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We introduce clever, the first curated benchmark for evaluating the generation of specifications and formally verified code in lean We use a clever technique that involves rotating the data within each layer of the model, making it easier to identify and keep only the most important parts for processing The benchmark comprises of 161 programming problems
It requires full formal specs and proofs Leaving the barn door open for clever hans Our analysis yields a novel robustness metric called clever, which is short for cross lipschitz extreme value for network robustness
One common approach is training models to refuse unsafe queries, but this strategy can be vulnerable to clever prompts, often referred to as jailbreak attacks, which can trick the ai.
En prediction objectives for basic graph navigation tasks We are largely inspired by recent advances on foundation models and the unparalleled. While, as we mentioned earlier, there can be thorny “clever hans” issues about humans prompting llms, an automated verifier mechanically backprompting the llm doesn’t suffer from these
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