2025年9月18日 · Framing the geometric inaccuracy—specifically, the tendency for surfels to overfit to the image plane—as an aliasing problem caused by the spatial frequency of primitives exceeding the …

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 environments. This …

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 Sept 2024 …

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 stages, making it a …

2025年9月18日 · Fusing multi-source images captured in the wild is often undermined by unpredictable and coupled degradations, including pixel-level misalignment, adverse weather, and dynamic artifacts. …

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 trick the AI into …

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 Representation), a …

2025年9月18日 · Strengths: Using diffusion based Kernel Prediction in the latent domain to iteratively refine the input for the diffusion based restoration model is a clever idea. It tackles a prevalent …

2025年1月22日 · The work includes a new benchmark (LongBench-Write) for evaluating ultra-long generation. Reviewers highlighted the paper's clear identification of the problem, the clever and …

2025年9月19日 · While neural networks have emerged as powerful tools for solving optimization problems, demonstrating performance comparable to or surpassing traditional solvers, their …