TurnBack: A Geospatial Route Cognition Benchmark for Large Language Models through Reverse Route

Titel:: TurnBack: A Geospatial Route Cognition Benchmark for Large Language Models through Reverse Route
Dokumenttyp:: Konferenzbeitrag
Autor(en):: Luo, Hongyi; Cheng, Qing; Matos, Daniel; Gadi, Hari Krishna; Zhang, Yanfeng; Liu, Lu; Wang, Yongliang; Zeller, Niclas; Cremers, Daniel; Meng, Liqiu
Seitenangaben Beitrag:: 8721-8740
Kongress- / Buchtitel:: Proceedings of the 2025 Conference on Empirical Methods in Natural Language Processing
Verlag / Institution:: Association for Computational Linguistics
Publikationsdatum:: 01.01.2025
Jahr:: 2025
Volltext / DOI:: doi:10.18653/v1/2025.emnlp-main.440
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