Answer-focused and Position-aware Neural Question Generation. - Xingwu Sun; Jing Liu 022; Yajuan Lyu; Wei He 014; Yanjun Ma; Shi Wang (EMNLP, 2018)

Answer-Focused and Position-Aware Neural Network for Transfer Learning in Question Generation. - Kangli Zi; Xingwu Sun; Yanan Cao 001; Shi Wang 002; Xiaoming Feng; Zhaobo Ma; Cungen Cao 001 (KSEM (2), 2019)

A deep spatio-temporal attention-based neural network for passenger flow prediction. - Yanling Cui; Beihong Jin; Fusang Zhang; Xingwu Sun (MobiQuitous, 2019)

TABLE: A Task-Adaptive BERT-based ListwisE Ranking Model for Document Retrieval. - Xingwu Sun; Hongyin Tang; Fuzheng Zhang; Yanling Cui; Beihong Jin; Zhongyuan Wang 006 (CIKM, 2020)

A Bidirectional Multi-paragraph Reading Model for Zero-shot Entity Linking. - Hongyin Tang; Xingwu Sun; Beihong Jin; Fuzheng Zhang (AAAI, 2021)

Improving Document Representations by Generating Pseudo Query Embeddings for Dense Retrieval. - Hongyin Tang; Xingwu Sun; Beihong Jin; Jingang Wang; Fuzheng Zhang; Wei Wu 014 (ACL/IJCNLP (1), 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 (EMNLP (1), 2021)

TITA: A Two-stage Interaction and Topic-Aware Text Matching Model. - Xingwu Sun; Yanling Cui; Hongyin Tang; Qiuyu Zhu; Fuzheng Zhang; Beihong Jin (NAACL-HLT, 2021)

An Anchor-based Relative Position Embedding Method for Cross-Modal Tasks. - Ya Wang; Xingwu Sun; Fengzong Lian; Zhanhui Kang; Chengzhong Xu 001 (EMNLP, 2022)

TencentPretrain: A Scalable and Flexible Toolkit for Pre-training Models of Different Modalities. - Zhe Zhao 006; Yudong Li 001; Cheng Hou; Jing Zhao; Rong Tian; Weijie Liu 002; Yiren Chen; Ningyuan Sun; Haoyan Liu; Weiquan Mao; Han Guo; Weigang Guo; et al. (ACL (demo), 2023)

GradSalMix: Gradient Saliency-Based Mix for Image Data Augmentation. - Tao Hong; Ya Wang; Xingwu Sun; Fengzong Lian; Zhanhui Kang; Jinwen Ma (ICME, 2023)

CMMix: Cross-Modal Mix Augmentation Between Images and Texts for Visual Grounding. - Tao Hong; Ya Wang; Xingwu Sun; Xiaoqing Li; Jinwen Ma (ICONIP (12), 2023)

Inflected Forms Are Redundant in Question Generation Models. - Xingwu Sun; Hongyin Tang; Chengzhong Xu 001 (CoRR, 2023)

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 001 (AAAI, 2024)

DINGO: Towards Diverse and Fine-Grained Instruction-Following Evaluation. - Zihui Gu; Xingwu Sun; Fengzong Lian; Zhanhui Kang; Chengzhong Xu 001; Ju Fan (AAAI, 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 001 (LREC/COLING, 2024)

Style Controlling in Recommendation. - Ruobing Xie; Xin Chen 091; Su Yan 004; Jinghan Chen; Xu Zhang 028; Xingwu Sun; Leyu Lin; Zhanhui Kang (DASFAA (7), 2024)

SeeDRec: Sememe-based Diffusion for Sequential Recommendation. - Haokai Ma; Ruobing Xie; Lei Meng 001; Yimeng Yang; Xingwu Sun; Zhanhui Kang (IJCAI, 2024)

PIP: Detecting Adversarial Examples in Large Vision-Language Models via Attention Patterns of Irrelevant Probe Questions. - Yudong Zhang 008; Ruobing Xie; Jiansheng Chen; Xingwu Sun; Yu Wang 002 (ACM Multimedia, 2024)

Surge Phenomenon in Optimal Learning Rate and Batch Size Scaling. - Shuaipeng Li; Penghao Zhao; Hailin Zhang 004; Xingwu Sun; Hao Wu; Dian Jiao; Weiyan Wang; Chengjun Liu; Zheng Fang; Jinbao Xue; Yangyu Tao; Bin Cui 001; et al. (NeurIPS, 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 (RecSys, 2024)

PhD: A Prompted Visual Hallucination Evaluation Dataset. - Jiazhen Liu; Yuhan Fu; Ruobing Xie; Runquan Xie; Xingwu Sun; Fengzong Lian; Zhanhui Kang; Xirong Li 001 (CoRR, 2024)

Diverse and Fine-Grained Instruction-Following Ability Exploration with Synthetic Data. - Zihui Gu; Xingwu Sun; Fengzong Lian; Zhanhui Kang; Cheng-Zhong Xu 001; Ju Fan (CoRR, 2024)

HMoE: Heterogeneous Mixture of Experts for Language Modeling. - An Wang; Xingwu Sun; Ruobing Xie; Shuaipeng Li; Jiaqi Zhu 004; Zhen Yang; Pinxue Zhao; J. N. Han; Zhanhui Kang; Di Wang; Naoaki Okazaki; Cheng-Zhong Xu 001 (CoRR, 2024)

Negative Sampling in Recommendation: A Survey and Future Directions. - Haokai Ma; Ruobing Xie; Lei Meng 001; Fuli Feng; Xiaoyu Du 002; Xingwu Sun; Zhanhui Kang; Xiangxu Meng (CoRR, 2024)

RosePO: Aligning LLM-based Recommenders with Human Values. - Jiayi Liao; Xiangnan He 001; Ruobing Xie; Jiancan Wu; Yancheng Yuan; Xingwu Sun; Zhanhui Kang; Xiang Wang 010 (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)

Hunyuan-Large: An Open-Source MoE Model with 52 Billion Activated Parameters by Tencent. - Xingwu Sun; Yanfeng Chen; Yiqing Huang; Ruobing Xie; Jiaqi Zhu 004; Kai Zhang 033; Shuaipeng Li; Zhen Yang; Jonny Han; Xiaobo Shu; Jiahao Bu; Zhongzhi Chen; et al. (CoRR, 2024)

More Expressive Attention with Negative Weights. - Ang Lv; Ruobing Xie; Shuaipeng Li; Jiayi Liao; Xingwu Sun; Zhanhui Kang; Di Wang; Rui Yan 001 (CoRR, 2024)

DHCP: Detecting Hallucinations by Cross-modal Attention Pattern in Large Vision-Language Models. - Yudong Zhang 008; Ruobing Xie; Jiansheng Chen; Xingwu Sun; Zhanhui Kang; Yu Wang 002 (CoRR, 2024)

Enhancing Contrastive Learning Inspired by the Philosophy of "The Blind Men and the Elephant". - Yudong Zhang 008; Ruobing Xie; Jiansheng Chen; Xingwu Sun; Zhanhui Kang; Yu Wang 002 (AAAI, 2025)

Mitigating Hallucination in Multimodal Large Language Model via Hallucination-targeted Direct Preference Optimization. - Yuhan Fu; Ruobing Xie; Xingwu Sun; Zhanhui Kang; Xirong Li 001 (ACL (Findings), 2025)

Exploring Forgetting in Large Language Model Pre-Training. - Chonghua Liao; Ruobing Xie; Xingwu Sun; Haowen Sun; Zhanhui Kang (ACL (1), 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 001 (CVPR, 2025)

Continuous Speech Tokenizer in Text To Speech. - Yixing Li; Ruobing Xie; Xingwu Sun; Yu Cheng; Zhanhui Kang (NAACL (Findings), 2025)

Language Models "Grok" to Copy. - Ang Lv; Ruobing Xie; Xingwu Sun; Zhanhui Kang; Rui Yan 001 (NAACL (Short Papers), 2025)

QAVA: Query-Agnostic Visual Attack to Large Vision-Language Models. - Yudong Zhang 008; Ruobing Xie; Jiansheng Chen; Xingwu Sun; Zhanhui Kang; Yu Wang 002 (NAACL (Long Papers), 2025)

Multi-Grained Patch Training for Efficient LLM-based Recommendation. - Jiayi Liao; Ruobing Xie; Sihang Li 002; Xiang Wang 010; Xingwu Sun; Zhanhui Kang; Xiangnan He 001 (SIGIR, 2025)

Scaling Laws for Floating Point Quantization Training. - Xingwu Sun; Shuaipeng Li; Ruobing Xie; Weidong Han 006; Kan Wu; Zhen Yang; Yixing Li; An Wang; Shuai Li; Jinbao Xue; Yu Cheng; Yangyu Tao; et al. (CoRR, 2025)

Autonomy-of-Experts Models. - Ang Lv; Ruobing Xie; Yining Qian; Songhao Wu; Xingwu Sun; Zhanhui Kang; Di Wang; Rui Yan 001 (CoRR, 2025)

PatchRec: Multi-Grained Patching for Efficient LLM-based Sequential Recommendation. - Jiayi Liao; Ruobing Xie; Sihang Li 002; Xiang Wang 010; Xingwu Sun; Zhanhui Kang; Xiangnan He 001 (CoRR, 2025)

TransMamba: Flexibly Switching between Transformer and Mamba. - Yixing Li; Ruobing Xie; Zhen Yang; Xingwu Sun; Shuaipeng Li; Weidong Han 006; Zhanhui Kang; Yu Cheng; Cheng-Zhong Xu 001; Di Wang; Jie Jiang (CoRR, 2025)

Large Language Model Empowered Recommendation Meets All-domain Continual Pre-Training. - Haokai Ma; Yunshan Ma; Ruobing Xie; Lei Meng 001; Jialie Shen 001; Xingwu Sun; Zhanhui Kang; Tat-Seng Chua (CoRR, 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; et al. (CoRR, 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 001 (CoRR, 2025)

The Security Threat of Compressed Projectors in Large Vision-Language Models. - Yudong Zhang 008; Ruobing Xie; Xingwu Sun; Jiansheng Chen; Zhanhui Kang; Di Wang; Yu Wang 002 (CoRR, 2025)

Fighting Fire with Fire (F3): A Training-free and Efficient Visual Adversarial Example Purification Method in LVLMs. - Yudong Zhang 008; Ruobing Xie; Yiqing Huang; Jiansheng Chen; Xingwu Sun; Zhanhui Kang; Di Wang; Yu Wang 002 (CoRR, 2025)