今日从 arXiv 订阅中筛选 10 篇论文。
⚡ Redundancy Meets Synergy: Dependency-aware Expert Selection for MoE via Submodular Optimization
专家选择的正式化:从「单专家打分」到「组合结构」。

⚡ ActiveWAM: Evidence-Aware Active Vision for World-Action Models
WAM 的「看哪里、留什么」:把相机升格为决策对象。

⚡ Video Evidence Indexing: Learning Where to Look from Video Previews for Token-Budgeted Long-Video Question Answering
token 预算下的「看哪几帧」:把证据选择当策略学。

⚡ MoRA: MoE Pruning via Router Bias Learning and Expert Approximation
MoE 剪枝:别只看单个专家,看它们的路由行为。

⚡ SkeleWAM: Skeleton World-Action Modeling for Efficient Robotic Manipulation
WAM 的状态换成「稀疏 3D 骨架」。

⚡ Closed-Loop Refinement and Execution for Learned Driving Planners
闭环里「轨迹好看」和「车能开」是两回事。

⚡ OneStreamer: Unifying Perception, Memory, and Proactive Response in Streaming Video Interaction
流式视频:记录与响应,共享一个生成过程。

⚡ Actions with Receipts: Jointly Binding Claims, Evidence, and Execution for Replayable Tool-Agent Auditing
审计的最后一公里:claim、证据、执行必须绑成一条链。

⚡ WBAG: A Whole-Body and Attached-Geometry Safety Framework for Vision-Language-Action Manipulation
VLA 安全:不建全身体+抓持几何的检查都是漏的。

⚡ DriftOPD: Sequence-Level Reverse-KL Distillation for One-Step VLA Policies
序列级蒸馏:teacher 和 rollout 都可以不要。

自动生成于 2026-10-03 · 基于 arXiv Daily Digest