| The Closeness of In-Context Learning and Weight Shifting for Softmax Regression S Li, Z Song, Y Xia, T Yu, T Zhou arXiv preprint arXiv:2304.13276, 2023 | 28 | 2023 |
| User-Regulation Deconfounded Conversational Recommender System with Bandit Feedback Y Xia, J Wu, T Yu, S Kim, RA Rossi, S Li Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and …, 2023 | 9 | 2023 |
| Beyond Chain-of-Thought: A Survey of Chain-of-X Paradigms for LLMs Y Xia, R Wang, X Liu, M Li, T Yu, X Chen, J McAuley, S Li arXiv preprint arXiv:2404.15676, 2024 | 2 | 2024 |
| Which LLM to Play? Convergence-Aware Online Model Selection with Time-Increasing Bandits Y Xia, F Kong, T Yu, L Guo, RA Rossi, S Kim, S Li Proceedings of the ACM on Web Conference 2024, 4059-4070, 2024 | 2 | 2024 |
| Aligning as Debiasing: Causality-Aware Alignment via Reinforcement Learning with Interventional Feedback Y Xia, T Yu, Z He, H Zhao, J McAuley, S Li Proceedings of the 2024 Conference of the North American Chapter of the …, 2024 | 1 | 2024 |
| Federated Large Language Models: Current Progress and Future Directions Y Yao, J Zhang, J Wu, C Huang, Y Xia, T Yu, R Zhang, S Kim, R Rossi, ... arXiv preprint arXiv:2409.15723, 2024 | | 2024 |
| Visual Prompting in Multimodal Large Language Models: A Survey J Wu, Z Zhang, Y Xia, X Li, Z Xia, A Chang, T Yu, S Kim, RA Rossi, ... arXiv preprint arXiv:2409.15310, 2024 | | 2024 |
| Hallucination Diversity-Aware Active Learning for Text Summarization Y Xia, X Liu, T Yu, S Kim, RA Rossi, A Rao, T Mai, S Li Proceedings of the 2024 Conference of the North American Chapter of the …, 2024 | | 2024 |
| Toward Joint Utilization of Absolute and Relative Bandit Feedback for Conversational Recommendation Y Xia, Z Xie, T Yu, C Zhao, S Li User Modeling and User-Adapted Interaction, 1-38, 2024 | | 2024 |
