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  1. CLEVER: A Curated Benchmark for Formally Verified Code …

    9 Iúil 2025 · TL;DR: We introduce CLEVER, a hand-curated benchmark for verified code generation in Lean. It requires full formal specs and proofs. No few-shot method solves all stages, making …

  2. Clever: A Curated Benchmark for Formally Verified Code Generation

    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 …

  3. Submissions | OpenReview

    22 Ean 2025 · Promoting openness in scientific communication and the peer-review process

  4. STAIR: Improving Safety Alignment with Introspective Reasoning

    1 Beal 2025 · 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 …

  5. Evaluating the Robustness of Neural Networks: An Extreme Value...

    15 Feabh 2018 · Our analysis yields a novel robustness metric called CLEVER, which is short for Cross Lipschitz Extreme Value for nEtwork Robustness. The proposed CLEVER score is attack …

  6. Counterfactual Debiasing for Fact Verification

    579 In this paper, we have proposed a novel counter- factual framework CLEVER for debiasing fact- checking models. Unlike existing works, CLEVER is augmentation-free and mitigates …

  7. Alias-Free Mamba Neural Operator | OpenReview

    25 MFómh 2024 · Functionally, MambaNO achieves a clever balance between global integration, facilitated by state space model of Mamba that scans the entire function, and local integration, …

  8. EvoTest: Evolutionary Test-Time Learning for Self-Improving …

    16 MFómh 2025 · A fundamental limitation of current AI agents is their inability to learn complex skills on the fly at test time, often behaving like “clever but clueless interns” in novel …

  9. On the Planning Abilities of Large Language Models : A Critical ...

    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. …

  10. Contrastive Learning Via Equivariant Representation - OpenReview

    25 MFómh 2024 · In this paper, we revisit the roles of augmentation strategies and equivariance in improving CL's efficacy. We propose CLeVER (Contrastive Learning Via Equivariant …