<?xml version="1.0" encoding="UTF-8"?>
<modsCollection xmlns="http://www.loc.gov/mods/v3">
<mods ID="wang-etal-2025-hitsz">
    <titleInfo>
        <title>HITSZ-HLT at SemEval-2025 Task 8: Multi-turn Interactive Code Generation for Question Answering on Tabular Data</title>
    </titleInfo>
    <name type="personal">
        <namePart type="given">Jun</namePart>
        <namePart type="family">Wang</namePart>
        <role>
            <roleTerm authority="marcrelator" type="text">author</roleTerm>
        </role>
    </name>
    <name type="personal">
        <namePart type="given">Feng</namePart>
        <namePart type="family">Xiong</namePart>
        <role>
            <roleTerm authority="marcrelator" type="text">author</roleTerm>
        </role>
    </name>
    <name type="personal">
        <namePart type="given">Hongling</namePart>
        <namePart type="family">Xu</namePart>
        <role>
            <roleTerm authority="marcrelator" type="text">author</roleTerm>
        </role>
    </name>
    <name type="personal">
        <namePart type="given">Geng</namePart>
        <namePart type="family">Tu</namePart>
        <role>
            <roleTerm authority="marcrelator" type="text">author</roleTerm>
        </role>
    </name>
    <name type="personal">
        <namePart type="given">Ruifeng</namePart>
        <namePart type="family">Xu</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>This paper introduces the system developed by the HITSZ-HLT team for SemEval-2025 Task 8: DataBench, Question-Answering over Tabular Data.The primary objective of Table Question Answering (TableQA) is to provide accurate answers to user queries by interpreting and understanding tabular data. To address this, we propose the Multi-turn Interactive Code GeneratiOn(MICO) framework. Specifically, MICO employs code generation as proxy task for TableQA and integrates feedback from the execution of the generated code via multi-turn dialogue process, thereby guiding the model towards self-correction.Experimental results demonstrate the effectiveness of our framework, achieving notable performance with a rank of 4/38 on the DataBench and 5/38 on the DataBench lite.</abstract>
    <identifier type="citekey">wang-etal-2025-hitsz</identifier>
    <location>
        <url>https://aclanthology.org/2025.semeval-1.302/</url>
    </location>
    <part>
        <date>2025-07</date>
        <extent unit="page">
            <start>2318</start>
            <end>2324</end>
        </extent>
    </part>
</mods>
</modsCollection>

%0 Conference Proceedings
%T HITSZ-HLT at SemEval-2025 Task 8: Multi-turn Interactive Code Generation for Question Answering on Tabular Data
%A Wang, Jun
%A Xiong, Feng
%A Xu, Hongling
%A Tu, Geng
%A Xu, Ruifeng
%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 wang-etal-2025-hitsz
%X This paper introduces the system developed by the HITSZ-HLT team for SemEval-2025 Task 8: DataBench, Question-Answering over Tabular Data.The primary objective of Table Question Answering (TableQA) is to provide accurate answers to user queries by interpreting and understanding tabular data. To address this, we propose the Multi-turn Interactive Code GeneratiOn(MICO) framework. Specifically, MICO employs code generation as proxy task for TableQA and integrates feedback from the execution of the generated code via multi-turn dialogue process, thereby guiding the model towards self-correction.Experimental results demonstrate the effectiveness of our framework, achieving notable performance with a rank of 4/38 on the DataBench and 5/38 on the DataBench lite.
%U https://aclanthology.org/2025.semeval-1.302/
%P 2318-2324

Markdown (Informal)

[HITSZ-HLT at SemEval-2025 Task 8: Multi-turn Interactive Code Generation for Question Answering on Tabular Data](https://aclanthology.org/2025.semeval-1.302/) (Wang et al., SemEval 2025)

• HITSZ-HLT at SemEval-2025 Task 8: Multi-turn Interactive Code Generation for Question Answering on Tabular Data (Wang et al., SemEval 2025)

ACL

• Jun Wang, Feng Xiong, Hongling Xu, Geng Tu, and Ruifeng Xu. 2025. HITSZ-HLT at SemEval-2025 Task 8: Multi-turn Interactive Code Generation for Question Answering on Tabular Data. In Proceedings of the 19th International Workshop on Semantic Evaluation (SemEval-2025), pages 2318–2324, Vienna, Austria. Association for Computational Linguistics.