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Jul 8, 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 st&Sep 13, 2024 · " This paper introduces a clever incorporation of knowledge graph operation for structured RAG " (Reviewer ifaQ). " The proposed method is straightforward, intuitiv,Feb 15, 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 a%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 prob|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 +Sep 25, 2024 · In this paper, we revisit the roles of augmentation strategies and equivariance in improving CLs efficacy. We propose CLeVER (Contrastive Learning Via Equivariant .Sep 18, 2025 · This paper introduces CLEVER, a benchmark dataset designed to evaluate LLMs on formally verified code generation. It consists of 161 carefully crafted Lean specific
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Jul 8, 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 st&Sep 13, 2024 · " This paper introduces a clever incorporation of knowledge graph operation for structured RAG " (Reviewer ifaQ). " The proposed method is straightforward, intuitiv,Feb 15, 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 a%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 prob|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 +Sep 25, 2024 · In this paper, we revisit the roles of augmentation strategies and equivariance in improving CLs efficacy. We propose CLeVER (Contrastive Learning Via Equivariant .Sep 18, 2025 · This paper introduces CLEVER, a benchmark dataset designed to evaluate LLMs on formally verified code generation. It consists of 161 carefully crafted Lean specific