Ebrahim Bagheri

Predicting Scholarly Impact with Temporal Preference Alignment

Impact-DPO integrates temporally informed prompting with direct preference optimization, enabling LLMs to learn comparative influence patterns without explicit graph message passing, and formalizes citation forecasting as pairwise preference learning on temporal text-attributed graphs.