Yu-Neng Chuang

59 papers A* 5A 3Journal 38Unranked 13
YearRankTypeTitle / Venue / Authors
2026 J jnl
Context matching is not reasoning when performing generalized clinical evaluation of generative language models.
npj Digit. Medicine
Andrew Wen, Qiuhao Lu, Yu-Neng Chuang, Guanchu Wang, Jiayi Yuan, Jiamu Zhang, Liwei Wang, Sunyang Fu, Kurt Miller, Heling Jia, Stephen Bedrick, William R. Hersh, Kirk E. Roberts, Xia (Ben) Hu, Hongfang Liu
2026 — conf
FaithLM: Towards Faithful Explanations for Large Language Models.
EACL (Volume 1: Long Papers)
Yu-Neng Chuang, Guanchu Wang, Chia-Yuan Chang, Ruixiang Tang, Shaochen Zhong, Fan Yang, Andrew Wen, Mengnan Du, Xuanting Cai, Vladimir Braverman, Xia Hu
2026 J jnl
Privacy-Preserving Representation Learning with Gradient Obfuscation against Attribute Inference for Recommendation.
ACM Trans. Knowl. Discov. Data
Yu-Neng Chuang, Cheng-Te Li
2026 J jnl
The LLM Data Auditor: A Metric-oriented Survey on Quality and Trustworthiness in Evaluating Synthetic Data.
CoRR
Kaituo Zhang, Mingzhi Hu, Hoang Anh Duy Le, Fariha Kabir Torsha, Zhimeng Jiang, Minh Khai Bui, Chia-Yuan Chang, Yu-Neng Chuang, Zhen Xiong, Ying Lin, Guanchu Wang, Na Zou
2025 — conf
A Decoupled Multi-Agent Framework for Complex Text Style Transfer.
EMNLP (Findings)
Lingxi Zhang, Yu-Neng Chuang, Guanchu Wang, Ruixiang Tang, Xuanting Cai, Rajesh Shenoy, Xia Hu
2025 J jnl
AutoL2S: Auto Long-Short Reasoning for Efficient Large Language Models.
CoRR
Feng Luo, Yu-Neng Chuang, Guanchu Wang, Hoang Anh Duy Le, Shaochen Zhong, Hongyi Liu, Jiayi Yuan, Yang Sui, Vladimir Braverman, Vipin Chaudhary, Xia Hu
2025 — conf
CODA: Temporal Domain Generalization via Concept Drift Simulator.
KDD (2)
Chia-Yuan Chang, Yu-Neng Chuang, Zhimeng Jiang, Kwei-Herng Lai, Anxiao Jiang, Na Zou
2025 J jnl
Confident or Seek Stronger: Exploring Uncertainty-Based On-device LLM Routing From Benchmarking to Generalization.
CoRR
Yu-Neng Chuang, Leisheng Yu, Guanchu Wang, Lizhe Zhang, Zirui Liu, Xuanting Cai, Yang Sui, Vladimir Braverman, Xia Ben Hu
2025 — conf
DHP Benchmark: Are LLMs Good NLG Evaluators?
NAACL (Findings)
Yicheng Wang, Jiayi Yuan, Yu-Neng Chuang, Zhuoer Wang, Yingchi Liu, Mark Cusick, Param Kulkarni, Zhengping Ji, Yasser Ibrahim, Xia Hu
2025 J jnl
DTS: Enhancing Large Reasoning Models via Decoding Tree Sketching.
CoRR
Zicheng Xu, Guanchu Wang, Yu-Neng Chuang, Guangyao Zheng, Alexander S. Szalay, Zirui Liu, Vladimir Braverman
2025 J jnl
Fair-RGNN: Mitigating Relational Bias on Knowledge Graphs.
ACM Trans. Knowl. Discov. Data
Yu-Neng Chuang, Kwei-Herng Lai, Ruixiang Tang, Mengnan Du, Chia-Yuan Chang, Na Zou, Xia Hu
2025 J jnl
LTSM-Bundle: A Toolbox and Benchmark on Large Language Models for Time Series Forecasting.
SIGKDD Explor.
Yu-Neng Chuang, Songchen Li, Jiayi Yuan, Guanchu Wang, Kwei-Herng Lai, Songyuan Sui, Leisheng Yu, Sirui Ding, Chia-Yuan Chang, Alfredo Costilla-Reyes, Daochen Zha, Xia Hu
2025 A* conf
Learning to Route LLMs with Confidence Tokens.
ICML
Yu-Neng Chuang, Prathusha Kameswara Sarma, Parikshit Gopalan, John Boccio, Sara Bolouki, Xia Hu, Helen Zhou
2025 — conf
LoRATK: LoRA Once, Backdoor Everywhere in the Share-and-Play Ecosystem.
EMNLP (Findings)
Hongyi Liu, Shaochen Zhong, Xintong Sun, Minghao Tian, Mohsen Hariri, Zirui Liu, Ruixiang Tang, Zhimeng Jiang, Jiayi Yuan, Yu-Neng Chuang, Li Li, Soo-Hyun Choi, Rui Chen, Vipin Chaudhary, Xia Hu
2025 — conf
Quantized Can Still Be Calibrated: A Unified Framework to Calibration in Quantized Large Language Models.
ACL (1)
Mingyu Zhong, Guanchu Wang, Yu-Neng Chuang, Na Zou
2025 — conf
ReasonerRank: Redefining Language Model Evaluation with Ground-Truth-Free Ranking Frameworks.
ACL (Findings)
Jiamu Zhang, Jiayi Yuan, Andrew Wen, Hoang Anh Duy Le, Yu-Neng Chuang, Soo-Hyun Choi, Rui Chen, Xia Hu
2025 — conf
Self-Ensemble: Mitigating Confidence Distortion for Large Language Models.
EMNLP (Findings)
Zicheng Xu, Guanchu Wang, Guangyao Zheng, Yu-Neng Chuang, Alex Szalay, Xia Hu, Vladimir Braverman
2025 J jnl
Self-ensemble: Mitigating Confidence Distortion for Large Language Models.
CoRR
Zicheng Xu, Guanchu Wang, Guangyao Zheng, Yu-Neng Chuang, Alexander S. Szalay, Xia Ben Hu, Vladimir Braverman
2025 J jnl
Stop Overthinking: A Survey on Efficient Reasoning for Large Language Models.
CoRR
Yang Sui, Yu-Neng Chuang, Guanchu Wang, Jiamu Zhang, Tianyi Zhang, Jiayi Yuan, Hongyi Liu, Andrew Wen, Shaochen Zhong, Hanjie Chen, Xia Ben Hu
2025 J jnl
Stop Overthinking: A Survey on Efficient Reasoning for Large Language Models.
Trans. Mach. Learn. Res.
Yang Sui, Yu-Neng Chuang, Guanchu Wang, Jiamu Zhang, Tianyi Zhang, Jiayi Yuan, Hongyi Liu, Andrew Wen, Shaochen Zhong, Na Zou, Hanjie Chen, Xia Hu
2025 J jnl
Training-Free Time Series Classification via In-Context Reasoning with LLM Agents.
CoRR
Songyuan Sui, Zihang Xu, Yu-Neng Chuang, Kwei-Herng Lai, Xia Hu
2024 J jnl
Assessing and Enhancing Large Language Models in Rare Disease Question-answering.
CoRR
Guanchu Wang, Junhao Ran, Ruixiang Tang, Chia-Yuan Chang, Yu-Neng Chuang, Zirui Liu, Vladimir Braverman, Zhandong Liu, Xia Hu
2024 J jnl
DHP Benchmark: Are LLMs Good NLG Evaluators?
CoRR
Yicheng Wang, Jiayi Yuan, Yu-Neng Chuang, Zhuoer Wang, Yingchi Liu, Mark Cusick, Param Kulkarni, Zhengping Ji, Yasser Ibrahim, Xia Hu
2024 J jnl
Feasibility of Identifying Factors Related to Alzheimer's Disease and Related Dementia in Real-World Data.
CoRR
Aokun Chen, Qian Li, Yu Huang, Yongqiu Li, Yu-Neng Chuang, Xia Hu, Serena Guo, Yonghui Wu, Yi Guo, Jiang Bian
2024 J jnl
GraphFM: A Comprehensive Benchmark for Graph Foundation Model.
CoRR
Yuhao Xu, Xinqi Liu, Keyu Duan, Yi Fang, Yu-Neng Chuang, Daochen Zha, Qiaoyu Tan
2024 — conf
KV Cache Compression, But What Must We Give in Return? A Comprehensive Benchmark of Long Context Capable Approaches.
EMNLP (Findings)
Jiayi Yuan, Hongyi Liu, Shaochen (Henry) Zhong, Yu-Neng Chuang, Songchen Li, Guanchu Wang, Duy Le, Hongye Jin, Vipin Chaudhary, Zhaozhuo Xu, Zirui Liu, Xia Ben Hu
2024 J jnl
KV Cache Compression, But What Must We Give in Return? A Comprehensive Benchmark of Long Context Capable Approaches.
CoRR
Jiayi Yuan, Hongyi Liu, Shaochen (Henry) Zhong, Yu-Neng Chuang, Songchen Li, Guanchu Wang, Duy Le, Hongye Jin, Vipin Chaudhary, Zhaozhuo Xu, Zirui Liu, Xia Hu
2024 J jnl
Large Language Models As Faithful Explainers.
CoRR
Yu-Neng Chuang, Guanchu Wang, Chia-Yuan Chang, Ruixiang Tang, Fan Yang, Mengnan Du, Xuanting Cai, Xia Hu
2024 — conf
Learning to Compress Prompt in Natural Language Formats.
NAACL-HLT
Yu-Neng Chuang, Tianwei Xing, Chia-Yuan Chang, Zirui Liu, Xun Chen, Xia Ben Hu
2024 J jnl
Learning to Compress Prompt in Natural Language Formats.
CoRR
Yu-Neng Chuang, Tianwei Xing, Chia-Yuan Chang, Zirui Liu, Xun Chen, Xia Hu
2024 J jnl
Learning to Route with Confidence Tokens.
CoRR
Yu-Neng Chuang, Helen Zhou, Prathusha Kameswara Sarma, Parikshit Gopalan, John Boccio, Sara Bolouki, Xia Hu
2024 J jnl
LoRATK: LoRA Once, Backdoor Everywhere in the Share-and-Play Ecosystem.
CoRR
Hongyi Liu, Shaochen (Henry) Zhong, Xintong Sun, Minghao Tian, Mohsen Hariri, Zirui Liu, Ruixiang Tang, Zhimeng Jiang, Jiayi Yuan, Yu-Neng Chuang, Li Li, Soo-Hyun Choi, Rui Chen, Vipin Chaudhary, Xia Hu
2024 J jnl
SPeC: A Soft Prompt-Based Calibration on Performance Variability of Large Language Model in Clinical Notes Summarization.
J. Biomed. Informatics
Yu-Neng Chuang, Ruixiang Tang, Xiaoqian Jiang, Xia Hu
2024 — conf
Secure Your Model: An Effective Key Prompt Protection Mechanism for Large Language Models.
NAACL-HLT (Findings)
Ruixiang Tang, Yu-Neng Chuang, Xuanting Cai, Mengnan Du, Xia Hu
2024 A* conf
TVE: Learning Meta-attribution for Transferable Vision Explainer.
ICML
Guanchu Wang, Yu-Neng Chuang, Fan Yang, Mengnan Du, Chia-Yuan Chang, Shaochen Zhong, Zirui Liu, Zhaozhuo Xu, Kaixiong Zhou, Xuanting Cai, Xia Hu
2024 A* conf
Taylor Unswift: Secured Weight Release for Large Language Models via Taylor Expansion.
EMNLP
Guanchu Wang, Yu-Neng Chuang, Ruixiang Tang, Shaochen Zhong, Jiayi Yuan, Hongye Jin, Zirui Liu, Vipin Chaudhary, Shuai Xu, James Caverlee, Xia Ben Hu
2024 J jnl
Taylor Unswift: Secured Weight Release for Large Language Models via Taylor Expansion.
CoRR
Guanchu Wang, Yu-Neng Chuang, Ruixiang Tang, Shaochen Zhong, Jiayi Yuan, Hongye Jin, Zirui Liu, Vipin Chaudhary, Shuai Xu, James Caverlee, Xia Hu
2024 J jnl
The Science of Detecting LLM-Generated Text.
Commun. ACM
Ruixiang Tang, Yu-Neng Chuang, Xia Hu
2024 J jnl
Understanding Different Design Choices in Training Large Time Series Models.
CoRR
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
2023 J jnl
CODA: Temporal Domain Generalization via Concept Drift Simulator.
CoRR
Chia-Yuan Chang, Yu-Neng Chuang, Zhimeng Jiang, Kwei-Herng Lai, Anxiao Jiang, Na Zou
2023 A* conf
CoRTX: Contrastive Framework for Real-time Explanation.
ICLR
Yu-Neng Chuang, Guanchu Wang, Fan Yang, Quan Zhou, Pushkar Tripathi, Xuanting Cai, Xia Ben Hu
2023 J jnl
CoRTX: Contrastive Framework for Real-time Explanation.
CoRR
Yu-Neng Chuang, Guanchu Wang, Fan Yang, Quan Zhou, Pushkar Tripathi, Xuanting Cai, Xia Ben Hu
2023 J jnl
DISPEL: Domain Generalization via Domain-Specific Liberating.
CoRR
Chia-Yuan Chang, Yu-Neng Chuang, Guanchu Wang, Mengnan Du, Zou Na
2023 A conf
DiscoverPath: A Knowledge Refinement and Retrieval System for Interdisciplinarity on Biomedical Research.
CIKM
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
2023 J jnl
DiscoverPath: A Knowledge Refinement and Retrieval System for Interdisciplinarity on Biomedical Research.
CoRR
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
2023 J jnl
Efficient XAI Techniques: A Taxonomic Survey.
CoRR
Yu-Neng Chuang, Guanchu Wang, Fan Yang, Zirui Liu, Xuanting Cai, Mengnan Du, Xia Ben Hu
2023 J jnl
LETA: Learning Transferable Attribution for Generic Vision Explainer.
CoRR
Guanchu Wang, Yu-Neng Chuang, Fan Yang, Mengnan Du, Chia-Yuan Chang, Shaochen Zhong, Zirui Liu, Zhaozhuo Xu, Kaixiong Zhou, Xuanting Cai, Xia Hu
2023 J jnl
SPeC: A Soft Prompt-Based Calibration on Mitigating Performance Variability in Clinical Notes Summarization.
CoRR
Yu-Neng Chuang, Ruixiang Tang, Xiaoqian Jiang, Xia Hu
2023 J jnl
The Science of Detecting LLM-Generated Texts.
CoRR
Ruixiang Tang, Yu-Neng Chuang, Xia Hu
2023 J jnl
Towards Assumption-free Bias Mitigation.
CoRR
Chia-Yuan Chang, Yu-Neng Chuang, Kwei-Herng Lai, Xiaotian Han, Xia Hu, Na Zou
2022 A* conf
Accelerating Shapley Explanation via Contributive Cooperator Selection.
ICML
Guanchu Wang, Yu-Neng Chuang, Mengnan Du, Fan Yang, Quan Zhou, Pushkar Tripathi, Xuanting Cai, Xia Ben Hu
2022 J jnl
Accelerating Shapley Explanation via Contributive Cooperator Selection.
CoRR
Guanchu Wang, Yu-Neng Chuang, Mengnan Du, Fan Yang, Quan Zhou, Pushkar Tripathi, Xuanting Cai, Xia Ben Hu
2022 J jnl
Mitigating Relational Bias on Knowledge Graphs.
CoRR
Yu-Neng Chuang, Kwei-Herng Lai, Ruixiang Tang, Mengnan Du, Chia-Yuan Chang, Na Zou, Xia Hu
2020 A conf
Skewness Ranking Optimization for Personalized Recommendation.
UAI
Yu-Neng Chuang, Chih-Ming Chen, Chuan-Ju Wang, Ming-Feng Tsai
2020 J jnl
Skewness Ranking Optimization for Personalized Recommendation.
CoRR
Chuan-Ju Wang, Yu-Neng Chuang, Chih-Ming Chen, Ming-Feng Tsai
2020 A conf
TPR: Text-aware Preference Ranking for Recommender Systems.
CIKM
Yu-Neng Chuang, Chih-Ming Chen, Chuan-Ju Wang, Ming-Feng Tsai, Yuan Fang, Ee-Peng Lim
2019 — conf
Negative-Aware Collaborative Filtering.
RecSys (Late-Breaking Results)
Sheng-Chieh Lin, Yu-Neng Chuang, Sheng-Fang Yang, Ming-Feng Tsai, Chuan-Ju Wang
2017 J jnl
Variational Grid Setting Network.
CoRR
Yu-Neng Chuang, Zi-Yu Huang, Yen-Lung Tsai
2017 — conf
Variational grid setting network.
IALP
Yu-Neng Chuang, Zi-Yu Huang, Yen-Lung Tsai