Can LLM Simulations Truly Reflect Humanity? A Deep Dive
Blogpost Url: https://d2jud02ci9yv69.cloudfront.net/2025-04-28-rethinking-llm-simulation-84/blog/rethinking-llm-simulation/
Abstract: Simulation powered by Large Language Models (LLMs) has become a promising method for exploring complex human social behaviors. However, the application of LLMs in simulations presents significant challenges, particularly regarding their capacity to accurately replicate the complexities of human behaviors and societal dynamics, as evidenced by recent studies highlighting discrepancies between simulated and real-world interactions. This blog rethinks LLM-based simulations by emphasizing both their limitations and the necessities for advancing LLM simulations. By critically examining these challenges, we aim to offer actionable insights and strategies for enhancing the applicability of LLM simulations in human society in the future.
Conflict Of Interest: I have used one of my own papers as an example to illustrate the limitations of LLM simulations. The bibtex of this paper is:
```@inproceedings{li2024cryptotrade,
title={CryptoTrade: A Reflective LLM-based Agent to Guide Zero-shot Cryptocurrency Trading},
author={Li, Yuan and Luo, Bingqiao and Wang, Qian and Chen, Nuo and Liu, Xu and He, Bingsheng},
booktitle={Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing},
pages={1094--1106},
year={2024}
}
```
This citation is included solely to provide a concrete and relevant example for the discussion of LLM simulation limitations. It is not intended to highlight or promote the work itself.
Submission Number: 45
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