首次探索如何利用基础模型推动因果生成建模，为新范式研究提供理论基石。
arXiv:2605.23861v1 Announce Type: cross Abstract: Causal generative modeling is essential for developing reliable and transparent AI systems capable o…
利用表格基础模型TabPFN处理稀疏岩土数据，兼顾可解释性与不确定性量化，为工程建模提供新思路。
arXiv:2603.21033v2 Announce Type: replace-cross Abstract: Geotechnical site characterisation relies on sparse, heterogeneous borehole data, where unce…
首个系统评估基础模型在临床EEG和脑机接口任务中的泛化能力，为领域提供标准化基准
arXiv:2605.14698v1 Announce Type: cross Abstract: Foundation models (FMs) promise to extract unified representations that generalize across downstream…
最新研究揭示：AI检测器会把基础模型输出误判为人类写作
arXiv:2605.19516v1 Announce Type: cross Abstract: As AI-generated text enters the real-world at scale, institutions increasingly use commercial AI-tex…
综述探讨基础模型在个性化联邦智能中的应用，汇总当前方法、挑战与未来方向。
arXiv:2505.06907v2 Announce Type: replace-cross Abstract: The rise of large language models (LLMs), such as ChatGPT, Gemini, and Grok, has reshaped th…
机器人基础模型新突破：通用姿态预训练让视觉-语言-动作策略泛化能力飙升，已被RSS 2026接收。
arXiv:2602.19710v2 Announce Type: replace-cross Abstract: Existing Vision-Language-Action (VLA) models often suffer from feature collapse and low trai…
研究发现多智能体系统在同伴分歧下“屈服”并非RLHF特有，基础模型同样存在该漏洞，挑战了传统对齐认知。
arXiv:2605.12991v2 Announce Type: replace Abstract: LLM-based multi-agent pipelines flip from correct to incorrect answers under simulated peer disagr…
提出FediLoRA方法，在联邦微调中解决模态缺失难题，兼顾通信效率与模型性能。
arXiv:2509.06984v3 Announce Type: replace Abstract: Federated Learning with LoRA fine-tuning offers an efficient and privacy-aware solution for instit…
TabH2O统一了表格数据的分类与回归，单模型单次前向传播，基于上下文学习高效预测。
arXiv:2605.18383v1 Announce Type: new Abstract: We present TabH2O, a foundation model for tabular data that performs classification and regression in …
探讨心电图模型缩放定律：增大模型规模并非总能带来性能提升，挑战自然语言处理经验。
arXiv:2605.17276v1 Announce Type: new Abstract: While scaling laws have established a fundamental framework for foundation models in natural language …
新框架PIQL利用特权信息同时加速表格基础模型训练并提升泛化能力。
arXiv:2605.07799v2 Announce Type: replace-cross Abstract: Training foundation models is computationally intensive and often slow to converge. We intro…
将10秒心电基础模型扩展至更长时间窗口，研究时序模型泛化能力。
arXiv:2605.16975v1 Announce Type: new Abstract: Electrocardiogram (ECG) foundation models pretrained on typical diagnostic 10-second ECG segments, hav…
AI智能体在个性化智能家居环境中的表现如何？全新基准PersonalHomeBench帮你科学评估。
arXiv:2604.16813v3 Announce Type: replace Abstract: Agentic AI systems are rapidly advancing toward real-world applications, yet their readiness in co…
首次系统评估自监督视频模型作为世界模型，揭示潜在视频预测能学习更优的世界模型。
arXiv:2605.15618v1 Announce Type: cross Abstract: Self-supervised video models are increasingly framed as world models, yet their evaluation remains l…
提出首个统一框架，用强化学习后训练攻克分子图生成的可控性难题，解决原子级动作空间和化学无效中间态问题
arXiv:2605.15354v1 Announce Type: new Abstract: Despite the success of foundation models in language and vision, molecular graph generation still lack…
首个统一多模态脑基础模型，横跨fMRI、EEG、MEG，打破单一模态局限。
arXiv:2602.23410v3 Announce Type: replace-cross Abstract: Brain foundation models have achieved remarkable advances across a wide range of neuroscienc…
首个临床EEG到语言的基础模型，让长时程脑电图自动生成临床报告，告别繁琐人工总结。
arXiv:2601.22197v3 Announce Type: replace-cross Abstract: Generating clinical reports that summarize abnormal patterns, diagnostic findings, and clini…
跨物种神经基础模型实现端到端语音解码，直接神经活动转文本，脑机接口新突破。
arXiv:2511.21740v5 Announce Type: replace-cross Abstract: Speech brain-computer interfaces (BCIs) aim to restore communication for people with paralys…
揭秘EEG基础模型如何直接从原始脑电信号自监督学习，挑战传统手工特征范式，为神经科学和AI融合提供新视角。
arXiv:2605.11410v2 Announce Type: replace Abstract: Clinical electroencephalogram (EEG) analysis rests on a hand-crafted feature catalog refined over …
Google I/O开幕在即，但它在基础模型竞赛中已落至第三，编程工具被Anthropic和OpenAI碾压。
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