BRAID Optimizes Interleaved Multi-Modal Reasoning via Unified MDP
July 3, 2026
BRAID casts multi-turn text-image-text reasoning as a unified Markov decision process. This framework enables joint reinforcement learning optimization for both textual and visual generation, addressing the limitation of treating image generation as a supervised surrogate.
HOW THIS AFFECTS YOU
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builderYou can now optimize multi-modal agents where text and image outputs are co-dependent.
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researcherThis enables the use of policy gradients across heterogeneous modalities in a single trajectory.