arXiv cs.CL
· Papers
CustomerSim: Benchmarking and Aligning Multimodal Language Models as Retail User Simulators
arXiv:2605.08334v2 Announce Type: replace Abstract: We present CustomerSim, an environment and benchmark to evaluate the extent to which Multimodal Large Language Models (MLLMs) can simulate realistic, persona-driven customer behavior in chat-based retail environments. While prior work treats user simulation as surface