无需训练即可编排多模态大模型，实现零样本协调多种能力，降低落地门槛
arXiv:2508.10016v4 Announce Type: replace Abstract: Building interactive omni-modal assistants often relies on end-to-end multimodal alignment to fuse…
提出小语言模型Med-V1，零样本实现生物医学证据归因，兼顾规模与可扩展性
arXiv:2603.05308v2 Announce Type: replace Abstract: Assessing whether an article supports an assertion is essential for hallucination detection and cl…
零样本对话状态跟踪新突破：有界神经符号代理框架实现高效稳健的NLU推理
arXiv:2605.19077v1 Announce Type: new Abstract: Task-oriented dialogue systems -- handling transactions, reservations, and service requests -- require…
大语言模型在零样本目标识别中展现基于世界知识的溯因推理能力，超越符号规划方法。
arXiv:2605.15333v1 Announce Type: new Abstract: Large language models have recently reached near-parity with classical planners on well-known planning…
预训练人形运动基础模型，利用大规模混合运动语料实现零样本全身追踪，视频重建数据大幅提升多样性。
arXiv:2605.15336v1 Announce Type: cross Abstract: In this report, we present HoloMotion-1, a humanoid motion foundation model for zero-shot whole-body…