首个针对MCP跨域资源滥用防护框架登场，为AI协议安全加装“门禁系统”
arXiv:2608.20481v1 Announce Type: cross Abstract: The Model Context Protocol (MCP) is an open source JSON-RPC protocol that standardizes how large lan…
元学习+LoRA让大模型快速适应跨域偏好，个性化调校从此更聪明高效。
arXiv:2608.12389v1 Announce Type: new Abstract: Cross-domain zero- or few-shot personalization aims to generate user-preferred responses in unseen con…
巧用隐喻竟能改变大模型代码风格与算法倾向，探索提示词之外的深层思维控制，工程师别错过。
arXiv:2607.28683v1 Announce Type: cross Abstract: Large language models benefit from elements in natural language, such as metaphors and analogies in …
KDD'26前沿论文：锐度感知模型合并结合显著性恢复，突破LLM跨域顺序推荐性能瓶颈。
arXiv:2607.25366v1 Announce Type: cross Abstract: LLM-based Cross-Domain Sequential Recommendation (CDSR) leverages LLMs to enhance target performance…
少样本医疗影像分割新突破，位置与形状先验助力跨域泛化
arXiv:2606.28799v1 Announce Type: new Abstract: Few-Shot Medical Image Segmentation (FSMIS) offers a powerful solution to data scarcity but struggles …
跨域去雾新方法：像素配准数据 + 合成微调，让实验室模型直接应用于飞机窗户等真实场景。
arXiv:2606.29093v1 Announce Type: new Abstract: A deep defogging pipeline pretrained on controlled laboratory fog and fine-tuned with domain-randomize…
从攻击面到防护框架，系统梳理跨域多智能体LLM系统必须面对的七大安全挑战。
arXiv:2505.23847v4 Announce Type: replace-cross Abstract: Large language models (LLMs) are rapidly evolving into autonomous agents that cooperate acro…
跨域查询业务数据总是卡壳？AI智能层把电商、财务、广告数据统一拉通，让“这个月赚不赚钱”一键可答。
Article URL: https://www.corpusiq.io/blog/what-is-ai-intelligence-layer-business-data Comments URL: https://news.ycombinator.com/item?id=48695444 Poin…
大型推理模型在跨域隐喻理解上存在对齐偏差，揭示隐喻是模型跨域误对齐的关键来源，为提升AI语义鲁棒性提供新视角。
arXiv:2601.03388v3 Announce Type: replace-cross Abstract: Earlier research has shown that metaphors influence human decision-making, raising the quest…
基于LLM的两阶段Transformer框架，攻克工业轴承故障诊断中数据异质、工况变化和标签稀缺的并发难题。
arXiv:2606.24459v1 Announce Type: new Abstract: Bearing fault diagnosis faces critical challenges when dataset heterogeneity, operating condition vari…
强化学习新框架“Connect the Dots”让LLM代理实现跨域泛化与长期自学习，迈向更智能的自主决策。
arXiv:2606.20002v1 Announce Type: cross Abstract: This work presents a general framework for training large language models (LLMs) to "Connect the Dot…
扩散模型生成逼真的合成灾难图像，首个跨域检测基准如何应对伪造危机？
arXiv:2606.18554v1 Announce Type: new Abstract: The rapid advancement of text-to-image diffusion models has enabled the creation of highly photorealis…
跨域复用网页操作技能，用可迁移交互模式拓展智能体能力边界
arXiv:2606.17645v1 Announce Type: new Abstract: Large language model (LLM) web agents are usually deployed as tool callers: each turn, the model reads…
针对跨域计数中密度组成变化导致模型退化问题，提出条件特征对齐方法，避免全局域不变性带来的负面影响
arXiv:2506.17137v3 Announce Type: replace Abstract: Object counting models often degrade under cross-domain deployment because density composition var…
LLM语义注入工业跨域推荐，新方法Atomic Intent Reasoning在KDD 2026提出，破解内容到电商的推荐难题。
arXiv:2606.10357v1 Announce Type: cross Abstract: Cross-domain recommendation is a core problem in content-to-e-commerce platforms. Its objective is t…
多光谱转手机掌纹数据集，突破跨域认证瓶颈。
arXiv:2606.08437v1 Announce Type: cross Abstract: Palmprint modality offers a privacy-preserving biometric solution, yet its deployment is hindered by…
提出利用大语言模型打通多垂直领域推荐中的用户行为孤岛，实现跨域行为融合与推荐性能跃升
arXiv:2606.06779v1 Announce Type: cross Abstract: In multi-vertical e-commerce platforms like DoorDash, relatively newer product verticals such as gro…
ICML 2026 接收！提出 RoCA 方法，显著提升端到端自动驾驶在不同场景下的鲁棒跨域适应能力。
arXiv:2506.10145v3 Announce Type: replace Abstract: End-to-end (E2E) autonomous driving has recently emerged as a new paradigm, offering significant p…
医疗图像分割中，跨域自监督方法智能挑选代表性样本，显著降低人工标注成本。
arXiv:2606.04301v1 Announce Type: new Abstract: Acquiring labeled medical image data is resource-intensive and a challenge further exacerbated in cros…
多领域强化学习中的跨域干扰与恢复难题，这篇论文提出全新局部扰动理论，为RL领域交叉应用提供新思路。
arXiv:2606.02398v1 Announce Type: new Abstract: Reinforcement learning (RL) post-training improves large language models (LLMs) on individual domains …