Author

Kat Ellis

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Preprint Aug 2026

From Prompting to Behavioral Alignment: Personalized LLM Judges for Recommendation Evaluation

A sequential behavioral alignment framework pairing fine-tuning with preference optimization over paired correct and counterfactual rationales is developed and applied, demonstrating that behavioral alignment mitigates bidirectional rationalization while delivering human-interpretable reasoning traces without manual pipeline overhead.

Alireza S. Ziabari, Kat Ellis, Colleen E. Chan et al. · 0 citations