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Ditch the complex diffusion sampling methods: a simple Adam optimizer can give you state-of-the-art image generation and restoration results.
Human-AI collaboration using LLMs and symbolic solvers just cracked a notoriously hard problem in combinatorial design theory, finding a tight lower bound on Latin square imbalance.
Forget expensive human annotations or hallucination-prone LLM-generated data: rule-generated synthetic data can teach LLMs to compose knowledge and significantly boost multi-hop reasoning on real-world tasks.
