Mediator merges fine-tuned LLMs by averaging low-conflict layers and routing high-conflict layers through sparse task-arithmetic experts, with uncertainty-based selection.
This direction reviews some works of the OOD Detection and Generalization, shedding light on deployment of the model merging on the out-of-distribution data
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Mediator: Memory-efficient LLM Merging with Less Parameter Conflicts and Uncertainty Based Routing
Mediator merges fine-tuned LLMs by averaging low-conflict layers and routing high-conflict layers through sparse task-arithmetic experts, with uncertainty-based selection.