<?xml version="1.0" encoding="UTF-8"?>
<modsCollection xmlns="http://www.loc.gov/mods/v3">
<mods ID="clymo-etal-2025-ucsc">
    <titleInfo>
        <title>UCSC NLP T6 at SemEval-2025 Task 1: Leveraging LLMs and VLMs for Idiomatic Understanding</title>
    </titleInfo>
    <name type="personal">
        <namePart type="given">Judith</namePart>
        <namePart type="family">Clymo</namePart>
        <role>
            <roleTerm authority="marcrelator" type="text">author</roleTerm>
        </role>
    </name>
    <name type="personal">
        <namePart type="given">Adam</namePart>
        <namePart type="family">Zernik</namePart>
        <role>
            <roleTerm authority="marcrelator" type="text">author</roleTerm>
        </role>
    </name>
    <name type="personal">
        <namePart type="given">Shubham</namePart>
        <namePart type="family">Gaur</namePart>
        <role>
            <roleTerm authority="marcrelator" type="text">author</roleTerm>
        </role>
    </name>
    <originInfo>
        <dateIssued>2025-07</dateIssued>
    </originInfo>
    <typeOfResource>text</typeOfResource>
    <relatedItem type="host">
        <titleInfo>
            <title>Proceedings of the 19th International Workshop on Semantic Evaluation (SemEval-2025)</title>
        </titleInfo>
        <name type="personal">
            <namePart type="given">Sara</namePart>
            <namePart type="family">Rosenthal</namePart>
            <role>
                <roleTerm authority="marcrelator" type="text">editor</roleTerm>
            </role>
        </name>
        <name type="personal">
            <namePart type="given">Aiala</namePart>
            <namePart type="family">Rosá</namePart>
            <role>
                <roleTerm authority="marcrelator" type="text">editor</roleTerm>
            </role>
        </name>
        <name type="personal">
            <namePart type="given">Debanjan</namePart>
            <namePart type="family">Ghosh</namePart>
            <role>
                <roleTerm authority="marcrelator" type="text">editor</roleTerm>
            </role>
        </name>
        <name type="personal">
            <namePart type="given">Marcos</namePart>
            <namePart type="family">Zampieri</namePart>
            <role>
                <roleTerm authority="marcrelator" type="text">editor</roleTerm>
            </role>
        </name>
        <originInfo>
            <publisher>Association for Computational Linguistics</publisher>
            <place>
                <placeTerm type="text">Vienna, Austria</placeTerm>
            </place>
        </originInfo>
        <genre authority="marcgt">conference publication</genre>
        <identifier type="isbn">979-8-89176-273-2</identifier>
    </relatedItem>
    <abstract>Idiomatic expressions pose a significant challenge for natural language models due to their non-compositional nature. In this work, we address Subtask 1 of the SemEval-2025 Task 1 (ADMIRE), which requires distinguishing between idiomatic and literal usages of phrases and identify images that align with the relevant meaning.Our approach integrates large language models (LLMs) and vision-language models, and we show how different prompting techniques improve those models’ ability to identify and explain the meaning of idiomatic language.</abstract>
    <identifier type="citekey">clymo-etal-2025-ucsc</identifier>
    <location>
        <url>https://aclanthology.org/2025.semeval-1.274/</url>
    </location>
    <part>
        <date>2025-07</date>
        <extent unit="page">
            <start>2103</start>
            <end>2115</end>
        </extent>
    </part>
</mods>
</modsCollection>

%0 Conference Proceedings
%T UCSC NLP T6 at SemEval-2025 Task 1: Leveraging LLMs and VLMs for Idiomatic Understanding
%A Clymo, Judith
%A Zernik, Adam
%A Gaur, Shubham
%Y Rosenthal, Sara
%Y Rosá, Aiala
%Y Ghosh, Debanjan
%Y Zampieri, Marcos
%S Proceedings of the 19th International Workshop on Semantic Evaluation (SemEval-2025)
%D 2025
%8 July
%I Association for Computational Linguistics
%C Vienna, Austria
%@ 979-8-89176-273-2
%F clymo-etal-2025-ucsc
%X Idiomatic expressions pose a significant challenge for natural language models due to their non-compositional nature. In this work, we address Subtask 1 of the SemEval-2025 Task 1 (ADMIRE), which requires distinguishing between idiomatic and literal usages of phrases and identify images that align with the relevant meaning.Our approach integrates large language models (LLMs) and vision-language models, and we show how different prompting techniques improve those models’ ability to identify and explain the meaning of idiomatic language.
%U https://aclanthology.org/2025.semeval-1.274/
%P 2103-2115

Markdown (Informal)

[UCSC NLP T6 at SemEval-2025 Task 1: Leveraging LLMs and VLMs for Idiomatic Understanding](https://aclanthology.org/2025.semeval-1.274/) (Clymo et al., SemEval 2025)

• UCSC NLP T6 at SemEval-2025 Task 1: Leveraging LLMs and VLMs for Idiomatic Understanding (Clymo et al., SemEval 2025)

ACL

• Judith Clymo, Adam Zernik, and Shubham Gaur. 2025. UCSC NLP T6 at SemEval-2025 Task 1: Leveraging LLMs and VLMs for Idiomatic Understanding. In Proceedings of the 19th International Workshop on Semantic Evaluation (SemEval-2025), pages 2103–2115, Vienna, Austria. Association for Computational Linguistics.