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LDM achieves over 60% gains in multi-objective performance, revolutionizing how we approach open-ended hypothesis spaces in scientific discovery.
Stop wasting resources on ad-hoc experiments: Bayesian Optimization offers a principled, probability-driven framework to automate scientific discovery.
Forget hand-crafting agents: Memento-Skills lets a generalist LLM agent autonomously design and improve specialized agents through experience, achieving substantial gains on complex benchmarks.
