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Skill Retrieval (SR) aims to identify the most relevant skills from external skill libraries, and becomes increasingly challenging as libraries grow in scale and diversity. Existing methods either rank skills independently or rely on predefined graph propagation and hierarchical routing, making them vulnerable to seman...
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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