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VisuaLLM: Easy Web-based Visualization for Neural Language Generation

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216208%3A11320%2F23%3A10475733" target="_blank" >RIV/00216208:11320/23:10475733 - isvavai.cz</a>

  • Result on the web

    <a href="https://aclanthology.org/2023.inlg-demos.3" target="_blank" >https://aclanthology.org/2023.inlg-demos.3</a>

  • DOI - Digital Object Identifier

Alternative languages

  • Result language

    angličtina

  • Original language name

    VisuaLLM: Easy Web-based Visualization for Neural Language Generation

  • Original language description

    VisuaLLM is a Python library that enables interactive visualization of common tasks in natural language generation with pretrained language models (using HuggingFace&apos;s model API), with tight integration of benchmark datasets and fine-grained generation control. The system runs as a local generation backend server and features a web-based frontend, allowing simple interface configuration by minimal Python code. The currently implemented views include data visualization, next-token prediction with probability distributions, and decoding parameter control, with simple extension to additional tasks.

  • Czech name

  • Czech description

Classification

  • Type

    D - Article in proceedings

  • CEP classification

  • OECD FORD branch

    10201 - Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)

Result continuities

  • Project

  • Continuities

    R - Projekt Ramcoveho programu EK

Others

  • Publication year

    2023

  • Confidentiality

    S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Data specific for result type

  • Article name in the collection

    Proceedings of the 16th International Natural Language Generation Conference: System Demonstrations

  • ISBN

    979-8-89176-003-5

  • ISSN

  • e-ISSN

  • Number of pages

    3

  • Pages from-to

    6-8

  • Publisher name

    Association for Computational Linguistics

  • Place of publication

    Stroudsburg, PA, USA

  • Event location

    Prague, Czechia

  • Event date

    Sep 11, 2023

  • Type of event by nationality

    WRD - Celosvětová akce

  • UT code for WoS article