, Tianyu Yu, Yinghui Li, Shulin Huang, Tingwei Lu, Xuming Hu, Wenhao JIang, Hai-Tao Zheng, Hui Wang. ICDE (2025). [PDF]

EXCGEC: A Benchmark for Edit-Wise Explainable Chinese Grammatical Error Correction. Jingheng Ye, Shang Qin, Yinghui Li, Xuxin Cheng, Libo Qin, Hai-Tao Zheng, Ying Shen, Peng Xing, Zishan Xu, Guo Cheng, Wenhao Jiang. AAAI (2025). [PDF]

Rethinking the Roles of Large Language Models in Chinese Grammatical Error Correction. Yinghui Li, Shang Qin, Jingheng Ye, Shirong Ma, Yangning Li, Libo Qin, Xuming Hu, Wenhao Jiang, Hai-Tao Zheng, Philip S. Yu. ACL 2025 Industry Track. [PDF]

LanguageBind: Extending Video-Language Pretraining to N-modality by Language-based Semantic Alignment. Bin Zhu, Bin Lin, Munan Ning, Yang Yan, Jiaxi Cui, HongFa Wang, Yatian Pang, Wenhao Jiang, Junwu Zhang, Zongwei Li, Wancai Zhang, Zhifeng Li, Wei Liu, Li Yuan. ICLR 2024. [PDF] [CODE]

VLMixer: Unpaired Vision-Language Pre-training via Cross-Modal CutMix. Teng Wang, Wenhao Jiang, Zhichao Lu, Feng Zheng, Ran Cheng, Chengguo Yin, Ping Luo. ICML 2022. [PDF]

DynaMixer: A Vision MLP Architecture with Dynamic Mixing. Ziyu Wang, Wenhao Jiang, Yiming Zhu, Li Yuan, Yibing Song, and Wei Liu. ICML 2022. [PDF] [CODE]

SWEM: Towards Real-Time Video Object Segmentation with Sequential Weighted Expectation-Maximization. Zhihui Lin, Tianyu Yang, Maomao Li, Ziyu Wang, Chun Yuan, Wenhao Jiang, Wei Liu. CVPR 2022. [PDF] [CODE]

Show, Tell and Rephrase: Diverse Video Captioning via Two-Stage Progressive Training. Zhu Liu, Teng Wang, Jinrui Zhang, Feng Zheng, Wenhao Jiang, and Ke Lu. IEEE Transactions on Multimedia (2022). [PDF]

申请专利：

已获得授权国内专利37项，美国专利11项，其他国家15项。