arXiv (OAI Expanded)
open access
ABSOL: Aggregated Bayesian Subsampling Orchestrated with LLMs
Large language models are increasingly used as natural-language interfaces to structured data, yet they remain unreliable when answers require consistent evidence conditioning, dependency-aware reasoning, and uncertainty estimation. Bayesian networks provide an explicit probabilistic reasoning layer
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