Drift Adaptation as Supervision Routing Under Heterogeneous Costs
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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.
High-Volume & Cost-Aware Merchant Payment Platform
PyTorch implementation of REACT: longitudinal active feature acquisition with Gumbel-Sigmoid relaxation for cost-aware sequential feature selection with context. ACM BCB 2026.
Always-on meta-router skill that eliminates the top 5 LLM agent time-wastes: wrong routing, shallow outputs, redundant generation, sequential-when-parallel tool calls, and over-provisioned models.
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