CHASE: Channel-Aligned Structure Exploitation for Geometry-Aware Model Engineering

Key points

• In this paper, we propose CHASE (Channel-Aligned Structure Exploitation) to use these structures in practical model design.1
• CORA, COEC, and CORAM apply GSA to parameter-efficient finetuning, structured-pruning compensation, and model merging.1
• CAGA uses GSA to identify multi-head attention heads that can share a KV representation and constructs the shared key and value heads through geometric alignment and low-rank subspace extraction.1
• Experiments on CAGA show that geometric shared-head construction substantially improves MHA-to-GQA conversion, and SAKV and CAPS improve over representative baselines for KV-cache compression and structured pruning.1

Sources (1)

• [1]CHASE: Channel-Aligned Structure Exploitation for Geometry-Aware Model Engineering
  arXiv (AI, ML, NLP, CV, robotics, multi-agent) · Oct 7, 05:33 AM

  Geometric and Spectral Alignment (GSA) characterizes trained networks through spectral concentration, physical-channel alignment, support structure, and changes in singular bases.

  In this paper, we propose CHASE (Channel-Aligned Structure Exploitation) to use these structures in practical model design.

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