The Matryoshka Re-Ranker introduces a novel approach allowing runtime customization of model layers and sequence lengths based on available computational resources.

Key Advantages:

• Configurable depth and width enables deployment across varying computational constraints
• Adaptive architecture balances performance needs with available resources
• Security-focused design improves information retrieval for security applications
• Practical implementation makes LLM-based re-ranking viable in resource-constrained environments

Security Impact: This architecture enhances security operations by enabling more efficient and accurate information retrieval systems that can operate effectively even under computational constraints.

Matryoshka Re-Ranker: A Flexible Re-Ranking Architecture With Configurable Depth and Width