AI Networking Cookbook: Practical recipes for AI-assisted network automation and development
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OWP is proposed, a training-free framework that shifts hallucination mitigation from output-level manipulation to conflict-conditioned representation rebalancing and adaptively rebalances fused representations by suppressing misleading priors and restoring ignored evidence before decoding.
Light-Omni is introduced, a multimodal agent framework for reflexive and lightweight video understanding that achieves semantically aligned retrieval and reflexive responses while avoiding iterative reasoning and serves as a memory system to enhance both the performance and efficiency of existing MLLMs.
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