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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 …
Leaving the barn door open for Clever Hans: Simple features …
Dec 31, 2023 · This phenomenon, widely known in human and animal experiments, is often referred to as the 'Clever Hans' effect, where tasks are solved using spurious cues, often …
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. …
Alias-Free Mamba Neural Operator | OpenReview
Sep 25, 2024 · Functionally, MambaNO achieves a clever balance between global integration, facilitated by state space model of Mamba that scans the entire function, and local integration, …
te the CLEVER scores for the same set of images and attack targets. To the best of our knowledge, CLEVER is the first attack-independent robustness score that is capable of …
From Control Application to Control Logic: PLC Decompile …
Jan 1, 2024 · To address the challenge, we propose a PLC decompile framework named CLEVER, which can analyze the control application and extract the control logic. First, we …
Leaving the barn door open for Clever Hans: Simple features …
Sep 27, 2024 · This paper focuses on exploring the "Clever Hans" effect, also known as the "shortcut learning" effect, in which the trained model exploits simple and superficial …
LENFusion: A Joint Low-Light Enhancement and Fusion Network …
Jan 1, 2024 · The enhancement is performed in two stages. In the initial stage, LAN applies adaptive luminance adjustment to the original visible image. Subsequently, RFN achieves …
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 …
Learnable Representative Coefficient Image Denoiser for...
Dec 31, 2023 · Fully characterizing the spatial-spectral priors of hyperspectral images (HSIs) is crucial for HSI denoising tasks. Recently, HSI denoising models based on representative …
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