SLM adds a dedicated spatial modality and training dataset to LLMs, enabling geometric spatial reasoning and outperforming prompt-based symbolic methods on the new SpatialEval benchmark.
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GS-Fuse proposes Granger-supervised gated fusion and multi-granularity alignment for event-driven multimodal financial forecasting and reports outperformance over baselines on real datasets.
pykci transforms CityGML 2.0 datasets into a compact, spatially indexed Neo4j knowledge graph supporting LLM text-to-Cypher queries, demonstrated on Hamburg LoD2 data with lossless round-trip to CityGML.
citing papers explorer
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From Symbolic to Geometric: Enabling Spatial Reasoning in Large Language Models
SLM adds a dedicated spatial modality and training dataset to LLMs, enabling geometric spatial reasoning and outperforming prompt-based symbolic methods on the new SpatialEval benchmark.
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GS-FUSE: Granger-Supervised Gated Fusion and Multi-Granularity Alignment for Event-Driven Financial Forecasting
GS-Fuse proposes Granger-supervised gated fusion and multi-granularity alignment for event-driven multimodal financial forecasting and reports outperformance over baselines on real datasets.
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pykci: A Compact Urban Knowledge Graph for Semantic and Spatial Queries using LLMs
pykci transforms CityGML 2.0 datasets into a compact, spatially indexed Neo4j knowledge graph supporting LLM text-to-Cypher queries, demonstrated on Hamburg LoD2 data with lossless round-trip to CityGML.