arXivDaily arXiv每日学术速递 周一至周五更新
arXiv周末暂无论文更新,休息一下吧,周末愉快~~
arXiv 2606.15420cs.LGcs.AI
收藏

宪法价值潜力:读取和引导语言模型中的内部优先级边际

Constitutional Value Potentials: reading and steering internal priority margins in language models

NVIDIA Research(英伟达研究院);Rutgers University(罗格斯大学)

Tong Che, Rui Wu

AI总结:

提出宪法价值潜力(CVP)方法,通过从隐藏状态学习标量势来读取模型内部的价值优先级边际,以预测和干预价值冲突,AUROC高达0.95。

摘要:

宪法告诉语言模型应该重视什么,但很少有方法告诉我们它是否真的重视。遵守程度通过输出来判断,而输出证据在价值冲突中最脆弱,此时重要的不是模型提及哪个价值,而是它愿意牺牲哪个价值。我们提供证据表明,这种仲裁可以从结构化边际读出中的激活状态中读取。我们引入宪法价值潜力(CVP)。对于每个价值,我们从隐藏状态学习一个标量势:一种保存该价值的内部压力,其监督不是来自提示,而是来自独立评判者对模型自身响应实际保存了哪个价值的裁决。两个势的符号差就是优先级边际。宪法条款成为边际保持为正的主张,而单个监控分数在边际不为正时发出警报。该监控器预测冲突违规的AUROC高达0.95,优于强隐藏状态探针,并在三个Qwen2.5尺度上泛化到未见过的合成冲突。该信号在答案开始时出现,来自提示尾部和第一个响应令牌。早期读取该信号,可以揭示对抗性优先级攻击是否实际上已将模型推向违规,而不仅仅是提示看起来具有对抗性。相同的方向也支持干预测试:在选定的引导设置下,沿着价值方向移动会按预期方向改变评判的权衡。这些结果表明,一些与宪法相关的优先级可以作为激活空间中的边际访问,而不仅仅是输出行为。

英文摘要:

Safety evaluations test a policy on prompts that omit the incentive information deployment supplies: a commission, a performance score, a dashboard naming which action pays best. We measure what that omission hides. In MoneyWorld, a synthetic workplace environment, we train five instruction-tuned models from three families with RL on non-safety tasks in which a visible payoff signal identifies a rewarded shortcut that sacrifices task quality. We then freeze each policy, present held-out safety conflicts, and change only the displayed signal. Each menu contains one compliant action and three violations. We report three findings, with rates for Qwen2.5-14B-Instruct. (i) Payoff signals control frozen safety choices: unsafe choice is 100% when the signal names an unsafe option and 0% when it is hidden or names the safe one. Hidden- and random-signal training controls stay at or below 0.3%, and the switch reproduces on all five bases. Numerical payouts reproduce it under sampled-action rewards, reaching 98.6% unsafe choice at a $1 advantage. (ii) Payoff identification and unsafe choice separate under a training-menu intervention: training on task-completing actions at the same payouts retains 99.8% identification while reducing unsafe choice to 7.9% at matched update budgets. Payoff-reading competence alone does not explain transfer. (iii) The switch does not reproduce in executed retail customer-service tasks using the same frozen adapters. In MoneyWorld, omitting incentive information conceals unsafe choices that appear when the same policy sees which action pays best.

机构、总结、中文摘要均由AI分析而来,可能存在错误,请以论文正文为准。

↑