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Forget parameter conflicts: representational incompatibility is the real culprit behind LLM merging failures, setting fundamental limits on which tasks can be successfully combined.
LiDAR's metric accuracy can be effectively transferred to multi-view stereo depth estimation, yielding state-of-the-art performance in autonomous driving scenarios with improved temporal stability and cross-domain transfer.
