把抽象推理变成互动游戏，用程序化世界模型攻克ARC-AGI-3，效率与智能并重。
arXiv:2607.28287v1 Announce Type: cross Abstract: ARC-AGI-3 turns abstraction into an interactive problem of skill acquisition. A player must infer an…
低成本智能体在ARC-AGI基准上实现惊人推理性能，兼顾效率与泛化。
arXiv:2607.06764v1 Announce Type: new Abstract: Recent progress on ARC-AGI-1 from disclosed architectures has come broadly from two regimes: heavy tes…
提出语言引导抽象方法，攻克抽象推理基准ARC，让AI视觉推理更接近AGI。
arXiv:2606.12847v1 Announce Type: new Abstract: The Abstraction and Reasoning Corpus (ARC) is viewed as a critical avenue to Artificial General Intell…
研究如何让AI处理复杂视觉查询中的符号与抽象推理，推动多模态大模型认知能力边界
arXiv:2606.09195v1 Announce Type: new Abstract: Understanding and reasoning over abstract visual content remains a challenge for current multi-modal l…
用网格结构描述符预测符号求解器在ARC-AGI任务中的成功率，为抽象推理任务提供新视角
arXiv:2606.09026v1 Announce Type: new Abstract: We ask whether structural properties of intermediate grid states predict whether a symbolic ARC-AGI so…
新基准GIM通过整合多个认知领域评估大模型，避免死记硬背与脱离现实的推理。
arXiv:2605.18663v1 Announce Type: cross Abstract: As LLM benchmarks saturate, the evaluation community has pursued two strategies to increase difficul…