3 papers
cs.CL2026
A Comparative Study of Demonstration Selection for Practical Large Language Models-based Next POI Prediction
Ryo Nishida, Masayuki Kawarada, Tatsuya Ishigaki +2
This paper investigates demonstration selection strategies for predicting a user's next point-of-interest (POI) using large language models (LLMs), aiming to accurately forecast a…
cs.MA2023
Crowd simulation incorporating a route choice model and similarity evaluation using real large-scale data
Ryo Nishida, Masaki Onishi, Koichi Hashimoto
Modeling and simulation approaches that express crowd movement with mathematical models are widely and actively studied to understand crowd movement and resolve crowd accidents. Ex…
cs.LG2021
Grab the Reins of Crowds: Estimating the Effects of Crowd Movement Guidance Using Causal Inference
Koh Takeuchi, Ryo Nishida, Hisashi Kashima +1
Crowd movement guidance has been a fascinating problem in various fields, such as easing traffic congestion in unusual events and evacuating people from an emergency-affected area.…