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We introduce clever, the first curated benchmark for evaluating the generation of specifications and formally verified code in lean The benchmark comprises of 161 programming problems It requires full formal specs and proofs Our analysis yields a novel robustness metric called clever, which is short for cross lipschitz extreme value for network robustness Membership inference and memorization is a key challenge with diffusion models Mitigating such vulnerabilities is hence an important topic The idea of using an ensemble of. En prediction objectives for basic graph navigation tasks 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. Leaving the barn door open for clever hans 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 We are largely inspired by recent advances on foundation models and the unparalleled.