AI Networking Cookbook: Practical recipes for AI-assisted network automation and development
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VCN-Bench is introduced, a VCN-Bench benchmark for probing closed-loop spatial reasoning over prior visual experience in MLLMs, and MV-DualVLN is proposed, a planning-oriented baseline that jointly leverages prior video and in-episode observations.
A data-efficient diffusion RL post-training framework - GQRM (Group Q-score Reweighted Matching), which achieves state-of-the-art cross-embodiment visual navigation performance and introduces two complementary designs: a self-bootstrapped exploration strategy with behavior perturbation that preserves the pretrained pol...
InternVLA-A1.5 is presented, which builds the policy on a native VLM backbone that keeps training on VQA and subtask prediction, and attaches a lightweight unified expert for continuous action generation, and achieves the best overall results on all six simulation benchmarks.
This work presents REAL, an agentic framework for open-world mobile manipulation, which establishes sim-to-real-consistent environment APIs without oracle perception and integrates a simulated user to enable human-in-the-loop interaction.
Cortex is introduced, a bidirectionally aligned embodied agent framework with a customized planning interface that conveys executable and tractable subtask plans from high-level VLM to low-level VLA and enables zero-shot completion of unseen real-world long-horizon tasks.
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