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A multi-objective algorithm provides a trade-off between the two objectives where developers can select their desired merging solution from the Pareto-optimal ...
The goal of our approach is to construct a tentative merged model that minimizes the number of disabled operations and maximizes the number of important enabled ...
We introduce in this paper, for the first time, a multi-objective formulation of the problem of model merging, based on NSGA-II, that aims to find the best ...
A novel search-based automated model merge approach where rule-based design space exploration is used to search the space of solution candidates that ...
MOMM: Multi-objective model merging ... Authors: Usman Mansoor; Marouane Kessentini; Philip Langer; Manuel Wimmer; Slim Bechikh; Kalyanmoy Deb. List of references.
Oct 22, 2024 · We introduce in this paper, for the first time, a multi-objective formulation of the problem of model merging, based on NSGA-II, that aims to ...
Mansoor, U., Kessentini, M., Langer, P., Wimmer, M., Bechikh, S., & Deb, K. (2015). MOMM: Multi-objective model merging. Journal of Systems and Software, 103, ...
We introduce in this paper, for the first time, a multi-objective formulation of the problem of model merging, based on NSGA-II, that aims to find the best ...
Aug 12, 2024 · In this paper, we introduce a novel approach for large language model merging via black-box multi-objective optimization algorithms.
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Feb 10, 2023 · This item was automatically migrated from a legacy system. It's data has not been checked and might not meet the quality criteria of the present ...