Ning Wu

According to our database, Ning Wu authored at least 22 papers between 2020 and 2025.

Collaborative distances:

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

2025

Quantifying the Robustness of Retrieval-Augmented Language Models Against Spurious Features in Grounding Data.

Shiping Yang, Jie Wu, Wenbiao Ding, Ning Wu, Shining Liang, Ming Gong, Hengyuan Zhang, Dongmei Zhang

CoRR, March, 2025

MuDAF: Long-Context Multi-Document Attention Focusing through Contrastive Learning on Attention Heads.

Weihao Liu, Ning Wu, Shiping Yang, Wenbiao Ding, Shining Liang, Ming Gong, Dongmei Zhang

CoRR, February, 2025

Ploutos: Towards Explainable Stock Movement Prediction with Financial Large Language Model.

Hanshuang Tong, Jun Li, Ning Wu, Ming Gong, Dongmei Zhang, Qi Zhang

Proceedings of the Companion Proceedings of the ACM on Web Conference 2025, 2025

Selected Languages are All You Need for Cross-lingual Truthfulness Transfer.

Weihao Liu, Ning Wu, Wenbiao Ding, Shining Liang, Ming Gong, Dongmei Zhang

Proceedings of the 31st International Conference on Computational Linguistics, 2025

2024

ControlMath: Controllable Data Generation Promotes Math Generalist Models.

Nuo Chen, Ning Wu, Jianhui Chang, Jia Li

CoRR, 2024

Towards Truthful Multilingual Large Language Models: Benchmarking and Alignment Strategies.

Weihao Liu, Ning Wu, Wenbiao Ding, Shining Liang, Ming Gong, Dongmei Zhang

CoRR, 2024

Ploutos: Towards interpretable stock movement prediction with financial large language model.

Hanshuang Tong, Jun Li, Ning Wu, Ming Gong, Dongmei Zhang, Qi Zhang

CoRR, 2024

ControlMath: Controllable Data Generation Promotes Math Generalist Models.

Nuo Chen, Ning Wu, Jianhui Chang, Linjun Shou, Jia Li

Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing, 2024

Breaking Language Barriers in Multilingual Mathematical Reasoning: Insights and Observations.

Nuo Chen, Zinan Zheng, Ning Wu, Ming Gong, Dongmei Zhang, Jia Li

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2024, 2024

HGCH: A Hyperbolic Graph Convolution Network Model for Heterogeneous Collaborative Graph Recommendation.

Lu Zhang, Ning Wu

Proceedings of the 33rd ACM International Conference on Information and Knowledge Management, 2024

Aligning Large Language Model with Direct Multi-Preference Optimization for Recommendation.

Zhuoxi Bai, Ning Wu, Fengyu Cai, Xinyi Zhu, Yun Xiong

Proceedings of the 33rd ACM International Conference on Information and Knowledge Management, 2024

2023

MoCo4SRec: A momentum contrastive learning framework for sequential recommendation.

Zihan Wei, Ning Wu, Fengxia Li, Ke Wang, Wei Zhang

Expert Syst. Appl., August, 2023

Is Bigger and Deeper Always Better? Probing LLaMA Across Scales and Layers.

Nuo Chen, Ning Wu, Shining Liang, Ming Gong, Linjun Shou, Dongmei Zhang, Jia Li

CoRR, 2023

Breaking Language Barriers in Multilingual Mathematical Reasoning: Insights and Observations.

Nuo Chen, Zinan Zheng, Ning Wu, Linjun Shou, Ming Gong, Yangqiu Song, Dongmei Zhang, Jia Li

CoRR, 2023

Large Language Models are Diverse Role-Players for Summarization Evaluation.

Ning Wu, Ming Gong, Linjun Shou, Shining Liang, Daxin Jiang

Proceedings of the Natural Language Processing and Chinese Computing, 2023

NExtGCN: Modeling Node Importance of Graph Convolution Network by Neighbor Excitation for Recommendation.

Jingxue Zhang, Ning Wu, Changchun Yang

Proceedings of the Database and Expert Systems Applications, 2023

RUEL: Retrieval-Augmented User Representation with Edge Browser Logs for Sequential Recommendation.

Ning Wu, Ming Gong, Linjun Shou, Jian Pei, Daxin Jiang

Proceedings of the 32nd ACM International Conference on Information and Knowledge Management, 2023

2022

Unsupervised Context Aware Sentence Representation Pretraining for Multi-lingual Dense Retrieval.

Ning Wu, Yaobo Liang, Houxing Ren, Linjun Shou, Nan Duan, Ming Gong, Daxin Jiang

Proceedings of the Thirty-First International Joint Conference on Artificial Intelligence, 2022

Empowering Dual-Encoder with Query Generator for Cross-Lingual Dense Retrieval.

Houxing Ren, Linjun Shou, Ning Wu, Ming Gong, Daxin Jiang

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

Lexicon-Enhanced Self-Supervised Training for Multilingual Dense Retrieval.

Houxing Ren, Linjun Shou, Jian Pei, Ning Wu, Ming Gong, Daxin Jiang

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2022, 2022

2020

XGLUE: A New Benchmark Dataset for Cross-lingual Pre-training, Understanding and Generation.

Yaobo Liang, Nan Duan, Yeyun Gong, Ning Wu, Fenfei Guo, Weizhen Qi, Ming Gong, Linjun Shou, Daxin Jiang, Guihong Cao, Xiaodong Fan, Bruce Zhang, Rahul Agrawal, Edward Cui, Sining Wei, Taroon Bharti, Ying Qiao, Jiun-Hung Chen, Winnie Wu, Shuguang Liu, Fan Yang, Rangan Majumder, Ming Zhou

CoRR, 2020

XGLUE: A New Benchmark Datasetfor Cross-lingual Pre-training, Understanding and Generation.

Yaobo Liang, Nan Duan, Yeyun Gong, Ning Wu, Fenfei Guo, Weizhen Qi, Ming Gong, Linjun Shou, Daxin Jiang, Guihong Cao, Xiaodong Fan, Ruofei Zhang, Rahul Agrawal, Edward Cui, Sining Wei, Taroon Bharti, Ying Qiao, Jiun-Hung Chen, Winnie Wu, Shuguang Liu, Fan Yang, Daniel Campos, Rangan Majumder, Ming Zhou

Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing, 2020