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Deok-Jin Lee

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#artificial intelligence Preprint Sep 2026

Energy Vision--Language--Action: A Controlled Multimodal Benchmark for Intent-Conditioned Residential Energy Management

The results show strong asymmetry in modality use: the processed-language pathway is strongly associated with prediction quality, while the current RGB pathway provides no aggregate error advantage, and the results characterize the fixed pilot subset and executed protocol rather than full-benchmark training.

L. S. Saoud, Oualid Doukhi, E. Reihani et al. · 0 citations
Open access 2026

SLM-A*: Compact Language-Guided Autonomous Agentic Planner for Risk-Aware Multi-UAV Path Planning

SLM-A* is designed as a language-native planning agent that can interoperate with multi-agent LLM frameworks as a callable planning sub-module, thus providing an architectural capability not available to conventional planners that operate on numerical graph representations.

Hassan Eesaar, Afaq Ahmed, Deok-Jin Lee · 0 citations

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