<?xml version="1.0" encoding="UTF-8"?>
<modsCollection xmlns="http://www.loc.gov/mods/v3">
<mods ID="xu-etal-2023-unleash">
    <titleInfo>
        <title>How to Unleash the Power of Large Language Models for Few-shot Relation Extraction?</title>
    </titleInfo>
    <name type="personal">
        <namePart type="given">Xin</namePart>
        <namePart type="family">Xu</namePart>
        <role>
            <roleTerm authority="marcrelator" type="text">author</roleTerm>
        </role>
    </name>
    <name type="personal">
        <namePart type="given">Yuqi</namePart>
        <namePart type="family">Zhu</namePart>
        <role>
            <roleTerm authority="marcrelator" type="text">author</roleTerm>
        </role>
    </name>
    <name type="personal">
        <namePart type="given">Xiaohan</namePart>
        <namePart type="family">Wang</namePart>
        <role>
            <roleTerm authority="marcrelator" type="text">author</roleTerm>
        </role>
    </name>
    <name type="personal">
        <namePart type="given">Ningyu</namePart>
        <namePart type="family">Zhang</namePart>
        <role>
            <roleTerm authority="marcrelator" type="text">author</roleTerm>
        </role>
    </name>
    <originInfo>
        <dateIssued>2023-07</dateIssued>
    </originInfo>
    <typeOfResource>text</typeOfResource>
    <relatedItem type="host">
        <titleInfo>
            <title>Proceedings of The Fourth Workshop on Simple and Efficient Natural Language Processing (SustaiNLP)</title>
        </titleInfo>
        <name type="personal">
            <namePart type="given">Nafise</namePart>
            <namePart type="family">Sadat Moosavi</namePart>
            <role>
                <roleTerm authority="marcrelator" type="text">editor</roleTerm>
            </role>
        </name>
        <name type="personal">
            <namePart type="given">Iryna</namePart>
            <namePart type="family">Gurevych</namePart>
            <role>
                <roleTerm authority="marcrelator" type="text">editor</roleTerm>
            </role>
        </name>
        <name type="personal">
            <namePart type="given">Yufang</namePart>
            <namePart type="family">Hou</namePart>
            <role>
                <roleTerm authority="marcrelator" type="text">editor</roleTerm>
            </role>
        </name>
        <name type="personal">
            <namePart type="given">Gyuwan</namePart>
            <namePart type="family">Kim</namePart>
            <role>
                <roleTerm authority="marcrelator" type="text">editor</roleTerm>
            </role>
        </name>
        <name type="personal">
            <namePart type="given">Young</namePart>
            <namePart type="given">Jin</namePart>
            <namePart type="family">Kim</namePart>
            <role>
                <roleTerm authority="marcrelator" type="text">editor</roleTerm>
            </role>
        </name>
        <name type="personal">
            <namePart type="given">Tal</namePart>
            <namePart type="family">Schuster</namePart>
            <role>
                <roleTerm authority="marcrelator" type="text">editor</roleTerm>
            </role>
        </name>
        <name type="personal">
            <namePart type="given">Ameeta</namePart>
            <namePart type="family">Agrawal</namePart>
            <role>
                <roleTerm authority="marcrelator" type="text">editor</roleTerm>
            </role>
        </name>
        <originInfo>
            <publisher>Association for Computational Linguistics</publisher>
            <place>
                <placeTerm type="text">Toronto, Canada (Hybrid)</placeTerm>
            </place>
        </originInfo>
        <genre authority="marcgt">conference publication</genre>
    </relatedItem>
    <identifier type="citekey">xu-etal-2023-unleash</identifier>
    <identifier type="doi">10.18653/v1/2023.sustainlp-1.13</identifier>
    <location>
        <url>https://aclanthology.org/2023.sustainlp-1.13</url>
    </location>
    <part>
        <date>2023-07</date>
        <extent unit="page">
            <start>190</start>
            <end>200</end>
        </extent>
    </part>
</mods>
</modsCollection>

%0 Conference Proceedings
%T How to Unleash the Power of Large Language Models for Few-shot Relation Extraction?
%A Xu, Xin
%A Zhu, Yuqi
%A Wang, Xiaohan
%A Zhang, Ningyu
%Y Sadat Moosavi, Nafise
%Y Gurevych, Iryna
%Y Hou, Yufang
%Y Kim, Gyuwan
%Y Kim, Young Jin
%Y Schuster, Tal
%Y Agrawal, Ameeta
%S Proceedings of The Fourth Workshop on Simple and Efficient Natural Language Processing (SustaiNLP)
%D 2023
%8 July
%I Association for Computational Linguistics
%C Toronto, Canada (Hybrid)
%F xu-etal-2023-unleash
%R 10.18653/v1/2023.sustainlp-1.13
%U https://aclanthology.org/2023.sustainlp-1.13
%U https://doi.org/10.18653/v1/2023.sustainlp-1.13
%P 190-200

Markdown (Informal)

[How to Unleash the Power of Large Language Models for Few-shot Relation Extraction?](https://aclanthology.org/2023.sustainlp-1.13) (Xu et al., sustainlp 2023)

• How to Unleash the Power of Large Language Models for Few-shot Relation Extraction? (Xu et al., sustainlp 2023)

ACL

• Xin Xu, Yuqi Zhu, Xiaohan Wang, and Ningyu Zhang. 2023. How to Unleash the Power of Large Language Models for Few-shot Relation Extraction?. In Proceedings of The Fourth Workshop on Simple and Efficient Natural Language Processing (SustaiNLP), pages 190–200, Toronto, Canada (Hybrid). Association for Computational Linguistics.