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Chenxiang Zhang

1 accepted papers

2026

How does the optimizer implicitly bias the model merging loss landscape?

ICLR 2026poster

Model merging methods combine models with different capabilities into a single one while maintaining the same inference cost. Two popular approaches are lin- ear interpolation, which linearly interpolates between model weights, and task arithmetic, which combines task vectors obtained by the differe…

Cited by 0SourceScholar