Publications

Publications & Preprints.

Google Scholar

2024

2024

  1. Preprint
    Learning to Route with Confidence Tokens
    Yu-Neng Chuang, Helen Zhou, Prathusha Kameswara Sarma, and 4 more authors
    arXiv preprint arXiv:2410.13284, 2024
    PDF
  2. EMNLP
    Taylor Unswift: Secured Weight Release for Large Language Models via Taylor Expansion
    Guanchu Wang*, Yu-Neng Chuang*, Ruixiang Tang, and 8 more authors
    Empirical Methods in Natural Language Processing, 2024
    PDF
  3. EMNLP Finding
    Kv cache compression, but what must we give in return? a comprehensive benchmark of long context capable approaches
    Jiayi Yuan, Hongyi Liu, Yu-Neng Chuang, and 8 more authors
    Empirical Methods in Natural Language Processing, 2024
    PDF
  4. ICML
    TVE: Learning Meta-attribution for Transferable Vision Explainer
    Guanchu Wang, Yu-Neng Chuang, Fan Yang, and 8 more authors
    International Conference on Machine Learning, 2024
    PDF
  5. Preprint
    FaithLM: Towards Faithful Explanations for Large Language Models
    Yu-Neng Chuang, Guanchu Wang, Chia-Yuan Chang, and 5 more authors
    arXiv preprint arXiv:2402.04678, 2024
    PDF
  6. NAACL
    Learning to Compress Prompt in Natural Language Formats
    Yu-Neng Chuang, Tianwei Xing, Chia-Yuan Chang, and 2 more authors
    Annual Conference of the North American Chapter of the ACL, 2024
    PDF
  7. NAACL Finding
    Secure Your Model: A Simple but Effective Key Prompt Protection Mechanism for Large Language Models
    Yu-Neng Chuang*, Ruixiang Tang*, and Xia Hu
    Annual Conference of the North American Chapter of the ACL, 2024
    PDF
  8. Preprint
    Assessing and enhancing large language models in rare disease question-answering
    Guanchu Wang, Junhao Ran, Ruixiang Tang, and 6 more authors
    arXiv preprint arXiv:2408.08422, 2024
    PDF
  9. Preprint
    Understanding Different Design Choices in Training Large Time Series Models
    Yu-Neng Chuang, Songchen Li, Jiayi Yuan, and 8 more authors
    arXiv preprint arXiv:2406.14045, 2024
    PDF
  10. Preprint
    LoRA-as-an-Attack! Piercing LLM Safety Under The Share-and-Play Scenario
    Hongyi Liu, Zirui Liu, Ruixiang Tang, and 6 more authors
    arXiv preprint arXiv:2403.00108, 2024
    PDF
  11. JBI
    SPeC: A soft prompt-based calibration on performance variability of large language model in clinical notes summarization
    Yu-Neng Chuang, Ruixiang Tang, Xiaoqian Jiang, and 1 more author
    Journal of Biomedical Informatics, 2024
    PDF

2023

2023

  1. Preprint
    CODA: Temporal Domain Generalization via Concept Drift Simulator
    Chia-Yuan Chang, Yu-Neng Chuang, Zhimeng Jiang, and 3 more authors
    arXiv preprint arXiv:2310.01508, 2023
    PDF
  2. CACM
    The Science of Detecting LLM-generated Texts
    Ruixiang Tang, Yu-Neng Chuang, and Xia Hu
    The Communication of ACM, 2023
    PDF
  3. CIKM
    DiscoverPath: A Knowledge Refinement and Retrieval System for Interdisciplinarity on Biomedical Research
    Yu-Neng Chuang, Guanchu Wang, Chia-Yuan Chang, and 8 more authors
    In Proceedings of the 32th ACM International Conference on Information and Knowledge Management, 2023
    (Best Demo Paper Honorable Mention)
    PDF
  4. Preprint
    DISPEL: Domain Generalization via Domain-Specific Liberating
    Chia-Yuan Chang, Yu-Neng Chuang, Guanchu Wang, and 2 more authors
    arXiv preprint arXiv:2307.07181, 2023
    PDF
  5. ICLR
    CoRTX: Contrastive Framework for Real-time Explanation
    Yu-Neng Chuang*, Guanchu Wang*, Fan Yang, and 4 more authors
    In The Eleventh International Conference on Learning Representations, 2023
    (Applied to Meta Ads Transparency)
    Media PDF
  6. Preprint
    Efficient XAI Techniques: A Taxonomic Survey
    Yu-Neng Chuang, Guanchu Wang, Fan Yang, and 4 more authors
    arXiv preprint arXiv:2302.03225, 2023
    PDF

2022

2022

  1. ICML
    Accelerating Shapley Explanation via Contributive Cooperator Selection
    Yu-Neng Chuang*, Guanchu Wang*, Mengnan Du, and 5 more authors
    In International Conference on Machine Learning, 2022
    (Applied to Meta Ads Transparency)
    Media PDF
  2. Preprint
    Towards Assumption-free Bias Mitigation
    Chia-Yuan Chang, Yu-Neng Chuang, Kwei-Herng Lai, and 3 more authors
    arXiv preprint arXiv:2307.04105, 2022
    PDF

2021

2021

  1. Preprint
    Mitigating Relational Bias on Knowledge Graphs
    Yu-Neng Chuang, Kwei-Herng Lai, Ruixiang Tang, and 4 more authors
    arXiv preprint arXiv:2211.14489, 2021
    PDF

2020

2020

  1. UAI
    Skewness Ranking Optimization for Personalized Recommendation
    Yu-Neng Chuang*, Chuan-Ju Wang*, Chih-Ming Chen, and 1 more author
    In Conference on Uncertainty in Artificial Intelligence, 2020
    PDF
  2. CIKM
    TPR: Text-aware Preference Ranking for Recommender Systems
    Yu-Neng Chuang*, Chih-Ming Chen*, Chuan-Ju Wang, and 3 more authors
    In Proceedings of the 29th ACM International Conference on Information & Knowledge Management, 2020
    PDF

2019

2019

  1. RecSys
    Negative-Aware Collaborative Filtering
    Sheng-Chieh Lin, Yu-Neng Chuang, Sheng-Fang Yang, and 2 more authors
    In RecSys (Late-Breaking Results), 2019
    PDF

\(*\) equal contribution.