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

    2025年7月8日 · 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 …

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

    2018年2月15日 · 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 …

  4. Contrastive Learning Via Equivariant Representation - OpenReview

    2024年9月25日 · In this paper, we revisit the roles of augmentation strategies and equivariance in improving CL's efficacy. We propose CLeVER (Contrastive Learning Via Equivariant …

  5. Submissions | OpenReview

    2025年1月22日 · Leaving the barn door open for Clever Hans: Simple features predict LLM benchmark answers Lorenzo Pacchiardi, Marko Tesic, Lucy G Cheke, Jose Hernandez-Orallo 27 …

  6. STAIR: Improving Safety Alignment with Introspective Reasoning

    2025年5月1日 · 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 …

  7. KnowTrace: Explicit Knowledge Tracing for Structured...

    2024年9月13日 · TL;DR: We introduce a structured RAG paradigm (KnowTrace) that seamlessly integrates knowledge structuring and multi-step reasoning for improved MHQA performance.

  8. Do Histopathological Foundation Models Eliminate Batch Effects?

    2024年10月11日 · Deep learning has led to remarkable advancements in computational histopathology, e.g., in diagnostics, biomarker prediction, and outcome prognosis. Yet, the lack …

  9. 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 …

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

    2025年9月16日 · 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 …