Natural Language Inference as a Judge: Detecting Factuality and Causality Issues in Language Model Self-Reasoning for Financial Analysis

Yilin Wu; Han Yuan; Li Zhang; Zheng Ma

Natural Language Inference as a Judge: Detecting Factuality and Causality Issues in Language Model Self-Reasoning for Financial Analysis

Correct Metadata for

Important: The Anthology treat PDFs as authoritative. Please use this form only to correct data that is out of line with the PDF. See our corrections guidelines if you need to change the PDF.

Title Adjust the title. Retain tags such as <fixed-case>.

Authors Adjust author names and order to match the PDF.

Abstract Correct abstract if needed. Retain XML formatting tags such as <tex-math>.

Verification against PDF Ensure that the new title/authors match the snapshot below. (If there is no snapshot or it is too small, consult the PDF.)

Authors concatenated from the text boxes above:

ALL author names match the snapshot above—including middle initials, hyphens, and accents.

Anthology ID:: 2025.finnlp-2.14
Volume:: Proceedings of The 10th Workshop on Financial Technology and Natural Language Processing
Month:: November
Year:: 2025
Address:: Suzhou, China
Editors:: Chung-Chi Chen, Genta Indra Winata, Stephen Rawls, Anirban Das, Hsin-Hsi Chen, Hiroya Takamura
Venue:: FinNLP
SIG:
Publisher:: Association for Computational Linguistics
Note:
Pages:: 210–220
Language:
URL:: https://aclanthology.org/2025.finnlp-2.14/
DOI:
Bibkey:
Cite (ACL):: Yilin Wu, Han Yuan, Li Zhang, and Zheng Ma. 2025. Natural Language Inference as a Judge: Detecting Factuality and Causality Issues in Language Model Self-Reasoning for Financial Analysis. In Proceedings of The 10th Workshop on Financial Technology and Natural Language Processing, pages 210–220, Suzhou, China. Association for Computational Linguistics.
Cite (Informal):: Natural Language Inference as a Judge: Detecting Factuality and Causality Issues in Language Model Self-Reasoning for Financial Analysis (Wu et al., FinNLP 2025)
Copy Citation:
PDF:: https://aclanthology.org/2025.finnlp-2.14.pdf

PDF Cite Search Fix data

Export citation

BibTeX
MODS XML
Endnote
Preformatted

@inproceedings{wu-etal-2025-natural,
    title = "Natural Language Inference as a Judge: Detecting Factuality and Causality Issues in Language Model Self-Reasoning for Financial Analysis",
    author = "Wu, Yilin  and
      Yuan, Han  and
      Zhang, Li  and
      Ma, Zheng",
    editor = "Chen, Chung-Chi  and
      Winata, Genta Indra  and
      Rawls, Stephen  and
      Das, Anirban  and
      Chen, Hsin-Hsi  and
      Takamura, Hiroya",
    booktitle = "Proceedings of The 10th Workshop on Financial Technology and Natural Language Processing",
    month = nov,
    year = "2025",
    address = "Suzhou, China",
    publisher = "Association for Computational Linguistics",
    url = "https://aclanthology.org/2025.finnlp-2.14/",
    pages = "210--220"
}

Download as File

<?xml version="1.0" encoding="UTF-8"?>
<modsCollection xmlns="http://www.loc.gov/mods/v3">
<mods ID="wu-etal-2025-natural">
    <titleInfo>
        <title>Natural Language Inference as a Judge: Detecting Factuality and Causality Issues in Language Model Self-Reasoning for Financial Analysis</title>
    </titleInfo>
    <name type="personal">
        <namePart type="given">Yilin</namePart>
        <namePart type="family">Wu</namePart>
        <role>
            <roleTerm authority="marcrelator" type="text">author</roleTerm>
        </role>
    </name>
    <name type="personal">
        <namePart type="given">Han</namePart>
        <namePart type="family">Yuan</namePart>
        <role>
            <roleTerm authority="marcrelator" type="text">author</roleTerm>
        </role>
    </name>
    <name type="personal">
        <namePart type="given">Li</namePart>
        <namePart type="family">Zhang</namePart>
        <role>
            <roleTerm authority="marcrelator" type="text">author</roleTerm>
        </role>
    </name>
    <name type="personal">
        <namePart type="given">Zheng</namePart>
        <namePart type="family">Ma</namePart>
        <role>
            <roleTerm authority="marcrelator" type="text">author</roleTerm>
        </role>
    </name>
    <originInfo>
        <dateIssued>2025-11</dateIssued>
    </originInfo>
    <typeOfResource>text</typeOfResource>
    <relatedItem type="host">
        <titleInfo>
            <title>Proceedings of The 10th Workshop on Financial Technology and Natural Language Processing</title>
        </titleInfo>
        <name type="personal">
            <namePart type="given">Chung-Chi</namePart>
            <namePart type="family">Chen</namePart>
            <role>
                <roleTerm authority="marcrelator" type="text">editor</roleTerm>
            </role>
        </name>
        <name type="personal">
            <namePart type="given">Genta</namePart>
            <namePart type="given">Indra</namePart>
            <namePart type="family">Winata</namePart>
            <role>
                <roleTerm authority="marcrelator" type="text">editor</roleTerm>
            </role>
        </name>
        <name type="personal">
            <namePart type="given">Stephen</namePart>
            <namePart type="family">Rawls</namePart>
            <role>
                <roleTerm authority="marcrelator" type="text">editor</roleTerm>
            </role>
        </name>
        <name type="personal">
            <namePart type="given">Anirban</namePart>
            <namePart type="family">Das</namePart>
            <role>
                <roleTerm authority="marcrelator" type="text">editor</roleTerm>
            </role>
        </name>
        <name type="personal">
            <namePart type="given">Hsin-Hsi</namePart>
            <namePart type="family">Chen</namePart>
            <role>
                <roleTerm authority="marcrelator" type="text">editor</roleTerm>
            </role>
        </name>
        <name type="personal">
            <namePart type="given">Hiroya</namePart>
            <namePart type="family">Takamura</namePart>
            <role>
                <roleTerm authority="marcrelator" type="text">editor</roleTerm>
            </role>
        </name>
        <originInfo>
            <publisher>Association for Computational Linguistics</publisher>
            <place>
                <placeTerm type="text">Suzhou, China</placeTerm>
            </place>
        </originInfo>
        <genre authority="marcgt">conference publication</genre>
    </relatedItem>
    <identifier type="citekey">wu-etal-2025-natural</identifier>
    <location>
        <url>https://aclanthology.org/2025.finnlp-2.14/</url>
    </location>
    <part>
        <date>2025-11</date>
        <extent unit="page">
            <start>210</start>
            <end>220</end>
        </extent>
    </part>
</mods>
</modsCollection>

Download as File

%0 Conference Proceedings
%T Natural Language Inference as a Judge: Detecting Factuality and Causality Issues in Language Model Self-Reasoning for Financial Analysis
%A Wu, Yilin
%A Yuan, Han
%A Zhang, Li
%A Ma, Zheng
%Y Chen, Chung-Chi
%Y Winata, Genta Indra
%Y Rawls, Stephen
%Y Das, Anirban
%Y Chen, Hsin-Hsi
%Y Takamura, Hiroya
%S Proceedings of The 10th Workshop on Financial Technology and Natural Language Processing
%D 2025
%8 November
%I Association for Computational Linguistics
%C Suzhou, China
%F wu-etal-2025-natural
%U https://aclanthology.org/2025.finnlp-2.14/
%P 210-220

Download as File

Markdown (Informal)

[Natural Language Inference as a Judge: Detecting Factuality and Causality Issues in Language Model Self-Reasoning for Financial Analysis](https://aclanthology.org/2025.finnlp-2.14/) (Wu et al., FinNLP 2025)

Natural Language Inference as a Judge: Detecting Factuality and Causality Issues in Language Model Self-Reasoning for Financial Analysis (Wu et al., FinNLP 2025)

ACL

Yilin Wu, Han Yuan, Li Zhang, and Zheng Ma. 2025. Natural Language Inference as a Judge: Detecting Factuality and Causality Issues in Language Model Self-Reasoning for Financial Analysis. In Proceedings of The 10th Workshop on Financial Technology and Natural Language Processing, pages 210–220, Suzhou, China. Association for Computational Linguistics.