<?xml version="1.0" encoding="UTF-8"?>
<modsCollection xmlns="http://www.loc.gov/mods/v3">
<mods ID="trebuna-dusek-2023-visuallm">
    <titleInfo>
        <title>VisuaLLM: Easy Web-based Visualization for Neural Language Generation</title>
    </titleInfo>
    <name type="personal">
        <namePart type="given">František</namePart>
        <namePart type="family">Trebuňa</namePart>
        <role>
            <roleTerm authority="marcrelator" type="text">author</roleTerm>
        </role>
    </name>
    <name type="personal">
        <namePart type="given">Ondrej</namePart>
        <namePart type="family">Dusek</namePart>
        <role>
            <roleTerm authority="marcrelator" type="text">author</roleTerm>
        </role>
    </name>
    <originInfo>
        <dateIssued>2023-09</dateIssued>
    </originInfo>
    <typeOfResource>text</typeOfResource>
    <relatedItem type="host">
        <titleInfo>
            <title>Proceedings of the 16th International Natural Language Generation Conference: System Demonstrations</title>
        </titleInfo>
        <name type="personal">
            <namePart type="given">C</namePart>
            <namePart type="given">Maria</namePart>
            <namePart type="family">Keet</namePart>
            <role>
                <roleTerm authority="marcrelator" type="text">editor</roleTerm>
            </role>
        </name>
        <name type="personal">
            <namePart type="given">Hung-Yi</namePart>
            <namePart type="family">Lee</namePart>
            <role>
                <roleTerm authority="marcrelator" type="text">editor</roleTerm>
            </role>
        </name>
        <name type="personal">
            <namePart type="given">Sina</namePart>
            <namePart type="family">Zarrieß</namePart>
            <role>
                <roleTerm authority="marcrelator" type="text">editor</roleTerm>
            </role>
        </name>
        <originInfo>
            <publisher>Association for Computational Linguistics</publisher>
            <place>
                <placeTerm type="text">Prague, Czechia</placeTerm>
            </place>
        </originInfo>
        <genre authority="marcgt">conference publication</genre>
    </relatedItem>
    <abstract>VisuaLLM is a Python library that enables interactive visualization of common tasks in natural language generation with pretrained language models (using HuggingFace’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.</abstract>
    <identifier type="citekey">trebuna-dusek-2023-visuallm</identifier>
    <location>
        <url>https://aclanthology.org/2023.inlg-demos.3</url>
    </location>
    <part>
        <date>2023-09</date>
        <extent unit="page">
            <start>6</start>
            <end>8</end>
        </extent>
    </part>
</mods>
</modsCollection>

%0 Conference Proceedings
%T VisuaLLM: Easy Web-based Visualization for Neural Language Generation
%A Trebuňa, František
%A Dusek, Ondrej
%Y Keet, C. Maria
%Y Lee, Hung-Yi
%Y Zarrieß, Sina
%S Proceedings of the 16th International Natural Language Generation Conference: System Demonstrations
%D 2023
%8 September
%I Association for Computational Linguistics
%C Prague, Czechia
%F trebuna-dusek-2023-visuallm
%X VisuaLLM is a Python library that enables interactive visualization of common tasks in natural language generation with pretrained language models (using HuggingFace’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.
%U https://aclanthology.org/2023.inlg-demos.3
%P 6-8

Markdown (Informal)

[VisuaLLM: Easy Web-based Visualization for Neural Language Generation](https://aclanthology.org/2023.inlg-demos.3) (Trebuňa & Dusek, INLG-SIGDIAL 2023)

• VisuaLLM: Easy Web-based Visualization for Neural Language Generation (Trebuňa & Dusek, INLG-SIGDIAL 2023)

ACL

• František Trebuňa and Ondrej Dusek. 2023. VisuaLLM: Easy Web-based Visualization for Neural Language Generation. In Proceedings of the 16th International Natural Language Generation Conference: System Demonstrations, pages 6–8, Prague, Czechia. Association for Computational Linguistics.