A new benchmark called GEOHALUBENCH measures how often LLMs invent, omit, or confuse real-world places and relations, and a dynamic-beta KTO method reduces these errors on the benchmark.
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Mitigating Geospatial Knowledge Hallucination in Large Language Models: Benchmarking and Dynamic Factuality Aligning
A new benchmark called GEOHALUBENCH measures how often LLMs invent, omit, or confuse real-world places and relations, and a dynamic-beta KTO method reduces these errors on the benchmark.