Author

Raul Astudillo

h-index 11 View on Semantic Scholar

We have 1 of 20 papers

We haven’t gathered this author’s papers yet. Follow them and we’ll fetch their work.

Not the right person? Other researchers publish under this name.

Preprint Aug 2026

Multi-Objective Bayesian Optimization for Model Merging

Results show that multi-objective Bayesian optimization is valuable as a search layer for expressive merge parameterizations in model merging and introduce MOBO-Merge, a merge-operator agnostic framework that uses multi-objective Bayesian optimization to approximate the Pareto front under a limited evaluation budget.

Utkarsh Agarwal, V. Bonagiri, Raul Astudillo et al. · 0 citations