[R]Large language models may not be able to sample behavioral probability distributions

Through our experiments, we found that LLM agents have a certain ability to understand probability distributions, the LLM agent's sampling ability for probability distributions is lacking and it is difficult to give a behavior sequence that conforms to a certain probability distribution through LLMs alone.

We are looking forward to your thoughts, critiques, and discussions on this topic. Full Paper & Citation: You can access the full paper [https://arxiv.org/abs/2404.09043](https://arxiv.org/abs/2404.09043). Please cite our work if it contributes to your research.

https://preview.redd.it/ai7uks7nluwc1.png?width=935&format=png&auto=webp&s=891dd57ef50d1ee99b1a8b2372b9a460397754d6

agent agents behavior distribution found language language models large language large language models llm llms machinelearning probability sample sampling through