A bidirectional optimization method using parameterized transformations enables near-zero loss barriers for linear mode connectivity in medium-scale language models and small barriers in billion-parameter transformers.
The butterfly effect: Neu- ral network training trajectories are highly sensitive to initial conditions.arXiv preprint arXiv:2506.13234, 2025
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Scaling Linear Mode Connectivity and Merging to Billion Parameter Pretrained Transformers
A bidirectional optimization method using parameterized transformations enables near-zero loss barriers for linear mode connectivity in medium-scale language models and small barriers in billion-parameter transformers.