@inproceedings{yang-etal-2026-quantifying,
    title = "Quantifying and Improving the Robustness of Retrieval-Augmented Language Models Against Spurious Features in Grounding Data",
    author = "Yang, Shiping  and
      Wu, Jie  and
      Ding, Wenbiao  and
      Wu, Ning  and
      Liang, Shining  and
      Gong, Ming  and
      Li, Hongzhi  and
      Zhang, Hengyuan  and
      Chang, Angel X  and
      Zhang, Dongmei",
    editor = "Liakata, Maria  and
      Moreira, Viviane P.  and
      Zhang, Jiajun  and
      Jurgens, David",
    booktitle = "Proceedings of the 64th Annual Meeting of the {A}ssociation for {C}omputational {L}inguistics (Volume 1: Long Papers)",
    month = jul,
    year = "2026",
    address = "San Diego, California, United States",
    publisher = "Association for Computational Linguistics",
    url = "https://preview.aclanthology.org/ingest-acl/2026.acl-long.1545/",
    pages = "33479--33499",
    ISBN = "979-8-89176-390-6"
}