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Yu-Neng Chuang
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The Science of Detecting LLM-Generated Texts
R Tang, YN Chuang, X Hu
Communications of the ACM 67 (4), 50-59, 2024
1412024
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
192023
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
122020
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
52023
Towards assumption-free bias mitigation
CY Chang, YN Chuang, KH Lai, X Han, X Hu, N Zou
arXiv preprint arXiv:2307.04105, 2023
52023
Skewness ranking optimization for personalized recommendation
CJ Wang, YN Chuang, CM Chen, MF Tsai
Conference on Uncertainty in Artificial Intelligence, 400-409, 2020
52020
DISPEL: Domain Generalization via Domain-Specific Liberating
CY Chang, YN Chuang, G Wang, M Du, N Zou
arXiv preprint arXiv:2307.07181, 2023
42023
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
32024
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
32023
Negative-Aware Collaborative Filtering.
SC Lin, YN Chuang, SF Yang, MF Tsai, CJ Wang
RecSys (Late-Breaking Results), 41-45, 2019
32019
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
22024
Variational grid setting network
YN Chuang, ZY Huang, YL Tsai
2017 International Conference on Asian Language Processing (IALP), 222-226, 2017
22017
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
12024
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
12024
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
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