Introduces the stochastic-deterministic boundary (SDB) as a load-bearing primitive for LLM agent runtimes and provides a five-step methodology plus catalog of six patterns adapted from distributed systems.
A survey of human-in-the-loop for machine learning.Future Generation Computer Systems, 135:364– 381
2 Pith papers cite this work. Polarity classification is still indexing.
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Pith papers citing it
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2026 2verdicts
UNVERDICTED 2representative citing papers
PecMan is a fairness-aware human-AI cooperative classification framework for medical images that jointly handles subgroup reliability, decision allocation to AI or humans, and collaborative predictions, introducing the FairHAI benchmark and showing better trade-offs than separate approaches.
citing papers explorer
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A Methodology for Selecting and Composing Runtime Architecture Patterns for Production LLM Agents
Introduces the stochastic-deterministic boundary (SDB) as a load-bearing primitive for LLM agent runtimes and provides a five-step methodology plus catalog of six patterns adapted from distributed systems.
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People-Centred Medical Image Analysis via Fairness-Aware Human-AI Cooperation
PecMan is a fairness-aware human-AI cooperative classification framework for medical images that jointly handles subgroup reliability, decision allocation to AI or humans, and collaborative predictions, introducing the FairHAI benchmark and showing better trade-offs than separate approaches.