We argue that advancing LLM-based human simulation requires addressing both
LLM’s inherent limitations and simulation framework design challenges. Recent
studies have revealed significant gaps between LLM-based human simulations and
real-world observations, highlighting these dual challenges. To address these
gaps, we present a comprehensive analysis of LLM limitations and our design
issues, proposing targeted solutions for both aspects. Furthermore, we explore
future directions that address both challenges simultaneously, particularly in
data collection, LLM generation, and evaluation. To support further research in
this field, we provide a curated collection of LLM-based human simulation
resources.footnote{https://github.com/Persdre/llm-human-simulation}
