| The Science of Detecting LLM-Generated Texts R Tang, YN Chuang, X Hu Communications of the ACM 67 (4), 50-59, 2024 | 141 | 2024 |
| Efficient xai techniques: A taxonomic survey YN Chuang, G Wang, F Yang, Z Liu, CY Chang, X Cai, M Du, X Hu arXiv preprint arXiv:2302.03225, 2023 | 28* | 2023 |
| SPeC: A soft prompt-based calibration on performance variability of large language model in clinical notes summarization YN Chuang, R Tang, X Jiang, X Hu Journal of Biomedical Informatics, 104606, 2024 | 26* | 2024 |
| CoRTX: Contrastive framework for real-time explanation YN Chuang, G Wang, F Yang, Q Zhou, P Tripathi, X Cai, X Hu International Conference on Learning Representations, 2023 | 19 | 2023 |
| Accelerating shapley explanation via contributive cooperator selection G Wang, YN Chuang, M Du, F Yang, Q Zhou, P Tripathi, X Cai, X Hu International Conference on Machine Learning, 22576-22590, 2022 | 19* | 2022 |
| TPR: Text-aware preference ranking for recommender systems YN Chuang, CM Chen, CJ Wang, MF Tsai, Y Fang, EP Lim Proceedings of the 29th ACM International Conference on Information …, 2020 | 12 | 2020 |
| Fair-RGNN: Mitigating Relational Bias on Knowledge Graphs YN Chuang, KH Lai, R Tang, M Du, CY Chang, N Zou, X Hu ACM Transactions on Knowledge Discovery from Data, 2024 | 7* | 2024 |
| DiscoverPath: A knowledge refinement and retrieval system for interdisciplinarity on biomedical research YN Chuang, G Wang, CY Chang, KH Lai, D Zha, R Tang, F Yang, ... Proceedings of the 32nd ACM International Conference on Information and …, 2023 | 5 | 2023 |
| Towards assumption-free bias mitigation CY Chang, YN Chuang, KH Lai, X Han, X Hu, N Zou arXiv preprint arXiv:2307.04105, 2023 | 5 | 2023 |
| Skewness ranking optimization for personalized recommendation CJ Wang, YN Chuang, CM Chen, MF Tsai Conference on Uncertainty in Artificial Intelligence, 400-409, 2020 | 5 | 2020 |
| DISPEL: Domain Generalization via Domain-Specific Liberating CY Chang, YN Chuang, G Wang, M Du, N Zou arXiv preprint arXiv:2307.07181, 2023 | 4 | 2023 |
| Learning to compress prompt in natural language formats YN Chuang, T Xing, CY Chang, Z Liu, X Chen, X Hu arXiv preprint arXiv:2402.18700, 2024 | 3 | 2024 |
| Coda: Temporal domain generalization via concept drift simulator CY Chang, YN Chuang, Z Jiang, KH Lai, A Jiang, N Zou arXiv preprint arXiv:2310.01508, 2023 | 3 | 2023 |
| Negative-Aware Collaborative Filtering. SC Lin, YN Chuang, SF Yang, MF Tsai, CJ Wang RecSys (Late-Breaking Results), 41-45, 2019 | 3 | 2019 |
| Large language models as faithful explainers YN Chuang, G Wang, CY Chang, R Tang, F Yang, M Du, X Cai, X Hu arXiv preprint arXiv:2402.04678, 2024 | 2 | 2024 |
| Variational grid setting network YN Chuang, ZY Huang, YL Tsai 2017 International Conference on Asian Language Processing (IALP), 222-226, 2017 | 2 | 2017 |
| KV Cache Compression, But What Must We Give in Return? A Comprehensive Benchmark of Long Context Capable Approaches J Yuan, H Liu, YN Chuang, S Li, G Wang, D Le, H Jin, V Chaudhary, Z Xu, ... arXiv preprint arXiv:2407.01527, 2024 | 1 | 2024 |
| LoRA-as-an-Attack! Piercing LLM Safety Under The Share-and-Play Scenario H Liu, Z Liu, R Tang, J Yuan, S Zhong, YN Chuang, L Li, R Chen, X Hu arXiv preprint arXiv:2403.00108, 2024 | 1 | 2024 |
| TVE: Learning Meta-attribution for Transferable Vision Explainer G Wang, YN Chuang, F Yang, M Du, CY Chang, S Zhong, Z Liu, Z Xu, ... arXiv preprint arXiv:2312.15359, 2023 | 1* | 2023 |
| Understanding Different Design Choices in Training Large Time Series Models YN Chuang, S Li, J Yuan, G Wang, KH Lai, L Yu, S Ding, CY Chang, ... arXiv preprint arXiv:2406.14045, 2024 | | 2024 |
Xia "Ben" HuAssociate Professor of Computer Science, Rice University在 rice.edu 的电子邮件经过验证
