Wang, Jingang

15 publications

ICLR 2026 Expanding Reasoning Potential in Foundation Model by Learning Diverse Chains of Thought Patterns Xuemiao Zhang, Can Ren, Chengying Tu, Rongxiang Weng, Shuo Wang, Hongfei Yan, Jingang Wang, Xunliang Cai

ICLR 2026 Fine-Tuning Done Right in Model Editing Wanli Yang, Rui Tang, Hongyu Zang, Du Su, Qi Cao, Jingang Wang, Huawei Shen, Xueqi Cheng, Fei Sun

ICLR 2026 RepSpec: Structural Re-Parameterized Draft Model Training for Speculative Decoding Feiye Huo, Jianchao Tan, Jiahao Liu, Zixu Jiang, Jiacheng Li, Jingang Wang, Xunliang Cai, Shengli Sun

ICLR 2025 AgentRefine: Enhancing Agent Generalization Through Refinement Tuning Dayuan Fu, Keqing He, Yejie Wang, Wentao Hong, Zhuoma GongQue, Weihao Zeng, Wei Wang, Jingang Wang, Xunliang Cai, Weiran Xu

ICLR 2025 Earlier Tokens Contribute More: Learning Direct Preference Optimization from Temporal Decay Perspective Ruichen Shao, Bei Li, Gangao Liu, Yang Chen, ZhouXiang, Jingang Wang, Xunliang Cai, Peng Li

NeurIPS 2025 NeedleInATable: Exploring Long-Context Capability of Large Language Models Towards Long-Structured Tables Lanrui Wang, Mingyu Zheng, Hongyin Tang, Zheng Lin, Yanan Cao, Jingang Wang, Xunliang Cai, Weiping Wang

AAAI 2025 SEAS: Self-Evolving Adversarial Safety Optimization for Large Language Models Muxi Diao, Rumei Li, Shiyang Liu, Guogang Liao, Jingang Wang, Xunliang Cai, Weiran Xu

AAAI 2024 CoSTA: End-to-End Comprehensive Space-Time Entanglement for Spatio-Temporal Video Grounding Yaoyuan Liang, Xiao Liang, Yansong Tang, Zhao Yang, Ziran Li, Jingang Wang, Wenbo Ding, Shao-Lun Huang

AAAI 2024 MCL-NER: Cross-Lingual Named Entity Recognition via Multi-View Contrastive Learning Ying Mo, Jian Yang, Jiahao Liu, Qifan Wang, Ruoyu Chen, Jingang Wang, Zhoujun Li

NeurIPS 2024 Predictor-Corrector Enhanced Transformers with Exponential Moving Average Coefficient Learning Bei Li, Tong Zheng, Rui Wang, Jiahao Liu, Qingyan Guo, Junliang Guo, Xu Tan, Tong Xiao, Jingbo Zhu, Jingang Wang, Xunliang Cai

NeurIPS 2024 Unleashing Region Understanding in Intermediate Layers for MLLM-Based Referring Expression Generation Yaoyuan Liang, Zhuojun Cai, Jian Xu, Guanbo Huang, Yiran Wang, Xiao Liang, Jiahao Liu, Ziran Li, Jingang Wang, Shao-Lun Huang

AAAI 2024 What Makes Quantization for Large Language Model Hard? an Empirical Study from the Lens of Perturbation Zhuocheng Gong, Jiahao Liu, Jingang Wang, Xunliang Cai, Dongyan Zhao, Rui Yan

NeurIPS 2022 Moderate-Fitting as a Natural Backdoor Defender for Pre-Trained Language Models Biru Zhu, Yujia Qin, Ganqu Cui, Yangyi Chen, Weilin Zhao, Chong Fu, Yangdong Deng, Zhiyuan Liu, Jingang Wang, Wei Wu, Maosong Sun, Ming Gu

IJCAI 2019 Earlier Attention? Aspect-Aware LSTM for Aspect-Based Sentiment Analysis Bowen Xing, Lejian Liao, Dandan Song, Jingang Wang, Fuzheng Zhang, Zhongyuan Wang, Heyan Huang

AAAI 2018 A Multi-Task Learning Approach for Improving Product Title Compression with User Search Log Data Jingang Wang, Junfeng Tian, Long Qiu, Sheng Li, Jun Lang, Luo Si, Man Lan