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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 …
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 …
Weakly-Supervised Affordance Grounding Guided by Part-Level...
Jan 22, 2025 · In this work, we focus on the task of weakly supervised affordance grounding, where a model is trained to identify affordance regions on objects using human-object …
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 …
Alias-Free Mamba Neural Operator | OpenReview
Sep 25, 2024 · To counteract the dilemma, we propose a mamba neural operator with O (N) computational complexity, namely MambaNO. Functionally, MambaNO achieves a clever …
Thieves on Sesame Street! Model Extraction of BERT-based APIs
Dec 20, 2019 · Outputs of modern NLP APIs on nonsensical text provide strong signals about model internals, allowing adversaries to steal the APIs.
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 …
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 …
Abstract Transformer-based large language models (LLMs) provide a powerful foundation for natural language tasks in large-scale customer-facing applications. However, studies that …
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