4 citations · 4 across the 3 of their papers we have counts for
4 papers
MobQA: A Benchmark Dataset for Semantic Understanding of Human Mobility Data through Question Answering
Hikaru Asano, Hiroki Ouchi, Akira Kasuga +1
This paper presents MobQA, a benchmark dataset designed to evaluate the semantic understanding capabilities of large language models (LLMs) for human mobility data through natural…
Text2Traj2Text: Learning-by-Synthesis Framework for Contextual Captioning of Human Movement Trajectories
Hikaru Asano, Ryo Yonetani, Taiki Sekii +1
This paper presents Text2Traj2Text, a novel learning-by-synthesis framework for captioning possible contexts behind shopper's trajectory data in retail stores. Our work will impact…
CXSimulator: A User Behavior Simulation using LLM Embeddings for Web-Marketing Campaign Assessment
Akira Kasuga, Ryo Yonetani
This paper presents the Customer Experience (CX) Simulator, a novel framework designed to assess the effects of untested web-marketing campaigns through user behavior simulations.…
TSPDiffuser: Diffusion Models as Learned Samplers for Traveling Salesperson Path Planning Problems
Ryo Yonetani
This paper presents TSPDiffuser, a novel data-driven path planner for traveling salesperson path planning problems (TSPPPs) in environments rich with obstacles. Given a set of dest…