Publications

Publications & Preprints.

Google Scholar

2025

2025

  1. Preprint
    MAIN-RAG: Multi-Agent Filtering Retrieval-Augmented Generation
    Chia-Yuan Chang, Zhimeng Jiang, Vineeth Rakesh, and 8 more authors
    arXiv preprint arXiv:2501.00332, 2025
    PDF

2024

2024

  1. ICML 2024
    LLM Maybe LongLM: Self-Extend LLM Context Window Without Tuning
    Hongye Jin, Xiaotian Han, Jingfeng Yang, and 5 more authors
    In The Forty-first International Conference on Machine Learning, 2024
    PDF
  2. ICML 2024
    TVE: Learning Meta-attribution for Transferable Vision Explainer
    Guanchu Wang, Yu-Neng Chuang, Fan Yang, and 4 more authors
    In The Forty-first International Conference on Machine Learning, 2024
    PDF
  3. NAACL 2024
    Learning to Compress Prompt in Natural Language Formats
    Yu-Neng Chuang, Tianwei Xing, Chia-Yuan Chang, and 3 more authors
    In 2024 Annual Conference of the North American Chapter of the Association for Computational Linguistics, 2024
    PDF
  4. 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
  5. Preprint
    Large Language Models As Faithful Explainers
    Yu-Neng Chuang, Guanchu Wang, Chia-Yuan Chang, and 5 more authors
    arXiv preprint arXiv:2310.01508, 2024
    PDF
  6. TKDD
    Mitigating relational bias on knowledge graphs
    Yu-Neng Chuang, Kwei-Herng Lai, Ruixiang Tang, and 4 more authors
    In , 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. Preprint
    GrowLength: Accelerating LLMs Pretraining by Progressively Growing Training Length
    Hongye Jin, Xiaotian Han, Jingfeng Yang, and 3 more authors
    arXiv preprint arXiv:2310.00576, 2023
    PDF
  3. 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
  4. NeurIPS 2023
    Auto-PINN: Understanding and Optimizing Physics-Informed Neural Architecture
    Yicheng Wang, Xiaotian Han, Chia-Yuan Chang, and 3 more authors
    In NeurIPS 2023 AI for Science Workshop, 2023
    PDF
  5. CIKM 2023
    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 32nd ACM International Conference on Information and Knowledge Management , 2023
    PDF
  6. AMIA 2023
    Towards Fair Patient-Trial Matching via Patient-Criterion Level Fairness Constraint
    Chia-Yuan Chang, Jiayi Yuan, Sirui Ding, and 5 more authors
    In American Medical Informatics Association 2023 Annual Symposium, 2023
    PDF
  7. AMIA 2023
    Multi-Task Learning for Post-transplant Cause of Death Analysis: A Case Study on Liver Transplant
    Sirui Ding, Qiaoyu Tan, Chia-Yuan Chang, and 5 more authors
    In American Medical Informatics Association 2023 Annual Symposium, 2023
    PDF

2022

2022

  1. 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. AAAI 2021
    A Multi-step-ahead Markov Conditional Forward Model with Cube Perturbations for Extreme Weather Forecasting
    Chia-Yuan Chang*, Cheng-Wei* Lu*, and Chuan-Ju Wang
    In Proceedings of the AAAI Conference on Artificial Intelligence, 2021
    PDF

2020

2020

  1. TREC 2020
    Query Expansion with Semantic-Based Ellipsis Reduction for Conversational IR.
    Chia-Yuan Chang, Ning Chen, Wei-Ting Chiang, and 5 more authors
    In Text REtrieval Conference, 2020
    PDF

\(*\) equal contribution.