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论文精选 65arXiv

Jeva: System One Models from First Principles· Jeva: 系统一模型

System one models enable direct, low-latency decision-making. Yet recent practice of predicting an answer from serialized text does not, by itself, respect the structure of a decision problem. We argue that current designs underemphasize four important structural requirements. (i) null-aware: Models should distinguish answer absence from uncertainty among candidates; (ii) permutation-invariant: Reordering alternatives should not change the decision; (iii) option-scalable: Growing candidate sets should not require redefining the output space; (iv) cacheable: Request-independent computation over recurring alternatives should be reusable across requests. We introduce Jeva, a decision-native architecture that addresses these requirements jointly. A shared encoder independently represents the r

AI 解读论文

引入Jeva模型,满足决策问题的四个结构要求。

核心方法
Jeva是一个决策原生架构,通过null-aware、permutation-invariant、option-scalable和cacheable的特性改进决策模型。
适合谁读
研究者 / 工程师
要解决的问题
现有系统一模型在预测答案时未充分考虑决策问题的结构特点。
关键实验
未提供
主要贡献
提出了一种新的决策模型架构,能够更好地处理答案缺失、候选顺序不变性、候选集扩展性及计算可复用性。
意义与局限
提高了系统一模型在实际应用场景中的决策效率和准确性,但也可能存在特定场景下的适用性限制。
领域:cs.AI作者:Qi Li、Xinchao Wang
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论文精选 65已解读

Simulated Control Evals· 模拟控制评估

Control evaluations measure whether safeguards can prevent an AI model from causing undesi…

领域:cs.AI作者:Jeffrey Olmo、David Zhang、Tyler Tracy
📎 arXiv🕒 10-23 01:26🔗 arxiv.org

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