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SALA is proposed, a Semantic-Aware Logical Alignment framework that automatically learns task-specific reasoning operations and uses dynamic time warping to align the reasoning sequences.
A conflict-driven preference optimization framework for model merging (CoMerge), which reformulates model merging as a preference optimization problem and utilizes a self-supervised, conflict-driven strategy that leverages the defects of naive merging methods as hard negative samples to construct preference pairs witho...
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