arxiv
PublishedJuly 16, 2026 at 4:00 AM
—neutral
Are we Merging the Right Models? Impact of Expert Training Duration on Model Merging for LLMs
Publisher summary· verbatim
arXiv:2607.11997v2 Announce Type: replace-cross Abstract: Multi-task model merging combines separately trained expert models into a single model that handles all tasks without co-training. Standard practice merges experts at their optimal validation loss. We challenge this convention by systematical
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Originally published on arxiv ↗