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University of Rochester
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Semantic structure, not just token-level feedback, unlocks significant gains in RL-driven text-to-image prompt engineering.
AI agents can now generate and verify complex 3D worlds using executable code, outperforming leading models in human preference studies.
Append-only memory guarantees attention collapse in long-horizon video reasoning, but actively rewriting a bounded working memory from an external filesystem boosts hard-subset task accuracy by over 20%.