@inproceedings{shen-etal-2026-metacaster,
    title = "{M}eta{C}aster: Meta-Harness-Optimized Agent for End-to-End Few-Shot Learning of Lightweight Time Series Forecasters",
    author = "Shen, ChengAo  and
      Yu, Wenchao  and
      Wu, Fangyu  and
      Song, Dongjin  and
      Tong, Hanghang  and
      Luo, Dongsheng  and
      Cheng, Wei  and
      Chen, Haifeng  and
      Ni, Jingchao",
    editor = "Lee, Hung-Yi  and
      Dev, Sunipa  and
      Li, Jessy  and
      Elliott, Desmond",
    booktitle = "Proceedings of the 2026 Conference on Empirical Methods in Natural Language Processing",
    month = oct,
    year = "2026",
    address = "Budapest, Hungary",
    publisher = "Association for Computational Linguistics",
    url = "https://aclanthology.org/2026.emnlp-main.2511/",
    pages = "57066--57093",
    ISBN = "979-8-89176-459-0"
}