Close Menu
    DevStackTipsDevStackTips
    • Home
    • News & Updates
      1. Tech & Work
      2. View All

      Error’d: Pickup Sticklers

      September 27, 2025

      From Prompt To Partner: Designing Your Custom AI Assistant

      September 27, 2025

      Microsoft unveils reimagined Marketplace for cloud solutions, AI apps, and more

      September 27, 2025

      Design Dialects: Breaking the Rules, Not the System

      September 27, 2025

      Building personal apps with open source and AI

      September 12, 2025

      What Can We Actually Do With corner-shape?

      September 12, 2025

      Craft, Clarity, and Care: The Story and Work of Mengchu Yao

      September 12, 2025

      Cailabs secures €57M to accelerate growth and industrial scale-up

      September 12, 2025
    • Development
      1. Algorithms & Data Structures
      2. Artificial Intelligence
      3. Back-End Development
      4. Databases
      5. Front-End Development
      6. Libraries & Frameworks
      7. Machine Learning
      8. Security
      9. Software Engineering
      10. Tools & IDEs
      11. Web Design
      12. Web Development
      13. Web Security
      14. Programming Languages
        • PHP
        • JavaScript
      Featured

      Using phpinfo() to Debug Common and Not-so-Common PHP Errors and Warnings

      September 28, 2025
      Recent

      Using phpinfo() to Debug Common and Not-so-Common PHP Errors and Warnings

      September 28, 2025

      Mastering PHP File Uploads: A Guide to php.ini Settings and Code Examples

      September 28, 2025

      The first browser with JavaScript landed 30 years ago

      September 27, 2025
    • Operating Systems
      1. Windows
      2. Linux
      3. macOS
      Featured
      Recent
    • Learning Resources
      • Books
      • Cheatsheets
      • Tutorials & Guides
    Home»Development»Machine Learning»Self-reflective Uncertainties: Do LLMs Know Their Internal Answer Distribution?

    Self-reflective Uncertainties: Do LLMs Know Their Internal Answer Distribution?

    July 9, 2025

    This paper was accepted at the Workshop on Reliable and Responsible Foundation Models (RRFMs) Workshop at ICML 2025.
    Uncertainty quantification plays a pivotal role when bringing large language models (LLMs) to end-users. Its primary goal is that an LLM should indicate when it is unsure about an answer it gives. While this has been revealed with numerical certainty scores in the past, we propose to use the rich output space of LLMs, the space of all possible strings, to give a string that describes the uncertainty. In particular, we seek a string that describes the distribution of LLM answers…

    Source: Read More 

    Facebook Twitter Reddit Email Copy Link
    Previous ArticleA Variational Framework for Improving Naturalness in Generative Spoken Language Models
    Next Article AWS AI infrastructure with NVIDIA Blackwell: Two powerful compute solutions for the next frontier of AI

    Related Posts

    Machine Learning

    How to Evaluate Jailbreak Methods: A Case Study with the StrongREJECT Benchmark

    September 3, 2025
    Machine Learning

    Announcing the new cluster creation experience for Amazon SageMaker HyperPod

    September 3, 2025
    Leave A Reply Cancel Reply

    For security, use of Google's reCAPTCHA service is required which is subject to the Google Privacy Policy and Terms of Use.

    Continue Reading

    How AI-Powered Visual Quality Control Drives Business Growth and Precision

    Web Development

    How to Split Data with Newline Characters into Separate Rows in Excel Using Power Query

    Development

    Critical sslh Vulnerabilities Let Hackers Trigger Remote DoS Attacks

    Security

    Time-Controlled Data Processing with Laravel LazyCollection Methods

    Development

    Highlights

    Kritiek lek in honderden Brother-printers kan aanvaller admintoegang geven

    June 25, 2025

    Kritiek lek in honderden Brother-printers kan aanvaller admintoegang geven

    Een kritieke kwetsbaarheid in honderden printermodellen van Brother kan een ongeauthenticeerde aanvaller op afstand admintoegang geven. Brother heeft voor meer dan zeshonderd modellen firmware-updates …
    Read more

    Published Date:
    Jun 25, 2025 (1 hour, 59 minutes ago)

    Vulnerabilities has been mentioned in this article.

    CVE-2024-51978

    CVE-2024-51977

    CVE-2017-9765

    Smarter Decisions Ahead: Predictive Analytics for Sales Forecasting & Inventory Mastery📈

    May 16, 2025

    You can try Android 16’s new lock screen widgets – if you have one of these phones

    August 27, 2025

    Researchers Uncover Batavia Windows Spyware Stealing Documents from Russian Firms

    July 8, 2025
    © DevStackTips 2025. All rights reserved.
    • Contact
    • Privacy Policy

    Type above and press Enter to search. Press Esc to cancel.