Bayesian Modeling of Experiments is proposed as a unifying framework for quantifying and reducing the many sources of uncertainty in LLM deployments, beyond abstention.
InProceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)
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Extending Epistemic Uncertainty Beyond Parameters Would Assist in Designing Reliable LLMs
Bayesian Modeling of Experiments is proposed as a unifying framework for quantifying and reducing the many sources of uncertainty in LLM deployments, beyond abstention.