Generalization

Weak-to-strong generalization

There are still necessary disanalogies between our current empirical setup and the last word problem of aligning superhuman models. For instance, it might be easier for future models to mimic weak human errors than...

Neural Networks Achieve Human-Like Language Generalization

Within the ever-evolving world of artificial intelligence (AI), scientists have recently heralded a big milestone. They've crafted a neural network that exhibits a human-like proficiency in language generalization. This groundbreaking development isn't only a...

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