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A three-stage reinforced fine-tuning (RFT) pipeline for multi-agent VLAs is presented, which freezes the VLA and performs RL in its latent noise space and finds existing online RL for VLAs are less effective for hard multi-agent tasks, which are attributed to noisy co-exploration and unstable updates.
WebWorld is presented, the interface that lets a VLM prior interact with this browser-as-world-model autonomously and decides which interactions become supervision and reaches the level of strong frontier systems such as Kimi-K2.6 and GPT-5.4 on interactive HTML generation.
CyberFactory is introduced, a unified open-source framework that connects data construction, trajectory synthesis, and model training across proof-of-concept (PoC) generation, vulnerability patching, and cybersecurity question answering (CyberQA).
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