Adaptive Compositional Continual Meta-Learning B Wu, J Fang, X Zeng, S Liang, Q Zhang International Conference on Machine Learning, 37358-37378, 2023 | 12 | 2023 |
Graph Sampling-based Meta-Learning for Molecular Property Prediction X Zhuang, Q Zhang, B Wu, K Ding, Y Fang, H Chen arXiv preprint arXiv:2306.16780, 2023 | 10 | 2023 |
Meta-Learning helps personalized product search B Wu, Z Meng, Q Zhang, S Liang Proceedings of the ACM Web Conference 2022, 2277-2287, 2022 | 10 | 2022 |
Instruction Tuning With Loss Over Instructions Z Shi, AX Yang, B Wu, L Aitchison, E Yilmaz, A Lipani arXiv preprint arXiv:2405.14394, 2024 | 9 | 2024 |
Active Finetuning Protein Language Model: A Budget-Friendly Method for Directed Evolution M Qin, K Ding, B Wu, Z Li, H Yang, Z Wang, H Ye, H Yu, H Chen, Q Zhang ECAI 2023, 1914-1921, 2023 | 3 | 2023 |
Entropy-Based Decoding for Retrieval-Augmented Large Language Models Z Qiu, Z Ou, B Wu, J Li, A Liu, I King arXiv preprint arXiv:2406.17519, 2024 | 2 | 2024 |
Preference Distillation for Personalized Generative Recommendation J Ramos, B Wu, A Lipani arXiv preprint arXiv:2407.05033, 2024 | 1 | 2024 |
Understanding the Role of User Profile in the Personalization of Large Language Models B Wu, Z Shi, HA Rahmani, V Ramineni, E Yilmaz arXiv preprint arXiv:2406.17803, 2024 | 1 | 2024 |
Dynamic Bayesian Contrastive Predictive Coding Model for Personalized Product Search B Wu, Z Meng, S Liang ACM Transactions on the Web 17 (4), 1-31, 2023 | 1 | 2023 |