AINeutralarXiv – CS AI · 15h ago6/10
🧠
Multi-Stakeholder LLM Alignment: Decomposing Estimation from Aggregation
Researchers present DecompR, a method to improve how large language models handle tasks with conflicting stakeholder preferences by separating utility estimation from aggregation. Traditional holistic LLM judges create unstable implicit weights that cause significant score variability, especially as stakeholder numbers increase; the proposed approach fixes weights based on query structure before scoring to eliminate candidate-dependent weight drift.