Flipping Against All Odds: Reducing LLM Coin Flip Bias via Verbalized Rejection Sampling
arXiv:2506.09998v2 Announce Type: replace-cross
Abstract: Large language models (LLMs) can often accurately describe probability distributions using natural language, yet they still struggle to generate faithful samples from them. This mismatch limits…