AINeutralarXiv – CS AI · 6h ago6/10
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Stabilizing black-box algorithms through task-oriented randomization
Researchers present a task-oriented randomization methodology to stabilize black-box algorithms while accommodating diverse input data structures, with extensions to large language models and top-k ranking problems. The framework provides theoretical stability guarantees and analyzes the fundamental trade-off between stability and exploration, validated through numerical simulations and real-world datasets.