Author

Junbin Lu

University of Washington

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Conference Aug 2026

SpatialAgent: Spatial Question Answering with LLM Agent and Perception Models

Spatial understanding has been a challenging task for existing Multi-modal Large Language Models (MLLMs). Previous methods leverage large-scale MLLM finetuning to enhance MLLM’s spatial understanding ability. In this paper, we present a data-efficient approach. We propose a LLM agent system with strong and advanced spa...

Hsiang-Wei Huang, Junbin Lu, Pyong-Kun Kim et al. · Conference on Multimedia Inf... · 0 citations

Preprint Aug 2026

LeFlow: Generative Latent Flow Planning for World Models

This work presents LeFlow, which learns a reusable latent trajectory prior operating directly in the latent dynamics space from the world model, and argues that latent world models should support not only prediction but reusable planning priors.

Hsiang-Wei Huang, Jian-Xu Shangguan, Junbin Lu et al. · 5 citations