Inconsistency, Paraconsistency and ?-Inconsistency [PDF]
Principia: An International Journal of Epistemology, 2018 In this paper I’ll explore the relation between ?-inconsistency and plain inconsistency, in the context of theories that intend to capture semantic concepts. In particular, I’ll focus on two very well known inconsistent but non-trivial theories of truth:
Bruno Da Ré
doaj +7 more sources
SummaC: Re-Visiting NLI-based Models for Inconsistency Detection in Summarization [PDF]
Transactions of the Association for Computational Linguistics, 2021 In the summarization domain, a key requirement for summaries is to be factually consistent with the input document. Previous work has found that natural language inference (NLI) models do not perform competitively when applied to inconsistency detection.
Philippe Laban +3 more
semanticscholar +1 more source
Spatiotemporal Inconsistency Learning for DeepFake Video Detection [PDF]
ACM Multimedia, 2021 The rapid development of facial manipulation techniques has aroused public concerns in recent years. Following the success of deep learning, existing methods always formulate DeepFake video detection as a binary classification problem and develop frame ...
Zhihao Gu +6 more
semanticscholar +1 more source
RCOT: Detecting and Rectifying Factual Inconsistency in Reasoning by Reversing Chain-of-Thought [PDF]
arXiv.org, 2023 Large language Models (LLMs) have achieved promising performance on arithmetic reasoning tasks by incorporating step-by-step chain-of-thought (CoT) prompting.
Tianci Xue +5 more
semanticscholar +1 more source
UIA-ViT: Unsupervised Inconsistency-Aware Method based on Vision Transformer for Face Forgery Detection [PDF]
European Conference on Computer Vision, 2022 Intra-frame inconsistency has been proved to be effective for the generalization of face forgery detection. However, learning to focus on these inconsistency requires extra pixel-level forged location annotations.
Wanyi Zhuang +7 more
semanticscholar +1 more source
Inconsistency-Aware Uncertainty Estimation for Semi-Supervised Medical Image Segmentation [PDF]
IEEE Transactions on Medical Imaging, 2021 In semi-supervised medical image segmentation, most previous works draw on the common assumption that higher entropy means higher uncertainty. In this paper, we investigate a novel method of estimating uncertainty.
Yinghuan Shi +7 more
semanticscholar +1 more source
SAILFISH: Vetting Smart Contract State-Inconsistency Bugs in Seconds [PDF]
IEEE Symposium on Security and Privacy, 2021 This paper presents SAILFISH, a scalable system for automatically finding state-inconsistency bugs in smart contracts. To make the analysis tractable, we introduce a hybrid approach that includes (i) a light-weight exploration phase that dramatically ...
Priyanka Bose +5 more
semanticscholar +1 more source
Religious inconsistency on corruption behaviour among Muslim politicians in Indonesia
HTS Teologiese Studies/Theological Studies, 2022 The problem of corruption in Indonesia is like an unbroken chain. Since the 1998 reformation until now (2021), many persons with corruption cases involving politicians or officials have been arrested and even imprisoned.
Nur Khoirin, Mahfudz Junaedi
doaj +1 more source
Alleviating the Inconsistency Problem of Applying Graph Neural Network to Fraud Detection [PDF]
Annual International ACM SIGIR Conference on Research and Development in Information Retrieval, 2020 Graph-based models have been widely used to fraud detection tasks. Owing to the development of Graph Neural Networks~(GNNs), recent works have proposed many GNN-based fraud detectors based on either homogeneous or heterogeneous graphs.
Zhiwei Liu +4 more
semanticscholar +1 more source
Inconsistency of islands in theories with long-range gravity [PDF]
Journal of High Energy Physics, 2021 In ordinary gravitational theories, any local bulk operator in an entanglement wedge is accompanied by a long-range gravitational dressing that extends to the asymptotic part of the wedge.
H. Geng +6 more
semanticscholar +1 more source