A survey that restates known hallucination definitions and standard PAC-Bayes bounds, then proposes a generic detection-mitigation workflow, without new results or experiments.
PAC-Bayesian model averaging,
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Theoretical Foundations and Mitigation of Hallucination in Large Language Models
A survey that restates known hallucination definitions and standard PAC-Bayes bounds, then proposes a generic detection-mitigation workflow, without new results or experiments.