Hierarchical World Models with Implicit Dynamics (ID-WM)
具有隐式动力学的分层世界模型（ID-WM）：解耦流形可达性与逆动力学控制
Latest article / 最新文章
ACCT: Asymmetric Cross-LLM Context Transfer
ACCT：非对称跨大模型上下文复用与 KV 缓存直接迁移
In modern heterogeneous LLM deployments, dynamically routing requests between small and large models forces each target model to recompute massive context prefill from scratch. Tsinghua researchers introduce ACCT: a lightweight interface that translates source-model KV caches into sparse target-model KV states—slashing KV memory by 75% while achieving 6.5x to 21.2x prefill speedups across Qwen and LLaMA model families.
Recent Posts / 近期文章
View all postsMulti-View MoE: Letting Every Router Shape Expert Computation
Multi-View MoE：让每一个路由器协同塑造专家计算与表征
VeriCUA: Verification as Agentic Exploration for Computer-Using Agents
VeriCUA：将计算机操作智能体评测重塑为主动环境探索
Honeycomb-Surfels: Compact Hexagonal Primitives for Efficient 3D Scene Rendering
Honeycomb-Surfels：面向高效 3D 渲染与表面重建的紧致六边形基元
Scaling Laws for Tool-Use Agents via Controllable Environment Synthesis
面向工具调用智能体的扩展法则：基于可控合成环境的系统性实证
Heads of Security: Learned Attention Gates for Robust Prompt Injection Defense
Heads of Security：基于可学习注意力门控的提示词注入主动防御
ThinkWorld: World Imagination Reinforces Chain-of-Dynamics Reasoning for Robotics
ThinkWorld：具身世界想象与动力链推理强化的通用机器人操作
Look Only When Needed: Certificate-Guided Visual Routing for Efficient Diffusion VLMs
LOWN：按需观照，基于一致性认证的扩散视觉语言模型高效视觉路由
SWIM: Learning What Matters from Behaviors for JEPA World Models
SWIM：因行知重，基于逆动力学行为加权的 JEPA 具身世界模型
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