我国力争到 2030 年关键软件全面实现智能化升级
IT之家 9 月 13 日消息，据新华社报道，工业和信息化部 11 日对外发布《“人工智能 + 软件”专项行动实施方案》，提出到 2030 年，人工智能与软件和信息技术服务业融合发展实现新跃升， 关键软件全面实现智能化升级 ，智能编程、智能…
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共 86 条PARSER: Read in Parallel, Reason in Depth for Long-Context LLM Agents
Sequential memory agents process long documents by reading chunks one after another while maintaining a compact memory s…
Agentic Visual Generation: From Generative Models to Agentic Control
Visual generation is evolving from generative models used through a single invocation into agentic control processes tha…
DianShi-RxnDB: A Large-Scale, Fine-Grained Organic Reaction Data Platform Built via a Fully Automated Pipeline for Researchers and AI Agents
High-quality structured organic reaction data are essential for developing artificial intelligence for chemistry (AI4Che…
Adaptive Bridge: A Proxy-Based Decoupling Layer for Mitigating DDS Backpressure in ROS 2
In systems built on Robot Operating System 2 (ROS 2) and using Data Distribution Service (DDS), a single network-impaire…
EvoSafeHarness: Evolving Model- and Domain-Specific Harnesses for Securing Agents
Large Language Model (LLM) agents are turning language into real-world effects, making safety necessary against both ind…
Counter-Swarm Doctrine: Containing Coordinated Agent Intrusions
Agents can turn shared infrastructure into a channel for coordinated intrusion. The HF Mirror incident and a separate pu…
GE-Act 2.0: Pretraining and Scaling a World-Action Model for Robotic Manipulation
World-action models (WAM) predict future states to guide robot actions, enabling learning from both action-free video an…
RoboSPA: Can VLA Models Go Beyond Simple Scenes and Short-Horizon Tasks?
Vision-Language-Action (VLA) models have shown promising progress in language-conditioned robotic manipulation. However,…
UniMate: One Unified Model to Animate Diverse Skeletons
Recent advances in automatic rigging now deliver animation-ready 3D assets at scale, yet generating the motion to drive …
SceneMosaic: Efficient and Diverse Simulation-Ready Scene Generation via Hybrid Agentic Layout Evolution
Diverse and simulation-ready indoor scenes are essential for interactive entertainment and embodied AI, yet their scalab…
Don't Drop Dropout: Optimizing Layer Sparsity for Efficient LLM Training and Inference
Layer dropout (a.k.a. stochastic depth) has been shown to enable faster training, higher accuracy, and robustness to zer…
τ^τ-Bench: An Environment for End-To-End, Realistic Agent Construction
LLM agents are rapidly becoming production software, deployed to handle customer service, adjudicate disputes, and opera…