embeddings.
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[Submitted on 26 Jan 2024 (v1), last revised 28 Aug 2024 (this version, v2)] View a PDF of the paper titled Unrecognizable Yet Identifiable: Image Distortion with Preserved Embeddings, by Dmytro Zakharov and 2 other authors
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arXivLabs is a framework that allows collaborators to develop and share new arXiv features directly on our website.
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arXivLabs is a framework that allows collaborators to develop and share new arXiv features directly on our website.
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[Submitted on 6 Sep 2022 (v1), last revised 26 Dec 2023 (this version, v2)] Download a PDF of the paper titled SimCLF: A Simple Contrastive Learning Framework for Function-level Binary Embeddings, by Sun RuiJin and 6 other authors
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Vector embeddings play a crucial role in enhancing the capabilities of Large Language Models (LLMs), enabling them to understand and generate text with nuanced intelligence from your data.
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[Submitted on 19 Sep 2023] Download a PDF of the paper titled A Neighbourhood-Aware Differential Privacy Mechanism for Static Word Embeddings, by Danushka Bollegala and 3 other authors
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Vector embeddings – data stored in a vector database – can be used to minimize hallucinations from a GPT-style large language model AI system (such as ChatGPT) and perform automated triaging on anomaly alerts.
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[Submitted on 17 Apr 2023 (v1), last revised 1 Sep 2023 (this version, v2)] Download a PDF of the paper titled GrOVe: Ownership Verification of Graph Neural Networks using Embeddings, by Asim Waheed and 2 other authors