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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
1442024
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
29*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
28*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
202023
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
20*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
132020
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
8*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
62023
Skewness ranking optimization for personalized recommendation
CJ Wang, YN Chuang, CM Chen, MF Tsai
Conference on Uncertainty in Artificial Intelligence, 400-409, 2020
62020
Towards assumption-free bias mitigation
CY Chang, YN Chuang, KH Lai, X Han, X Hu, N Zou
arXiv preprint arXiv:2307.04105, 2023
52023
DISPEL: Domain Generalization via Domain-Specific Liberating
CY Chang, YN Chuang, G Wang, M Du, N Zou
arXiv preprint arXiv:2307.07181, 2023
42023
Negative-Aware Collaborative Filtering.
SC Lin, YN Chuang, SF Yang, MF Tsai, CJ Wang
RecSys (Late-Breaking Results), 41-45, 2019
42019
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
Variational grid setting network
YN Chuang, ZY Huang, YL Tsai
2017 International Conference on Asian Language Processing (IALP), 222-226, 2017
32017
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
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
Assessing and Enhancing Large Language Models in Rare Disease Question-answering
G Wang, J Ran, R Tang, CY Chang, YN Chuang, Z Liu, V Braverman, ...
arXiv preprint arXiv:2408.08422, 2024
2024
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