Drift Adaptation as Supervision Routing Under Heterogeneous Costs
-
Updated
May 11, 2026 - Python
Drift Adaptation as Supervision Routing Under Heterogeneous Costs
Cost-aware multi-agent LLM framework with quality gates. Simple questions: 1 call. Code tasks: writer+reviewer loop.
PyTorch implementation of REACT: longitudinal active feature acquisition with Gumbel-Sigmoid relaxation for cost-aware sequential feature selection with context. ACM BCB 2026.
Add a description, image, and links to the cost-aware topic page so that developers can more easily learn about it.
To associate your repository with the cost-aware topic, visit your repo's landing page and select "manage topics."