A Hybrid Abnormal Advertising Traffic Detection Method. - Kun Wang; Guohai Xu; Chengyu Wang 001; Xiaofeng He (ICBK, 2017)

Improving Clinical Named Entity Recognition with Global Neural Attention. - Guohai Xu; Chengyu Wang 001; Xiaofeng He (APWeb/WAIM (2), 2018)

Medical Question Retrieval Based on Siamese Neural Network and Transfer Learning Method. - Kun Wang; Bite Yang; Guohai Xu; Xiaofeng He (DASFAA Workshops, 2019)

AliMeKG: Domain Knowledge Graph Construction and Application in E-commerce. - Feng-Lin Li; Hehong Chen; Guohai Xu; Tian Qiu; Feng Ji; Ji Zhang 011; Haiqing Chen (CIKM, 2020)

AliMe KG: Domain Knowledge Graph Construction and Application in E-commerce. - Feng-Lin Li; Hehong Chen; Guohai Xu; Tian Qiu; Feng Ji; Ji Zhang 011; Haiqing Chen (CoRR, 2020)

AliMe MKG: A Multi-modal Knowledge Graph for Live-streaming E-commerce. - Guohai Xu; Hehong Chen; Feng-Lin Li; Fu Sun; Yunzhou Shi; Zhixiong Zeng; Wei Zhou; Zhongzhou Zhao; Ji Zhang 011 (CIKM, 2021)

AliMe DA: A Data Augmentation Framework for Question Answering in Cold-start Scenarios. - Guohai Xu; Yan Shao; Chenliang Li; Feng-Lin Li; Bin Bi; Ji Zhang 011; Haiqing Chen (SIGIR, 2021)

mPLUG: Effective and Efficient Vision-Language Learning by Cross-modal Skip-connections. - Chenliang Li; Haiyang Xu 001; Junfeng Tian; Wei Wang 225; Ming Yan 008; Bin Bi; Jiabo Ye; He Chen; Guohai Xu; Zheng Cao 003; Ji Zhang 011; Songfang Huang; et al. (EMNLP, 2022)

DictBERT: Dictionary Description Knowledge Enhanced Language Model Pre-training via Contrastive Learning. - Qianglong Chen; Feng-Lin Li; Guohai Xu; Ming Yan 008; Ji Zhang 011; Yin Zhang 006 (IJCAI, 2022)

X-CLIP: End-to-End Multi-grained Contrastive Learning for Video-Text Retrieval. - Yiwei Ma; Guohai Xu; Xiaoshuai Sun; Ming Yan 008; Ji Zhang 011; Rongrong Ji (ACM Multimedia, 2022)

mPLUG: Effective and Efficient Vision-Language Learning by Cross-modal Skip-connections. - Chenliang Li; Haiyang Xu 001; Junfeng Tian; Wei Wang 225; Ming Yan 008; Bin Bi; Jiabo Ye; Hehong Chen; Guohai Xu; Zheng Cao 003; Ji Zhang 011; Songfang Huang; et al. (CoRR, 2022)

Distinguish Before Answer: Generating Contrastive Explanation as Knowledge for Commonsense Question Answering. - Qianglong Chen; Guohai Xu; Ming Yan 008; Ji Zhang 011; Fei Huang 002; Luo Si; Yin Zhang 006 (ACL (Findings), 2023)

UReader: Universal OCR-free Visually-situated Language Understanding with Multimodal Large Language Model. - Jiabo Ye; Anwen Hu; Haiyang Xu 001; Qinghao Ye; Ming Yan 008; Guohai Xu; Chenliang Li; Junfeng Tian; Qi Qian 001; Ji Zhang 011; Qin Jin; Liang He 001; et al. (EMNLP (Findings), 2023)

HiTeA: Hierarchical Temporal-Aware Video-Language Pre-training. - Qinghao Ye; Guohai Xu; Ming Yan 008; Haiyang Xu 001; Qi Qian 001; Ji Zhang 011; Fei Huang 002 (ICCV, 2023)

mPLUG-2: A Modularized Multi-modal Foundation Model Across Text, Image and Video. - Haiyang Xu 001; Qinghao Ye; Ming Yan 008; Yaya Shi; Jiabo Ye; Yuanhong Xu; Chenliang Li; Bin Bi; Qi Qian 001; Wei Wang 225; Guohai Xu; Ji Zhang 011; et al. (ICML, 2023)

ChatPLUG: Open-Domain Generative Dialogue System with Internet-Augmented Instruction Tuning for Digital Human. - Junfeng Tian; Hehong Chen; Guohai Xu; Ming Yan 008; Xing Gao; Jianhai Zhang; Chenliang Li; Jiayi Liu 004; Wenshen Xu; Haiyang Xu 001; Qi Qian 001; Wei Wang 225; et al. (CoRR, 2023)

mPLUG-Owl: Modularization Empowers Large Language Models with Multimodality. - Qinghao Ye; Haiyang Xu 001; Guohai Xu; Jiabo Ye; Ming Yan 008; Yiyang Zhou; Junyang Wang 001; Anwen Hu; Pengcheng Shi; Yaya Shi; Chenliang Li; Yuanhong Xu; et al. (CoRR, 2023)

AMTSS: An Adaptive Multi-Teacher Single-Student Knowledge Distillation Framework For Multilingual Language Inference. - Qianglong Chen; Feng Ji; Feng-Lin Li; Guohai Xu; Ming Yan 008; Ji Zhang 011; Yin Zhang 006 (CoRR, 2023)

Youku-mPLUG: A 10 Million Large-scale Chinese Video-Language Dataset for Pre-training and Benchmarks. - Haiyang Xu 001; Qinghao Ye; Xuan Wu; Ming Yan 008; Yuan Miao; Jiabo Ye; Guohai Xu; Anwen Hu; Yaya Shi; Guangwei Xu; Chenliang Li; Qi Qian 001; et al. (CoRR, 2023)

mPLUG-DocOwl: Modularized Multimodal Large Language Model for Document Understanding. - Jiabo Ye; Anwen Hu; Haiyang Xu 001; Qinghao Ye; Ming Yan 008; Yuhao Dan; Chenlin Zhao; Guohai Xu; Chenliang Li; Junfeng Tian; Qian Qi 001; Ji Zhang 011; et al. (CoRR, 2023)

CValues: Measuring the Values of Chinese Large Language Models from Safety to Responsibility. - Guohai Xu; Jiayi Liu 004; Ming Yan 008; Haotian Xu; Jinghui Si; Zhuoran Zhou; Peng Yi; Xing Gao; Jitao Sang; Rong Zhang; Ji Zhang 011; Chao Peng; et al. (CoRR, 2023)

Evaluation and Analysis of Hallucination in Large Vision-Language Models. - Junyang Wang 001; Yiyang Zhou; Guohai Xu; Pengcheng Shi; Chenlin Zhao; Haiyang Xu 001; Qinghao Ye; Ming Yan 008; Ji Zhang 011; Jihua Zhu; Jitao Sang; Haoyu Tang (CoRR, 2023)

An LLM-free Multi-dimensional Benchmark for MLLMs Hallucination Evaluation. - Junyang Wang 001; Yuhang Wang; Guohai Xu; Jing Zhang; Yukai Gu; Haitao Jia; Ming Yan 008; Ji Zhang 011; Jitao Sang (CoRR, 2023)

Cheems: A Practical Guidance for Building and Evaluating Chinese Reward Models from Scratch. - Xueru Wen; Jie Lou; Zichao Li; Yaojie Lu 001; XingYu; Yuqiu Ji; Guohai Xu; Hongyu Lin; Ben He; Xianpei Han; Le Sun 001; Debing Zhang (ACL (1), 2025)

Cheems: A Practical Guidance for Building and Evaluating Chinese Reward Models from Scratch. - Xueru Wen; Jie Lou; Zichao Li; Yaojie Lu 001; Xing Yu; Yuqiu Ji; Guohai Xu; Hongyu Lin; Ben He; Xianpei Han; Le Sun 001; Debing Zhang (CoRR, 2025)

MLLM-Selector: Necessity and Diversity-driven High-Value Data Selection for Enhanced Visual Instruction Tuning. - Yiwei Ma; Guohai Xu; Xiaoshuai Sun; Jiayi Ji; Jie Lou; Debing Zhang; Rongrong Ji (CoRR, 2025)

Exploring Implicit Visual Misunderstandings in Multimodal Large Language Models through Attention Analysis. - Pengfei Wang; Guohai Xu; Weinong Wang; Junjie Yang; Jie Lou; Yunhua Xue (CoRR, 2025)

DeepEyes: Incentivizing "Thinking with Images" via Reinforcement Learning. - Ziwei Zheng; Michael Yang; Jack Hong; Chenxiao Zhao; Guohai Xu; Le Yang; Chao Shen; Xing Yu (CoRR, 2025)