AINeutralarXiv – CS AI · Mar 117/10
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An Empirical Study and Theoretical Explanation on Task-Level Model-Merging Collapse
Researchers have identified a phenomenon called 'merging collapse' where combining independently fine-tuned large language models leads to catastrophic performance degradation. The study reveals that representational incompatibility between tasks, rather than parameter conflicts, is the primary cause of merging failures.