Xingwu Sun

According to our database, Xingwu Sun authored at least 47 papers between 2018 and 2025.

Collaborative distances:

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

2025

Fighting Fire with Fire (F3): A Training-free and Efficient Visual Adversarial Example Purification Method in LVLMs.

Yudong Zhang, Ruobing Xie, Yiqing Huang, Jiansheng Chen, Xingwu Sun, Zhanhui Kang, Di Wang, Yu Wang

CoRR, June, 2025

The Security Threat of Compressed Projectors in Large Vision-Language Models.

Yudong Zhang, Ruobing Xie, Xingwu Sun, Jiansheng Chen, Zhanhui Kang, Di Wang, Yu Wang

CoRR, June, 2025

The Climb Carves Wisdom Deeper Than the Summit: On the Noisy Rewards in Learning to Reason.

Ang Lv, Ruobing Xie, Xingwu Sun, Zhanhui Kang, Rui Yan

CoRR, May, 2025

Hunyuan-TurboS: Advancing Large Language Models through Mamba-Transformer Synergy and Adaptive Chain-of-Thought.

Ao Liu, Botong Zhou, Can Xu, Chayse Zhou, Chenchen Zhang, Chengcheng Xu, Chenhao Wang, Decheng Wu, Dengpeng Wu, Dian Jiao, Dong Du, Dong Wang, Feng Zhang, Fengzong Lian, Guanghui Xu, Guanwei Zhang, Hai Wang, Haipeng Luo, Han Hu, Huilin Xu, Jiajia Wu, Jianchen Zhu, Jianfeng Yan, Jiaqi Zhu, Jihong Zhang, Jinbao Xue, Jun Xia, Junqiang Zheng, Kai Liu, Kai Zhang, Kai Zheng, Kejiao Li, Keyao Wang, Lan Jiang, Lixin Liu, Lulu Wu, Mengyuan Huang, Peijie Yu, Peiqi Wang, Qian Wang, Qianbiao Xiang, Qibin Liu, Qingfeng Sun, Richard Guo, Ruobing Xie, Saiyong Yang, Shaohua Chen, Shihui Hu, Shuai Li, Shuaipeng Li, Shuang Chen, Suncong Zheng, Tao Yang, Tian Zhang, Tinghao Yu, Weidong Han, Weijie Liu, Weijin Zhou, Weikang Wang, Wesleye Chen, Xiao Feng, Xiaoqin Ren, Xingwu Sun, Xiong Kuang, Xuemeng Huang, Xun Cao, Yanfeng Chen, Yang Du, Yang Zhen, Yangyu Tao, Yaping Deng, Yi Shen, Yigeng Hong, Yiqi Chen, Yiqing Huang, Yuchi Deng, Yue Mao, Yulong Wang, Yuyuan Zeng, Zenan Xu, Zhanhui Kang, Zhe Zhao, Zhenxiang Yan, Zheng Fang, Zhichao Hu, Zhongzhi Chen, Zhuoyu Li, Zongwei Li, Alex Yan, Ande Liang, Baitong Liu, Beiping Pan, Bin Xing, Binghong Wu, Bingxin Qu, Bolin Ni, Boyu Wu, Chen Li, Cheng Jiang

CoRR, May, 2025

Large Language Model Empowered Recommendation Meets All-domain Continual Pre-Training.

Haokai Ma, Yunshan Ma, Ruobing Xie, Lei Meng, Jialie Shen, Xingwu Sun, Zhanhui Kang, Tat-Seng Chua

CoRR, April, 2025

TransMamba: Flexibly Switching between Transformer and Mamba.

Yixing Li, Ruobing Xie, Zhen Yang, Xingwu Sun, Shuaipeng Li, Weidong Han, Zhanhui Kang, Yu Cheng, Cheng-Zhong Xu, Di Wang, Jie Jiang

CoRR, March, 2025

PatchRec: Multi-Grained Patching for Efficient LLM-based Sequential Recommendation.

Jiayi Liao, Ruobing Xie, Sihang Li, Xiang Wang, Xingwu Sun, Zhanhui Kang, Xiangnan He

CoRR, January, 2025

Autonomy-of-Experts Models.

Ang Lv, Ruobing Xie, Yining Qian, Songhao Wu, Xingwu Sun, Zhanhui Kang, Di Wang, Rui Yan

CoRR, January, 2025

Scaling Laws for Floating Point Quantization Training.

Xingwu Sun, Shuaipeng Li, Ruobing Xie, Weidong Han, Kan Wu, Zhen Yang, Yixing Li, An Wang, Shuai Li, Jinbao Xue, Yu Cheng, Yangyu Tao, Zhanhui Kang, Chengzhong Xu, Di Wang, Jie Jiang

CoRR, January, 2025

Multi-Grained Patch Training for Efficient LLM-based Recommendation.

Jiayi Liao, Ruobing Xie, Sihang Li, Xiang Wang, Xingwu Sun, Zhanhui Kang, Xiangnan He

Proceedings of the 48th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2025

QAVA: Query-Agnostic Visual Attack to Large Vision-Language Models.

Yudong Zhang, Ruobing Xie, Jiansheng Chen, Xingwu Sun, Zhanhui Kang, Yu Wang

Proceedings of the 2025 Conference of the Nations of the Americas Chapter of the Association for Computational Linguistics: Human Language Technologies, 2025

Language Models "Grok" to Copy.

Ang Lv, Ruobing Xie, Xingwu Sun, Zhanhui Kang, Rui Yan

Proceedings of the 2025 Conference of the Nations of the Americas Chapter of the Association for Computational Linguistics: Human Language Technologies, 2025

Continuous Speech Tokenizer in Text To Speech.

Yixing Li, Ruobing Xie, Xingwu Sun, Yu Cheng, Zhanhui Kang

Proceedings of the Findings of the Association for Computational Linguistics: NAACL 2025, Albuquerque, New Mexico, USA, April 29, 2025

PhD: A ChatGPT-Prompted Visual Hallucination Evaluation Dataset.

Jiazhen Liu, Yuhan Fu, Ruobing Xie, Runquan Xie, Xingwu Sun, Fengzong Lian, Zhanhui Kang, Xirong Li

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2025

Exploring Forgetting in Large Language Model Pre-Training.

Chonghua Liao, Ruobing Xie, Xingwu Sun, Haowen Sun, Zhanhui Kang

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

Mitigating Hallucination in Multimodal Large Language Model via Hallucination-targeted Direct Preference Optimization.

Yuhan Fu, Ruobing Xie, Xingwu Sun, Zhanhui Kang, Xirong Li

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

Enhancing Contrastive Learning Inspired by the Philosophy of "The Blind Men and the Elephant".

Yudong Zhang, Ruobing Xie, Jiansheng Chen, Xingwu Sun, Zhanhui Kang, Yu Wang

Proceedings of the AAAI-25, Sponsored by the Association for the Advancement of Artificial Intelligence, February 25, 2025

2024

DHCP: Detecting Hallucinations by Cross-modal Attention Pattern in Large Vision-Language Models.

Yudong Zhang, Ruobing Xie, Jiansheng Chen, Xingwu Sun, Zhanhui Kang, Yu Wang

CoRR, 2024

More Expressive Attention with Negative Weights.

Ang Lv, Ruobing Xie, Shuaipeng Li, Jiayi Liao, Xingwu Sun, Zhanhui Kang, Di Wang, Rui Yan

CoRR, 2024

Hunyuan-Large: An Open-Source MoE Model with 52 Billion Activated Parameters by Tencent.

Xingwu Sun, Yanfeng Chen, Yiqing Huang, Ruobing Xie, Jiaqi Zhu, Kai Zhang, Shuaipeng Li, Zhen Yang, Jonny Han, Xiaobo Shu, Jiahao Bu, Zhongzhi Chen, Xuemeng Huang, Fengzong Lian, Saiyong Yang, Jianfeng Yan, Yuyuan Zeng, Xiaoqin Ren, Chao Yu, Lulu Wu, Yue Mao, Jun Xia, Tao Yang, Suncong Zheng, Kan Wu, Dian Jiao, Jinbao Xue, Xipeng Zhang, Decheng Wu, Kai Liu, Dengpeng Wu, Guanghui Xu, Shaohua Chen, Shuang Chen, Xiao Feng, Yigeng Hong, Junqiang Zheng, Chengcheng Xu, Zongwei Li, Xiong Kuang, Jianglu Hu, Yiqi Chen, Yuchi Deng, Guiyang Li, Ao Liu, Chenchen Zhang, Shihui Hu, Zilong Zhao, Zifan Wu, Yao Ding, Weichao Wang, Han Liu, Roberts Wang, Hao Fei, Peijie Yu, Ze Zhao, Xun Cao, Hai Wang, Fusheng Xiang, Mengyuan Huang, Zhiyuan Xiong, Bin Hu, Xuebin Hou, Lei Jiang, Jianqiang Ma, Jiajia Wu, Yaping Deng, Yi Shen, Qian Wang, Weijie Liu, Jie Liu, Meng Chen, Liang Dong, Weiwen Jia, Hu Chen, Feifei Liu, Rui Yuan, Huilin Xu, Zhenxiang Yan, Tengfei Cao, Zhichao Hu, Xinhua Feng, Dong Du, Tinghao Yu, Yangyu Tao, Feng Zhang, Jianchen Zhu, Chengzhong Xu, Xirui Li, Chong Zha, Wen Ouyang, Yinben Xia, Xiang Li, Zekun He, Rongpeng Chen, Jiawei Song, Ruibin Chen, Fan Jiang, Chongqing Zhao, Bo Wang

CoRR, 2024

Lossless KV Cache Compression to 2%.

Zhen Yang, J. N. Han, Kan Wu, Ruobing Xie, An Wang, Xingwu Sun, Zhanhui Kang

CoRR, 2024

RosePO: Aligning LLM-based Recommenders with Human Values.

Jiayi Liao, Xiangnan He, Ruobing Xie, Jiancan Wu, Yancheng Yuan, Xingwu Sun, Zhanhui Kang, Xiang Wang

CoRR, 2024

Negative Sampling in Recommendation: A Survey and Future Directions.

Haokai Ma, Ruobing Xie, Lei Meng, Fuli Feng, Xiaoyu Du, Xingwu Sun, Zhanhui Kang, Xiangxu Meng

CoRR, 2024

HMoE: Heterogeneous Mixture of Experts for Language Modeling.

An Wang, Xingwu Sun, Ruobing Xie, Shuaipeng Li, Jiaqi Zhu, Zhen Yang, Pinxue Zhao, J. N. Han, Zhanhui Kang, Di Wang, Naoaki Okazaki, Cheng-Zhong Xu

CoRR, 2024

Diverse and Fine-Grained Instruction-Following Ability Exploration with Synthetic Data.

Zihui Gu, Xingwu Sun, Fengzong Lian, Zhanhui Kang, Cheng-Zhong Xu, Ju Fan

CoRR, 2024

PhD: A Prompted Visual Hallucination Evaluation Dataset.

Jiazhen Liu, Yuhan Fu, Ruobing Xie, Runquan Xie, Xingwu Sun, Fengzong Lian, Zhanhui Kang, Xirong Li

CoRR, 2024

The Elephant in the Room: Rethinking the Usage of Pre-trained Language Model in Sequential Recommendation.

Zekai Qu, Ruobing Xie, Chaojun Xiao, Zhanhui Kang, Xingwu Sun

Proceedings of the 18th ACM Conference on Recommender Systems, 2024

Surge Phenomenon in Optimal Learning Rate and Batch Size Scaling.

Shuaipeng Li, Penghao Zhao, Hailin Zhang, Xingwu Sun, Hao Wu, Dian Jiao, Weiyan Wang, Chengjun Liu, Zheng Fang, Jinbao Xue, Yangyu Tao, Bin Cui, Di Wang

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

PIP: Detecting Adversarial Examples in Large Vision-Language Models via Attention Patterns of Irrelevant Probe Questions.

Yudong Zhang, Ruobing Xie, Jiansheng Chen, Xingwu Sun, Yu Wang

Proceedings of the 32nd ACM International Conference on Multimedia, MM 2024, Melbourne, VIC, Australia, 28 October 2024, 2024

SeeDRec: Sememe-based Diffusion for Sequential Recommendation.

Haokai Ma, Ruobing Xie, Lei Meng, Yimeng Yang, Xingwu Sun, Zhanhui Kang

Proceedings of the Thirty-Third International Joint Conference on Artificial Intelligence, 2024

Style Controlling in Recommendation.

Ruobing Xie, Xin Chen, Su Yan, Jinghan Chen, Xu Zhang, Xingwu Sun, Leyu Lin, Zhanhui Kang

Proceedings of the Database Systems for Advanced Applications, 2024

LightVLP: A Lightweight Vision-Language Pre-training via Gated Interactive Masked AutoEncoders.

Xingwu Sun, Zhen Yang, Ruobing Xie, Fengzong Lian, Zhanhui Kang, Chengzhong Xu

Proceedings of the 2024 Joint International Conference on Computational Linguistics, 2024

DINGO: Towards Diverse and Fine-Grained Instruction-Following Evaluation.

Zihui Gu, Xingwu Sun, Fengzong Lian, Zhanhui Kang, Chengzhong Xu, Ju Fan

Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

Truth Forest: Toward Multi-Scale Truthfulness in Large Language Models through Intervention without Tuning.

Zhongzhi Chen, Xingwu Sun, Xianfeng Jiao, Fengzong Lian, Zhanhui Kang, Di Wang, Chengzhong Xu

Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023

Inflected Forms Are Redundant in Question Generation Models.

Xingwu Sun, Hongyin Tang, Chengzhong Xu

CoRR, 2023

CMMix: Cross-Modal Mix Augmentation Between Images and Texts for Visual Grounding.

Tao Hong, Ya Wang, Xingwu Sun, Xiaoqing Li, Jinwen Ma

Proceedings of the Neural Information Processing - 30th International Conference, 2023

GradSalMix: Gradient Saliency-Based Mix for Image Data Augmentation.

Tao Hong, Ya Wang, Xingwu Sun, Fengzong Lian, Zhanhui Kang, Jinwen Ma

Proceedings of the IEEE International Conference on Multimedia and Expo, 2023

TencentPretrain: A Scalable and Flexible Toolkit for Pre-training Models of Different Modalities.

Zhe Zhao, Yudong Li, Cheng Hou, Jing Zhao, Rong Tian, Weijie Liu, Yiren Chen, Ningyuan Sun, Haoyan Liu, Weiquan Mao, Han Guo, Weigang Guo, Taiqiang Wu, Tao Zhu, Wenhang Shi, Chen Chen, Shan Huang, Sihong Chen, Liqun Liu, Feifei Li, Xiaoshuai Chen, Xingwu Sun, Zhanhui Kang, Xiaoyong Du, Linlin Shen, Kimmo Yan

Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics: System Demonstrations, 2023

2022

An Anchor-based Relative Position Embedding Method for Cross-Modal Tasks.

Ya Wang, Xingwu Sun, Fengzong Lian, Zhanhui Kang, Chengzhong Xu

Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, 2022

2021

TITA: A Two-stage Interaction and Topic-Aware Text Matching Model.

Xingwu Sun, Yanling Cui, Hongyin Tang, Qiuyu Zhu, Fuzheng Zhang, Beihong Jin

Proceedings of the 2021 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2021

Enhancing Document Ranking with Task-adaptive Training and Segmented Token Recovery Mechanism.

Xingwu Sun, Yanling Cui, Hongyin Tang, Fuzheng Zhang, Beihong Jin, Shi Wang

Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing, 2021

Improving Document Representations by Generating Pseudo Query Embeddings for Dense Retrieval.

Hongyin Tang, Xingwu Sun, Beihong Jin, Jingang Wang, Fuzheng Zhang, Wei Wu

Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing, 2021

A Bidirectional Multi-paragraph Reading Model for Zero-shot Entity Linking.

Hongyin Tang, Xingwu Sun, Beihong Jin, Fuzheng Zhang

Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

2020

TABLE: A Task-Adaptive BERT-based ListwisE Ranking Model for Document Retrieval.

Xingwu Sun, Hongyin Tang, Fuzheng Zhang, Yanling Cui, Beihong Jin, Zhongyuan Wang

Proceedings of the CIKM '20: The 29th ACM International Conference on Information and Knowledge Management, 2020

2019

A deep spatio-temporal attention-based neural network for passenger flow prediction.

Yanling Cui, Beihong Jin, Fusang Zhang, Xingwu Sun

Proceedings of the MobiQuitous 2019, 2019

Answer-Focused and Position-Aware Neural Network for Transfer Learning in Question Generation.

Kangli Zi, Xingwu Sun, Yanan Cao, Shi Wang, Xiaoming Feng, Zhaobo Ma, Cungen Cao

Proceedings of the Knowledge Science, Engineering and Management, 2019

2018

Answer-focused and Position-aware Neural Question Generation.

Xingwu Sun, Jing Liu, Yajuan Lyu, Wei He, Yanjun Ma, Shi Wang

Proceedings of the 2018 Conference on Empirical Methods in Natural Language Processing, Brussels, Belgium, October 31, 2018