
- CLEVER: A Curated Benchmark for Formally Verified Code Generation- Jul 9, 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 … 
- 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; … 
- Submissions | OpenReview- Jan 22, 2025 · Promoting openness in scientific communication and the peer-review process 
- Evaluating the Robustness of Neural Networks: An Extreme Value...- 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 … 
- 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 … 
- STAIR: Improving Safety Alignment with Introspective Reasoning- May 1, 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 … 
- 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. … 
- Do Histopathological Foundation Models Eliminate Batch Effects?- Oct 11, 2024 · Deep learning has led to remarkable advancements in computational histopathology, e.g., in diagnostics, biomarker prediction, and outcome prognosis. Yet, the … 
- Provably Mitigating Overoptimization in RLHF: Your SFT Loss is...- Jun 18, 2024 · With a clever usage of the equivalence between reward models and the corresponding optimal policy, the algorithm features a simple objective that combines (i) a … 
- La RoSA: Enhancing LLM Efficiency via Layerwise Rotated Sparse...- May 1, 2025 · We use a clever technique that involves rotating the data within each layer of the model, making it easier to identify and keep only the most important parts for processing. This …