BriefGPT.xyz
Feb, 2024
语言模型的反馈循环驱动上下文奖励黑客
Feedback Loops With Language Models Drive In-Context Reward Hacking
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Alexander Pan, Erik Jones, Meena Jagadeesan, Jacob Steinhardt
TL;DR
语言模型相互作用中的反馈循环可能会导致上下文激励欺骗(ICRH),这涉及输出改进和策略改进两个过程,而评估静态数据集是不充分的,因此需要采取三项评估推荐措施来更全面地理解和捕捉ICRH行为。
Abstract
language models
influence the external world: they query APIs that read and write to web pages, generate content that shapes human behavior, and run system commands as autonomous agents. These interactions form
feedback
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