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2020 – today
- 2024
[j2]Ruixiang Tang
, Yu-Neng Chuang, Xia Hu:
The Science of Detecting LLM-Generated Text. Commun. ACM 67(4): 50-59 (2024)- [j1]Yu-Neng Chuang, Ruixiang Tang, Xiaoqian Jiang, Xia Hu:
SPeC: A Soft Prompt-Based Calibration on Performance Variability of Large Language Model in Clinical Notes Summarization. J. Biomed. Informatics 151: 104606 (2024) - [c12]Jiayi Yuan, Hongyi Liu, Shaochen Zhong, Yu-Neng Chuang, Songchen Li, Guanchu Wang, Duy Le, Hongye Jin, Vipin Chaudhary, Zhaozhuo Xu, Zirui Liu, Xia Ben Hu:
KV Cache Compression, But What Must We Give in Return? A Comprehensive Benchmark of Long Context Capable Approaches. EMNLP (Findings) 2024: 4623-4648 - [c11]Guanchu Wang, Yu-Neng Chuang, Ruixiang Tang, Shaochen Zhong, Jiayi Yuan, Hongye Jin, Zirui Liu, Vipin Chaudhary, Shuai Xu, James Caverlee, Xia Ben Hu:
Taylor Unswift: Secured Weight Release for Large Language Models via Taylor Expansion. EMNLP 2024: 6928-6941 - [c10]Guanchu Wang, Yu-Neng Chuang, Fan Yang, Mengnan Du, Chia-Yuan Chang, Shaochen Zhong, Zirui Liu, Zhaozhuo Xu, Kaixiong Zhou, Xuanting Cai, Xia Hu:
TVE: Learning Meta-attribution for Transferable Vision Explainer. ICML 2024 - [c9]Ruixiang Tang, Yu-Neng Chuang, Xuanting Cai, Mengnan Du, Xia Hu:
Secure Your Model: An Effective Key Prompt Protection Mechanism for Large Language Models. NAACL-HLT (Findings) 2024: 4061-4073 - [c8]Yu-Neng Chuang, Tianwei Xing, Chia-Yuan Chang, Zirui Liu, Xun Chen, Xia Ben Hu:
Learning to Compress Prompt in Natural Language Formats. NAACL-HLT 2024: 7756-7767 - [i24]Yu-Neng Chuang, Guanchu Wang, Chia-Yuan Chang, Ruixiang Tang, Fan Yang, Mengnan Du, Xuanting Cai, Xia Hu:
Large Language Models As Faithful Explainers. CoRR abs/2402.04678 (2024) - [i23]Aokun Chen, Qian Li, Yu Huang, Yongqiu Li, Yu-Neng Chuang, Xia Hu, Serena Guo, Yonghui Wu, Yi Guo, Jiang Bian:
Feasibility of Identifying Factors Related to Alzheimer's Disease and Related Dementia in Real-World Data. CoRR abs/2402.15515 (2024) - [i22]Yu-Neng Chuang, Tianwei Xing, Chia-Yuan Chang, Zirui Liu, Xun Chen, Xia Hu:
Learning to Compress Prompt in Natural Language Formats. CoRR abs/2402.18700 (2024) - [i21]Hongyi Liu, Zirui Liu, Ruixiang Tang, Jiayi Yuan, Shaochen Zhong, Yu-Neng Chuang, Li Li, Rui Chen, Xia Hu:
LoRA-as-an-Attack! Piercing LLM Safety Under The Share-and-Play Scenario. CoRR abs/2403.00108 (2024) - [i20]Yuhao Xu, Xinqi Liu, Keyu Duan, Yi Fang, Yu-Neng Chuang, Daochen Zha, Qiaoyu Tan:
GraphFM: A Comprehensive Benchmark for Graph Foundation Model. CoRR abs/2406.08310 (2024) - [i19]Yu-Neng Chuang, Songchen Li, Jiayi Yuan, Guanchu Wang, Kwei-Herng Lai, Leisheng Yu, Sirui Ding, Chia-Yuan Chang, Qiaoyu Tan, Daochen Zha, Xia Hu:
Understanding Different Design Choices in Training Large Time Series Models. CoRR abs/2406.14045 (2024) - [i18]Jiayi Yuan, Hongyi Liu, Shaochen Zhong, Yu-Neng Chuang, Songchen Li, Guanchu Wang, Duy Le, Hongye Jin, Vipin Chaudhary, Zhaozhuo Xu, Zirui Liu, Xia Hu:
KV Cache Compression, But What Must We Give in Return? A Comprehensive Benchmark of Long Context Capable Approaches. CoRR abs/2407.01527 (2024) - [i17]Guanchu Wang, Junhao Ran, Ruixiang Tang, Chia-Yuan Chang, Yu-Neng Chuang, Zirui Liu, Vladimir Braverman, Zhandong Liu, Xia Hu:
Assessing and Enhancing Large Language Models in Rare Disease Question-answering. CoRR abs/2408.08422 (2024) - [i16]Yicheng Wang, Jiayi Yuan, Yu-Neng Chuang, Zhuoer Wang, Yingchi Liu, Mark Cusick, Param Kulkarni, Zhengping Ji, Yasser Ibrahim, Xia Hu:
DHP Benchmark: Are LLMs Good NLG Evaluators? CoRR abs/2408.13704 (2024) - [i15]Guanchu Wang, Yu-Neng Chuang, Ruixiang Tang, Shaochen Zhong, Jiayi Yuan, Hongye Jin, Zirui Liu, Vipin Chaudhary, Shuai Xu, James Caverlee, Xia Hu:
Taylor Unswift: Secured Weight Release for Large Language Models via Taylor Expansion. CoRR abs/2410.05331 (2024) - [i14]Yu-Neng Chuang, Helen Zhou, Prathusha Kameswara Sarma, Parikshit Gopalan, John Boccio, Sara Bolouki, Xia Hu:
Learning to Route with Confidence Tokens. CoRR abs/2410.13284 (2024) - 2023
- [c7]Yu-Neng Chuang, Guanchu Wang, Chia-Yuan Chang, Kwei-Herng Lai, Daochen Zha, Ruixiang Tang, Fan Yang, Alfredo Costilla-Reyes, Kaixiong Zhou, Xiaoqian Jiang, Xia Hu:
DiscoverPath: A Knowledge Refinement and Retrieval System for Interdisciplinarity on Biomedical Research. CIKM 2023: 5021-5025 - [c6]Yu-Neng Chuang, Guanchu Wang, Fan Yang, Quan Zhou, Pushkar Tripathi, Xuanting Cai, Xia Ben Hu:
CoRTX: Contrastive Framework for Real-time Explanation. ICLR 2023 - [i13]Yu-Neng Chuang, Guanchu Wang, Fan Yang, Zirui Liu, Xuanting Cai, Mengnan Du, Xia Ben Hu:
Efficient XAI Techniques: A Taxonomic Survey. CoRR abs/2302.03225 (2023) - [i12]Yu-Neng Chuang, Guanchu Wang, Fan Yang, Quan Zhou, Pushkar Tripathi, Xuanting Cai, Xia Ben Hu:
CoRTX: Contrastive Framework for Real-time Explanation. CoRR abs/2303.02794 (2023) - [i11]Ruixiang Tang, Yu-Neng Chuang, Xia Hu:
The Science of Detecting LLM-Generated Texts. CoRR abs/2303.07205 (2023) - [i10]Yu-Neng Chuang, Ruixiang Tang, Xiaoqian Jiang, Xia Hu:
SPeC: A Soft Prompt-Based Calibration on Mitigating Performance Variability in Clinical Notes Summarization. CoRR abs/2303.13035 (2023) - [i9]Chia-Yuan Chang, Yu-Neng Chuang, Kwei-Herng Lai, Xiaotian Han, Xia Hu, Na Zou:
Towards Assumption-free Bias Mitigation. CoRR abs/2307.04105 (2023) - [i8]Chia-Yuan Chang, Yu-Neng Chuang, Guanchu Wang, Mengnan Du, Zou Na:
DISPEL: Domain Generalization via Domain-Specific Liberating. CoRR abs/2307.07181 (2023) - [i7]Yu-Neng Chuang, Guanchu Wang, Chia-Yuan Chang, Kwei-Herng Lai, Daochen Zha, Ruixiang Tang, Fan Yang, Alfredo Costilla-Reyes, Kaixiong Zhou, Xiaoqian Jiang, Xia Ben Hu:
DiscoverPath: A Knowledge Refinement and Retrieval System for Interdisciplinarity on Biomedical Research. CoRR abs/2309.01808 (2023) - [i6]Chia-Yuan Chang, Yu-Neng Chuang, Zhimeng Jiang, Kwei-Herng Lai, Anxiao Jiang, Na Zou:
CODA: Temporal Domain Generalization via Concept Drift Simulator. CoRR abs/2310.01508 (2023) - [i5]Guanchu Wang, Yu-Neng Chuang, Fan Yang, Mengnan Du, Chia-Yuan Chang, Shaochen Zhong, Zirui Liu, Zhaozhuo Xu, Kaixiong Zhou, Xuanting Cai, Xia Hu:
LETA: Learning Transferable Attribution for Generic Vision Explainer. CoRR abs/2312.15359 (2023) - 2022
- [c5]Guanchu Wang, Yu-Neng Chuang, Mengnan Du, Fan Yang, Quan Zhou, Pushkar Tripathi, Xuanting Cai, Xia Ben Hu:
Accelerating Shapley Explanation via Contributive Cooperator Selection. ICML 2022: 22576-22590 - [i4]Guanchu Wang, Yu-Neng Chuang, Mengnan Du, Fan Yang, Quan Zhou, Pushkar Tripathi, Xuanting Cai, Xia Ben Hu:
Accelerating Shapley Explanation via Contributive Cooperator Selection. CoRR abs/2206.08529 (2022) - [i3]Yu-Neng Chuang, Kwei-Herng Lai, Ruixiang Tang, Mengnan Du, Chia-Yuan Chang, Na Zou, Xia Hu:
Mitigating Relational Bias on Knowledge Graphs. CoRR abs/2211.14489 (2022) - 2020
- [c4]Yu-Neng Chuang, Chih-Ming Chen, Chuan-Ju Wang, Ming-Feng Tsai, Yuan Fang, Ee-Peng Lim:
TPR: Text-aware Preference Ranking for Recommender Systems. CIKM 2020: 215-224 - [c3]Yu-Neng Chuang, Chih-Ming Chen, Chuan-Ju Wang, Ming-Feng Tsai:
Skewness Ranking Optimization for Personalized Recommendation. UAI 2020: 400-409 - [i2]Chuan-Ju Wang, Yu-Neng Chuang, Chih-Ming Chen, Ming-Feng Tsai:
Skewness Ranking Optimization for Personalized Recommendation. CoRR abs/2005.12971 (2020)
2010 – 2019
- 2019
- [c2]Sheng-Chieh Lin, Yu-Neng Chuang, Sheng-Fang Yang, Ming-Feng Tsai, Chuan-Ju Wang:
Negative-Aware Collaborative Filtering. RecSys (Late-Breaking Results) 2019: 41-45 - 2017
- [c1]Yu-Neng Chuang, Zi-Yu Huang, Yen-Lung Tsai:
Variational grid setting network. IALP 2017: 222-226 - [i1]Yu-Neng Chuang, Zi-Yu Huang, Yen-Lung Tsai:
Variational Grid Setting Network. CoRR abs/1710.01255 (2017)
Coauthor Index
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