arXiv cs.CL
· Papers
UnpredictaBench: A Benchmark for Evaluating Distributional Randomness in LLMs
arXiv:2606.06622v3 Announce Type: replace Abstract: We introduce UnpredictaBench, an evaluation that tests the ability of large language models (LLMs) to capture true underlying distributions. As LLMs are increasingly used as substitutes for other entities (e.g., for humans in economic simulations), the tendency of man