人工智能
83 篇 · 资讯流Foresight-over-Graph: Reasoning Beyond Local Horizons for Knowledge Base Question Answering
Large language models (LLMs) have demonstrated strong capabilities in question answering, yet they still frequently suff
原文 ↗DySCo: Dynamic Sharding for Collaborative Edge-Cloud LLM Inference with Depth-Synchronized Batching
Pervasive intelligent applications are increasingly deployed on mobile and Internet of Things (IoT) edge devices. Conseq
原文 ↗VisionWeave: Weaving Elastic Visual Representations as a Native Capability of MLLMs
Multimodal large language models have become the dominant paradigm for visual understanding, but incur substantial costs
原文 ↗Persistent Memory in Multi-Agent LLM Inference: What It Costs, What It Buys, and When You Can Tell
Decomposing long-context inference across cooperating agents bounds the active KV cache per call rather than total evide
原文 ↗Adaptive Mean Flow for Responsive Closed-Loop Robot Control
Diffusion- and flow-based robot policies have recently become widespread in robotic Imitation Learning (IL) due to their
原文 ↗D2K-Bench: Can LLM Agents Turn Expert Designs into Efficient GPU Kernels?
GPU kernels generated by large language model (LLM) agents can remain less efficient than expert implementations, but ru
原文 ↗Reconstruct, Practice, Go Real: Guided Self-Improvement for Embodied Agents
Building reliable robot capabilities across diverse tasks requires substantial human effort to develop and maintain skil
原文 ↗CARM: Cancellation-Aware Response Masking for LLM Reinforcement Learning
Recent years have witnessed the rapid adoption of reinforcement learning (RL) in large language model (LLM) post-trainin
原文 ↗Detecting Inconsistencies in Model Specifications with LLM-as-Verifier Reasoning
Model specifications define how large language models (LLMs) should behave, guiding alignment training, inference-time b
原文 ↗Managing Context and Communication in Distributed Agentic UAV Swarms
Unmanned aerial vehicle (UAV) swarms increasingly rely on language-model agents to provide adaptive mission-level reason
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