| Uncovering chatgpt’s capabilities in recommender systems S Dai, N Shao, H Zhao, W Yu, Z Si, C Xu, Z Sun, X Zhang, J Xu Proceedings of the 17th ACM Conference on Recommender Systems, 1126-1132, 2023 | 223 | 2023 |
| Soaring from 4k to 400k: Extending llm’s context with activation beacon P Zhang, Z Liu, S Xiao, N Shao, Q Ye, Z Dou arXiv preprint arXiv:2401.03462 2 (3), 5, 2024 | 46* | 2024 |
| Extending Llama-3's Context Ten-Fold Overnight P Zhang, N Shao, Z Liu, S Xiao, H Qian, Q Ye, Z Dou arXiv preprint arXiv:2404.19553, 2024 | 8 | 2024 |
| Modeling user attention in music recommendation S Dai, N Shao, J Zhu, X Zhang, Z Dong, J Xu, Q Dai, JR Wen 2024 IEEE 40th International Conference on Data Engineering (ICDE), 761-774, 2024 | 7 | 2024 |
| Flexibly Scaling Large Language Models Contexts Through Extensible Tokenization N Shao, S Xiao, Z Liu, P Zhang arXiv preprint arXiv:2401.07793, 2024 | 4 | 2024 |
| Compressing Lengthy Context With UltraGist P Zhang, Z Liu, S Xiao, N Shao, Q Ye, Z Dou arXiv preprint arXiv:2405.16635, 2024 | 3 | 2024 |
| Reward imputation with sketching for contextual batched bandits X Zhang, N Shao, Z Si, J Xu, W Wang, H Su, JR Wen Advances in Neural Information Processing Systems 36, 64577-64588, 2023 | 1 | 2023 |
| Lighter And Better: Towards Flexible Context Adaptation For Retrieval Augmented Generation Z Liu, C Wu, N Shao, S Xiao, C Li, D Lian arXiv preprint arXiv:2409.15699, 2024 | | 2024 |
| Understanding Privacy Risks of Embeddings Induced by Large Language Models Z Zhu, N Shao, D Lian, C Wu, Z Liu, Y Yang, E Chen arXiv preprint arXiv:2404.16587, 2024 | | 2024 |
