arXiv 论文速递

2026-09-12cs.AI + cs.LG 最新提交 | DeepSeek 点评:这篇为什么重要

反事实遗憾最小化长期是少数CPU快于GPU的数值负载,该工作通过编译为静态数据流并用CUDA图重放实现80倍加速,对大规模博弈求解意义重大。

Counterfactual regret minimization (CFR) is one of the few large numerical workloads that still runs faster on CPUs than on GPUs. Each iteration sweeps a game tree with up to billi…

分布偏移下的泛化是机器学习核心难题,但既有学习界理论局限于狭窄设定。该工作提出协变量与概念偏移的一般量化框架,拓展了理论边界。

Generalization under distribution shift remains a core challenge in modern machine learning, yet existing learning bound theory is limited to narrow, idealized settings and is non-…

人类文本耗尽使重复训练数据成为常态,该研究揭示稀疏专家混合模型对重复数据过拟合更严重,为数据受限下的模型选择提供关键指导。

As the supply of human-written text is exhausted, it has become standard practice to repeat language model training data. Prior work has studied data repetition for densely activat…

Camera traps often run in the field on edge hardware with limited or no connectivity, making small, locally-deployable vision-language models (VLMs) -- not frontier-scale ones -- t…

Generative artificial intelligence changes how firms reach customers, but standard marketing data do not record how often users see and notice a firm's name in generated answers. W…

Agentic AI is moving from bounded task execution toward systems that retain consequential state, continue operating and adapt across task boundaries. That shift creates a control p…

Artificial Intelligence does more than create a governance problem. It can also reveal where institutions have already failed to provide responsiveness, belonging, care, and accoun…

Automatic Music Transcription (AMT) for guitar remains limited by three challenges: existing systems often fail to capture expressive techniques such as slides, bends, and percussi…

空间推理不仅依赖度量属性,还依赖拓扑关系。该工作检验基础模型能否在拓扑空间推理,填补了空间智能评测中常被忽视的维度。

Spatial reasoning depends not only on metric properties such as distance, angle, and shape, but also on topological relations that remain invariant under continuous deformation. Co…

因果发现是科学推理与干预决策的基础,基础模型时代亟需新评测标准。该工作构建基准,系统评估大模型在因果发现上的能力与局限。

Causal discovery aims to uncover causal structures from data and is fundamental to scientific reasoning and intervention-based decision making. Its evaluation relies heavily on str…

Solving novel view synthesis (NVS) for millimeter-wave (mmWave) radar requires a renderer that is physically faithful, complex-valued, and multi-viewpoint-tractable. No prior metho…

Zero-cost proxies rank architectures cheaply, but their reliability varies across search spaces. We introduce CoRA-NAS (COarse Ranking + Anchor-residual), a two-stage framework com…

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