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2020 – today
- 2024
[c19]Zihui Gu, Xingwu Sun, Fengzong Lian, Zhanhui Kang, Chengzhong Xu, Ju Fan:
DINGO: Towards Diverse and Fine-Grained Instruction-Following Evaluation. AAAI 2024: 18108-18116- [c18]Zhongzhi Chen, Xingwu Sun, Xianfeng Jiao, Fengzong Lian, Zhanhui Kang, Di Wang, Chengzhong Xu:
Truth Forest: Toward Multi-Scale Truthfulness in Large Language Models through Intervention without Tuning. AAAI 2024: 20967-20974 - [c17]Xingwu Sun, Zhen Yang, Ruobing Xie, Fengzong Lian, Zhanhui Kang, Chengzhong Xu:
LightVLP: A Lightweight Vision-Language Pre-training via Gated Interactive Masked AutoEncoders. LREC/COLING 2024: 10499-10510 - [c16]Ruobing Xie, Xin Chen, Su Yan, Jinghan Chen, Xu Zhang, Xingwu Sun, Leyu Lin, Zhanhui Kang:
Style Controlling in Recommendation. DASFAA (7) 2024: 427-431 - [c15]Haokai Ma, Ruobing Xie, Lei Meng, Yimeng Yang, Xingwu Sun, Zhanhui Kang:
SeeDRec: Sememe-based Diffusion for Sequential Recommendation. IJCAI 2024: 2270-2278 - [c14]Yudong Zhang
, Ruobing Xie, Jiansheng Chen, Xingwu Sun, Yu Wang:
PIP: Detecting Adversarial Examples in Large Vision-Language Models via Attention Patterns of Irrelevant Probe Questions. ACM Multimedia 2024: 11175-11183 - [c13]Zekai Qu, Ruobing Xie, Chaojun Xiao, Zhanhui Kang, Xingwu Sun:
The Elephant in the Room: Rethinking the Usage of Pre-trained Language Model in Sequential Recommendation. RecSys 2024: 53-62 - [i12]Jiazhen Liu, Yuhan Fu, Ruobing Xie, Runquan Xie, Xingwu Sun, Fengzong Lian, Zhanhui Kang, Xirong Li:
PhD: A Prompted Visual Hallucination Evaluation Dataset. CoRR abs/2403.11116 (2024) - [i11]Zekai Qu, Ruobing Xie, Chaojun Xiao, Xingwu Sun, Zhanhui Kang:
The Elephant in the Room: Rethinking the Usage of Pre-trained Language Model in Sequential Recommendation. CoRR abs/2404.08796 (2024) - [i10]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:
Surge Phenomenon in Optimal Learning Rate and Batch Size Scaling. CoRR abs/2405.14578 (2024) - [i9]Zihui Gu, Xingwu Sun, Fengzong Lian, Zhanhui Kang, Cheng-Zhong Xu, Ju Fan:
Diverse and Fine-Grained Instruction-Following Ability Exploration with Synthetic Data. CoRR abs/2407.03942 (2024) - [i8]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:
HMoE: Heterogeneous Mixture of Experts for Language Modeling. CoRR abs/2408.10681 (2024) - [i7]Yudong Zhang, Ruobing Xie, Jiansheng Chen, Xingwu Sun, Yu Wang:
PIP: Detecting Adversarial Examples in Large Vision-Language Models via Attention Patterns of Irrelevant Probe Questions. CoRR abs/2409.05076 (2024) - [i6]Haokai Ma, Ruobing Xie, Lei Meng, Fuli Feng, Xiaoyu Du, Xingwu Sun, Zhanhui Kang, Xiangxu Meng:
Negative Sampling in Recommendation: A Survey and Future Directions. CoRR abs/2409.07237 (2024) - [i5]Ang Lv, Ruobing Xie, Xingwu Sun, Zhanhui Kang, Rui Yan:
Language Models "Grok" to Copy. CoRR abs/2409.09281 (2024) - 2023
- [c12]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:
TencentPretrain: A Scalable and Flexible Toolkit for Pre-training Models of Different Modalities. ACL (demo) 2023: 217-225 - [c11]Tao Hong, Ya Wang, Xingwu Sun, Fengzong Lian, Zhanhui Kang, Jinwen Ma:
GradSalMix: Gradient Saliency-Based Mix for Image Data Augmentation. ICME 2023: 1799-1804 - [c10]Tao Hong, Ya Wang, Xingwu Sun, Xiaoqing Li, Jinwen Ma:
CMMix: Cross-Modal Mix Augmentation Between Images and Texts for Visual Grounding. ICONIP (12) 2023: 471-482 - [i4]Xingwu Sun, Hongyin Tang, Chengzhong Xu:
Inflected Forms Are Redundant in Question Generation Models. CoRR abs/2301.00397 (2023) - [i3]Zhongzhi Chen, Xingwu Sun, Xianfeng Jiao, Fengzong Lian, Zhanhui Kang, Di Wang, Cheng-Zhong Xu:
Truth Forest: Toward Multi-Scale Truthfulness in Large Language Models through Intervention without Tuning. CoRR abs/2312.17484 (2023) - 2022
- [c9]Ya Wang, Xingwu Sun, Fengzong Lian, Zhanhui Kang, Chengzhong Xu:
An Anchor-based Relative Position Embedding Method for Cross-Modal Tasks. EMNLP 2022: 5401-5413 - [i2]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:
TencentPretrain: A Scalable and Flexible Toolkit for Pre-training Models of Different Modalities. CoRR abs/2212.06385 (2022) - 2021
- [c8]Hongyin Tang, Xingwu Sun, Beihong Jin, Fuzheng Zhang:
A Bidirectional Multi-paragraph Reading Model for Zero-shot Entity Linking. AAAI 2021: 13889-13897 - [c7]Hongyin Tang, Xingwu Sun, Beihong Jin, Jingang Wang, Fuzheng Zhang, Wei Wu:
Improving Document Representations by Generating Pseudo Query Embeddings for Dense Retrieval. ACL/IJCNLP (1) 2021: 5054-5064 - [c6]Xingwu Sun, Yanling Cui, Hongyin Tang, Fuzheng Zhang, Beihong Jin, Shi Wang:
Enhancing Document Ranking with Task-adaptive Training and Segmented Token Recovery Mechanism. EMNLP (1) 2021: 3570-3579 - [c5]Xingwu Sun, Yanling Cui, Hongyin Tang, Qiuyu Zhu, Fuzheng Zhang, Beihong Jin:
TITA: A Two-stage Interaction and Topic-Aware Text Matching Model. NAACL-HLT 2021: 5431-5440 - [i1]Hongyin Tang, Xingwu Sun, Beihong Jin, Jingang Wang, Fuzheng Zhang, Wei Wu:
Improving Document Representations by Generating Pseudo Query Embeddings for Dense Retrieval. CoRR abs/2105.03599 (2021) - 2020
- [c4]Xingwu Sun, Hongyin Tang, Fuzheng Zhang, Yanling Cui, Beihong Jin, Zhongyuan Wang:
TABLE: A Task-Adaptive BERT-based ListwisE Ranking Model for Document Retrieval. CIKM 2020: 2233-2236
2010 – 2019
- 2019
- [c3]Kangli Zi, Xingwu Sun, Yanan Cao, Shi Wang, Xiaoming Feng, Zhaobo Ma, Cungen Cao:
Answer-Focused and Position-Aware Neural Network for Transfer Learning in Question Generation. KSEM (2) 2019: 339-352 - [c2]Yanling Cui, Beihong Jin, Fusang Zhang, Xingwu Sun:
A deep spatio-temporal attention-based neural network for passenger flow prediction. MobiQuitous 2019: 20-30 - 2018
- [c1]Xingwu Sun, Jing Liu, Yajuan Lyu, Wei He, Yanjun Ma, Shi Wang:
Answer-focused and Position-aware Neural Question Generation. EMNLP 2018: 3930-3939
Coauthor Index
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last updated on 2024-11-07 20:33 CET by the dblp team
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