@inproceedings{jo-2026-compliance,
    title = "A Compliance-Preserving Retrieval System for Aircraft {MRO} Task Search",
    author = "Jo, Byungho",
    editor = {Matusevych, Yevgen  and
      Eryi{\u{g}}it, G{\"u}l{\c{s}}en  and
      Aletras, Nikolaos},
    booktitle = "Proceedings of the 19th Conference of the {E}uropean Chapter of the {A}ssociation for {C}omputational {L}inguistics (Volume 5: Industry Track)",
    month = mar,
    year = "2026",
    address = "Rabat, Morocco",
    publisher = "Association for Computational Linguistics",
    url = "https://preview.aclanthology.org/ingest-eacl/2026.eacl-industry.23/",
    pages = "317--329",
    ISBN = "979-8-89176-384-5",
    abstract = "Aircraft Maintenance Technicians (AMTs) spend up to 30{\%} of work time searching manuals{---}a documented efficiency bottleneck in MRO operations where every procedure must be traceable to certified sources.We present a compliance-preserving retrieval system that adapts LLM reranking and semantic search to aviation MRO environments by operating alongside, rather than replacing, certified legacy viewers.The system constructs revision-robust embeddings from ATA chapter hierarchies and uses vision-language parsing to structure certified content, allowing technicians to preview ranked tasks and access verified procedures in existing viewers.Evaluation on 49k synthetic queries achieves {\ensuremath{>}}90{\%} retrieval accuracy, while bilingual controlled studies with 10 licensed AMTs demonstrate 90.9{\%} top-10 success rate and 95{\%} reduction in lookup time{---}from 6-15 minutes to 18 seconds per task.These gains provide concrete evidence that semantic retrieval can operate within strict regulatory constraints and meaningfully reduce operational workload in real-world multilingual MRO workflows."
}