| 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 | 47 | 2024 |
| 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 | 21 | 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 | 19 | 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 | 17 | 2022 |
| 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 | 16 | 2024 |
| 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 |
| 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 | 9 | 2021 |
| List Items One by One: A New Data Source and Learning Paradigm for Multimodal LLMs A Yan, Z Yang, J Wu, W Zhu, J Yang, L Li, K Lin, J Wang, J McAuley, ... arXiv preprint arXiv:2404.16375, 2024 | 7 | 2024 |
| 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 Proceedings of the 30th ACM SIGKDD Conference on Knowledge Discovery and …, 2024 | 6 | 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 | 5 | 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 | 5 | 2022 |
| 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 | 5 | 2021 |
| 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 | 4 | 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 | 4 | 2023 |
| 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 | 3 | 2024 |
| 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 | 3 | 2023 |
| Commit: Coordinated instruction tuning for multimodal large language models J Wu, X Li, T Yu, Y Wang, X Chen, J Gu, L Yao, J Shang, J McAuley arXiv preprint arXiv:2407.20454, 2024 | 2 | 2024 |
| 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 | 2 | 2024 |
| Neighborhood-Based Collaborative Filtering for Conversational Recommendation Z Xie, J Wu, H Jeon, Z He, H Steck, R Jha, D Liang, N Kallus, J McAuley Proceedings of the 18th ACM Conference on Recommender Systems, 1045-1050, 2024 | 1 | 2024 |
| Decot: Debiasing chain-of-thought for knowledge-intensive tasks in large language models via causal intervention J Wu, T Yu, X Chen, H Wang, R Rossi, S Kim, A Rao, J McAuley Proceedings of the 62nd Annual Meeting of the Association for Computational …, 2024 | 1 | 2024 |
