MoMA routes each query to a specialized agent or to the cost-optimal LLM, using judge-trained performance scores, a Pareto cost frontier, and TOPSIS selection.
Large language models for code: Security hardening and adver- sarial testing
1 Pith paper cite this work. Polarity classification is still indexing.
1
Pith paper citing it
fields
cs.MA 1years
2025 1verdicts
REJECT 1representative citing papers
citing papers explorer
-
Towards Generalized Routing: Model and Agent Orchestration for Adaptive and Efficient Inference
MoMA routes each query to a specialized agent or to the cost-optimal LLM, using judge-trained performance scores, a Pareto cost frontier, and TOPSIS selection.