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English(EN) Beyond Either-Or Reasoning: Transduction and Induction as Cooperative Problem-Solving Paradigms

新的合作推理模型增强了编程示例

研究人员在编程示例(PBE)中引入了一种新颖的问题解决方法,该方法结合了转导和归纳。与先前将这些推理模式视为互斥或层级依赖的方法不同,这种新的合作模型允许两者以相等的自主性运行。这种方法在名为 TIIPS 的系统中得到实现,在三个 PBE 领域中表现出优于现有基线的性能,生成的程序更准确地反映了地面真实行为。 AI

影响 引入了一个新颖的合作推理框架,可以提高程序合成和少样本学习能力。

排序理由 该集群包含一篇详细介绍人工智能新研究方法的学术论文。[lever_c_demoted from research: ic=1 ai=1.0]

在 arXiv cs.AI 阅读 →

AI 生成摘要 · Google Gemini · 来自 1 个来源。 我们如何撰写摘要 →

新的合作推理模型增强了编程示例

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该集群包含一篇详细介绍人工智能新研究方法的学术论文。[lever_c_demoted from research: ic=1 ai=1.0]
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报道来源 [1]

  1. arXiv cs.AI TIER_1 English(EN) · Janis Zenkner, Tobias Sesterhenn, Christian Bartelt ·

    超越非此即彼推理:转导与归纳作为合作性问题解决范式

    arXiv:2505.14744v3 Announce Type: replace-cross Abstract: Traditionally, in Programming-by-example (PBE) the goal is to synthesize a program from a small set of input-output examples. Lately, PBE has gained traction as a few-shot reasoning benchmark, relaxing the requirement to p…