Papers by Tetsuhisa Suizu
Automatic Generation of a Compositional QA Benchmark for Geospatial Reasoning under Spatial and Entity Constraints (2026.eacl-srw)
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| Challenge: | Recent advances in large language models have enhanced their ability to perform reasoning tasks that integrate linguistic, visual, and factual information. |
| Approach: | They propose a method for constructing compositional geographic question answering datasets that jointly consider spatial and entity constraints. |
| Outcome: | The proposed method performs well on questions involving rich entity grounding, but its accuracy drops on quantitative spatial reasoning questions. |