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The paper introduces Libra, a decoupled vision-language architecture for multimodal large language models that enables both image-to-text understanding and text-to-image generation, demonstrating strong performance on benchmarks.
WorldMind introduces a decoupled framework for state-aware NPC behavior in game world models, separating world modeling into understanding, decision, control, and generation layers to enhance responsiveness.
This paper presents Decoupled Search Grounding (DSG), a vendor-agnostic architecture that separates search retrieval from LLM reasoning, enabling explicit control over provider routing, caching, and output contracts. Experiments show DSG nearly matches native search accuracy at 91% lower cost and 68% lower latency.