| Clustering of conversational bandits for user preference learning and elicitation J Wu, C Zhao, T Yu, J Li, S Li Proceedings of the 30th ACM International Conference on Information …, 2021 | 15 | 2021 |
| Infoprompt: Information-theoretic soft prompt tuning for natural language understanding J Wu, T Yu, R Wang, Z Song, R Zhang, H Zhao, C Lu, S Li, R Henao Advances in Neural Information Processing Systems 36, 2024 | 9 | 2024 |
| Dynamics-aware adaptation for reinforcement learning based cross-domain interactive recommendation J Wu, Z Xie, T Yu, H Zhao, R Zhang, S Li Proceedings of the 45th International ACM SIGIR Conference on Research and …, 2022 | 8 | 2022 |
| Deconfounded and explainable interactive vision-language retrieval of complex scenes J Wu, T Yu, S Li Proceedings of the 29th ACM International Conference on Multimedia, 2103-2111, 2021 | 7 | 2021 |
| 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 | 5 | 2023 |
| Large language models and causal inference in collaboration: A comprehensive survey X Liu, P Xu, J Wu, J Yuan, Y Yang, Y Zhou, F Liu, T Guan, H Wang, T Yu, ... arXiv preprint arXiv:2403.09606, 2024 | 3 | 2024 |
| Sim-to-real interactive recommendation via off-dynamics reinforcement learning J Wu, Z Xie, T Yu, Q Li, S Li 2rd Offline Reinforcement Learning Workshop Advances at NeurIPS, 2021 | 3 | 2021 |
| Clustering of conversational bandits with posterior sampling for user preference learning and elicitation Q Li, C Zhao, T Yu, J Wu, S Li User Modeling and User-Adapted Interaction 33 (5), 1065-1112, 2023 | 2 | 2023 |
| Context-aware Information-theoretic Causal De-biasing for Interactive Sequence Labeling J Wu, R Wang, T Yu, R Zhang, H Zhao, S Li, R Henao, A Nenkova Findings of the Association for Computational Linguistics: EMNLP 2022, 3436-3448, 2022 | 2 | 2022 |
| Interact with the Explanations: Causal Debiased Explainable Recommendation System X Liu, T Yu, K Xie, J Wu, S Li Proceedings of the 17th ACM International Conference on Web Search and Data …, 2024 | 1 | 2024 |
| InstructGraph: Boosting Large Language Models via Graph-centric Instruction Tuning and Preference Alignment J Wang, J Wu, Y Hou, Y Liu, M Gao, J McAuley arXiv preprint arXiv:2402.08785, 2024 | 1 | 2024 |
| Few-shot composition learning for image retrieval with prompt tuning J Wu, R Wang, H Zhao, R Zhang, C Lu, S Li, R Henao Proceedings of the AAAI Conference on Artificial Intelligence 37 (4), 4729-4737, 2023 | 1 | 2023 |
| Spatial-Temporal Aligned Multi-Agent Learning for Visual Dialog Systems Y Zhuang, T Yu, J Wu, S Wu, S Li Proceedings of the 30th ACM International Conference on Multimedia, 482-490, 2022 | 1 | 2022 |
| CoRAL: Collaborative Retrieval-Augmented Large Language Models Improve Long-tail Recommendation J Wu, CC Chang, T Yu, Z He, J Wang, Y Hou, J McAuley arXiv preprint arXiv:2403.06447, 2024 | | 2024 |
| Federated Domain Adaptation for Named Entity Recognition via Distilling with Heterogeneous Tag Sets R Wang, T Yu, J Wu, H Zhao, S Kim, R Zhang, S Mitra, R Henao Findings of the Association for Computational Linguistics: ACL 2023, 7449-7463, 2023 | | 2023 |
| Few-Shot Dialogue Summarization via Skeleton-Assisted Prompt Transfer K Xie, T Yu, H Wang, J Wu, H Zhao, R Zhang, K Mahadik, A Nenkova, ... arXiv preprint arXiv:2305.12077, 2023 | | 2023 |
| User-in-the-Loop Named Entity Recognition by Counterfactual Learning T Yu, J Wu, R Zhang, H Zhao, S Li | | |
