Stochastic sampling is epistemically shallow; the dimensionality gap between temperature variation and model diversity in LLMs
Read the original at arxiv.org→arXiv:2607.20464v1 Announce Type: new Abstract: When a language model gives different answers on repeated runs, does that variation reveal what it does not know? Self-consistency turns the variation into a...
Original headline: "Stochastic Sampling is Epistemically Shallow: The Dimensionality Gap Between Temperature Variation and Model Diversity in LLMs"
Coverage timeline
- Jul 24, 04:00 UTC arXiv cs.AI lead source Stochastic Sampling is Epistemically Shallow: The Dimensionality Gap Between Temperature Variation and Model Diversity in LLMs