Generative artificial intelligence (GenAI) is rapidly reshaping GIScience, yet the field has grown faster than its foundations have been systematically assessed. This review synthesizes how large language models (LLMs), vision‐language models (VLMs), diffusion models, and other generative approaches are deployed acro...
Jie-Lu Zhang, Xiao Huang, Geng-Chen Mai et al.· Transactions on GIS· 0 citations
The proposed PolyTopoBench evaluates both exterior and interior rings, and benchmarks 11 representative methods, including segmentation-based polygonization pipelines, vision foundation model baselines, and specialized vector polygon generators, on two RS-image datasets covering buildings, roads, vegetation, and unvege...
Ze-Ping Liu, Ni Lao, Wei-Wei Sun et al.· 0 citations
Large language models (LLMs) can learn reusable textual skills from execution feedback without updating their parameters, but effectively deciding how to revise these skills remains a key challenge. Existing methods typically rely on a fixed revision operator, a search strategy and the revision forms applied under it....
An action-conditioned world-modeling framework for Earth-system emulation that reformulates simulator trajectories as supervision for controllable state-transition learning that preserves competitive long-horizon emulation accuracy while enabling controllable structural interventions and coherent responses in coupled e...
Zhi-Hao Wang, Rui-Chen Wang, Ruo-Han Li et al.· 0 citations
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