CLEVER: A Curated Benchmark for Formally Verified Code …
8, జులై 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 …
STAIR: Improving Safety Alignment with Introspective Reasoning
1, మే 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 …
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 …
Evaluating the Robustness of Neural Networks: An Extreme Value...
15, ఫిబ్ర 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 …
Submissions | OpenReview
22, జన 2025, · 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 …
Contrastive Learning Via Equivariant Representation - OpenReview
25, సెప్టెం 2024, · In this paper, we revisit the roles of augmentation strategies and equivariance in improving CL's efficacy. We propose CLeVER (Contrastive Learning Via …
EvoTest: Evolutionary Test-Time Learning for Self-Improving …
16, సెప్టెం 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 …
KnowTrace: Explicit Knowledge Tracing for Structured...
13, సెప్టెం 2024, · TL;DR: We introduce a structured RAG paradigm (KnowTrace) that seamlessly integrates knowledge structuring and multi-step reasoning for improved MHQA …
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 …
Do Histopathological Foundation Models Eliminate Batch Effects?
11, అక్టో 2024, · Deep learning has led to remarkable advancements in computational histopathology, e.g., in diagnostics, biomarker prediction, and outcome prognosis. Yet, the lack …
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