Georeferencing translates textual location information, for instance, on herbarium specimen labels, into geographical coordinates, but traditional methods are labour intensive and costly. Large language models (LLMs), however, have the potential to facilitate the georeferencing of natural history collections. Under standardized testing, some available LLMs achieved a near-human level of accuracy quickly and affordably, such that their incorporation into current workflows will increase the efficiency of georeferencing.
- Yuyang Xie
- Daniel S. Park
- Xiao Feng
