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Author

Jackson Hassell

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#artificial intelligence Preprint Sep 2026

MAWILE: Multi-Axis Workbench for Inspecting LLM Evaluators

Large language model (LLM) judges provide a flexible and scalable method for evaluating model and agent outputs, but their verdicts can be sensitive to incidental changes in the evaluated response, judge instructions, and scoring rubric. Existing systems examine important subsets of these failure modes, but auditing a...

Jackson Hassell, Farima Fatahi Bayat, Pouya Pezeshkpour et al. · 0 citations
#machine learning Preprint Sep 2026

ABSOL: Aggregated Bayesian Subsampling Orchestrated with LLMs

A hybrid LLM-guided Bayesian network structure-learning framework that uses LLMs as bounded semantic guides, and shows that language-derived semantic knowledge can substantially improve scalable probabilistic structure learning when used as bounded guidance within a statistically grounded reasoning pipeline.

Jackson Hassell, Chen Shen, Estevam Hruschka · 0 citations

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