XGLUE: A new benchmark dataset for cross-lingual pre-training, understanding and generation Y Liang, N Duan, Y Gong, N Wu, F Guo, W Qi, M Gong, L Shou, D Jiang, ... arXiv preprint arXiv:2004.01401, 2020 | 330 | 2020 |
Empowering A* search algorithms with neural networks for personalized route recommendation J Wang, N Wu, WX Zhao, F Peng, X Lin Proceedings of the 25th ACM SIGKDD international conference on knowledge …, 2019 | 120 | 2019 |
Learning effective road network representation with hierarchical graph neural networks N Wu, XW Zhao, J Wang, D Pan Proceedings of the 26th ACM SIGKDD international conference on knowledge …, 2020 | 115 | 2020 |
Deep trajectory recovery with fine-grained calibration using kalman filter J Wang, N Wu, X Lu, WX Zhao, K Feng IEEE Transactions on Knowledge and Data Engineering 33 (3), 921-934, 2019 | 84 | 2019 |
Large language models are diverse role-players for summarization evaluation N Wu, M Gong, L Shou, S Liang, D Jiang CCF International Conference on Natural Language Processing and Chinese …, 2023 | 54 | 2023 |
Personalized route recommendation with neural network enhanced search algorithm J Wang, N Wu, WX Zhao IEEE Transactions on Knowledge and Data Engineering 34 (12), 5910-5924, 2021 | 39 | 2021 |
Rapt: Pre-training of time-aware transformer for learning robust healthcare representation H Ren, J Wang, WX Zhao, N Wu Proceedings of the 27th ACM SIGKDD conference on knowledge discovery & data …, 2021 | 37 | 2021 |
Learning to effectively estimate the travel time for fastest route recommendation N Wu, J Wang, WX Zhao, Y Jin Proceedings of the 28th ACM International Conference on Information and …, 2019 | 31 | 2019 |
Breaking language barriers in multilingual mathematical reasoning: Insights and observations N Chen, Z Zheng, N Wu, L Shou, M Gong, Y Song, D Zhang, J Li arXiv preprint arXiv:2310.20246, 2023 | 22 | 2023 |
MoCo4SRec: A momentum contrastive learning framework for sequential recommendation Z Wei, N Wu, F Li, K Wang, W Zhang Expert Systems with Applications 223, 119911, 2023 | 15 | 2023 |
Ploutos: Towards interpretable stock movement prediction with financial large language model H Tong, J Li, N Wu, M Gong, D Zhang, Q Zhang arXiv preprint arXiv:2403.00782, 2024 | 11 | 2024 |
HGCC: Enhancing Hyperbolic Graph Convolution Networks on Heterogeneous Collaborative Graph for Recommendation L Zhang, N Wu arXiv preprint arXiv:2304.02961, 2023 | 9 | 2023 |
Empowering dual-encoder with query generator for cross-lingual dense retrieval H Ren, L Shou, N Wu, M Gong, D Jiang arXiv preprint arXiv:2303.14991, 2023 | 9 | 2023 |
Unsupervised context aware sentence representation pretraining for multi-lingual dense retrieval N Wu, Y Liang, H Ren, L Shou, N Duan, M Gong, D Jiang arXiv preprint arXiv:2206.03281, 2022 | 8 | 2022 |
XGLUE: A New Benchmark Dataset for Cross-lingual Pretraining Y Liang, N Duan, Y Gong, N Wu, F Guo, W Qi, M Gong, L Shou, D Jiang, ... Understanding and Generation. arXiv abs/2004.01401, 2020 | 7 | 2020 |
Beyond Surface: Probing LLaMA Across Scales and Layers N Chen, N Wu, S Liang, M Gong, L Shou, D Zhang, J Li arXiv preprint arXiv:2312.04333, 2023 | 5 | 2023 |
Is bigger and deeper always better? probing llama across scales and layers N Chen, N Wu, S Liang, M Gong, L Shou, D Zhang, J Li CoRR, 2023 | 4 | 2023 |
Aligning Large Language Model with Direct Multi-Preference Optimization for Recommendation Z Bai, N Wu, F Cai, X Zhu, Y Xiong Proceedings of the 33rd ACM International Conference on Information and …, 2024 | 2 | 2024 |
Towards Truthful Multilingual Large Language Models: Benchmarking and Alignment Strategies W Liu, N Wu, W Ding, S Liang, M Gong, D Zhang arXiv preprint arXiv:2406.14434, 2024 | 1 | 2024 |
Finetuning Large Language Model for Personalized Ranking Z Bai, N Wu, F Cai, X Zhu, Y Xiong arXiv preprint arXiv:2405.16127, 2024 | 1 | 2024 |