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    Home»Development»Machine Learning»An LLM-Based Approach to Review Summarization on the App Store

    An LLM-Based Approach to Review Summarization on the App Store

    April 24, 2025

    Ratings and reviews are an invaluable resource for users exploring an app on the App Store, providing insights into how others have experienced the app. With review summaries now available in iOS 18.4, users can quickly get a high-level overview of what other users think about an app, while still having the option to dive into individual reviews for more detail. This feature is powered by a novel, multi-step LLM-based system that periodically summarizes user reviews.
    Our goal in producing review summaries is to ensure they are inclusive, balanced, and accurately reflect the user’s voice. To…

    Source: Read More 

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    CVE ID : CVE-2025-28028

    Published : April 23, 2025, 5:16 p.m. | 1 hour, 42 minutes ago

    Description : TOTOLINK A830R V4.1.2cu.5182_B20201102, A950RG V4.1.2cu.5161_B20200903, A3000RU V5.9c.5185_B20201128, and A3100R V4.1.2cu.5247_B20211129 were found to contain a buffer overflow vulnerability in downloadFile.cgi through the v5 parameter.

    Severity: 0.0 | NA

    Visit the link for more details, such as CVSS details, affected products, timeline, and more…

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