EvoTest: Evolutionary Test-Time Learning for Self-Improving …
Sep 16, 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 …
CLEVER: A Curated Benchmark for Formally Verified Code Generation
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 …
Submissions | OpenReview
Jan 22, 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 …
HashAttention: Semantic Sparsity for Faster Inference
May 1, 2025 · Using clever mathematical tricks and learned functions, we represent the tokens in a compact format that allows fast comparisons using simple bitwise operations. HashAttention …
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Progressive Growing of GANs for Improved Quality, Stability, and ...
Feb 15, 2018 · We train generative adversarial networks in a progressive fashion, enabling us to generate high-resolution images with high quality.
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 …
BEST-Route: Adaptive LLM Routing with Test-Time Optimal Compute
May 1, 2025 · This clever approach often yields a response just as good as the expert's but at a much lower cost. For truly tough questions, the system still relies on the top-tier expert AI to …
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 …
Contrastive Learning Via Equivariant Representation - OpenReview
Sep 25, 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 …