Are Large Language Models Effective in Clinical Trial Design? A Study on Baseline Feature Generation

Nafis Neehal; Bowen Wang; Shayom Debopadhaya; Corey Curran; Keerthiram Murugesan; Soham Dan; Vibha Anand; Kristin Bennett

doi:10.18653/v1/2025.findings-naacl.308

Are Large Language Models Effective in Clinical Trial Design? A Study on Baseline Feature Generation

Nafis Neehal, Bowen Wang, Shayom Debopadhaya, Corey Curran, Keerthiram Murugesan, Soham Dan, Vibha Anand, Kristin Bennett

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.findings-naacl.308
Volume:: Findings of the Association for Computational Linguistics: NAACL 2025
Month:: April
Year:: 2025
Address:: Albuquerque, New Mexico
Editors:: Luis Chiruzzo, Alan Ritter, Lu Wang
Venue:: Findings
SIG:
Publisher:: Association for Computational Linguistics
Note:
Pages:: 5557–5570
Language:
URL:: https://aclanthology.org/2025.findings-naacl.308/
DOI:: 10.18653/v1/2025.findings-naacl.308
Bibkey:
Cite (ACL):: Nafis Neehal, Bowen Wang, Shayom Debopadhaya, Corey Curran, Keerthiram Murugesan, Soham Dan, Vibha Anand, and Kristin Bennett. 2025. Are Large Language Models Effective in Clinical Trial Design? A Study on Baseline Feature Generation. In Findings of the Association for Computational Linguistics: NAACL 2025, pages 5557–5570, Albuquerque, New Mexico. Association for Computational Linguistics.
Cite (Informal):: Are Large Language Models Effective in Clinical Trial Design? A Study on Baseline Feature Generation (Neehal et al., Findings 2025)
Copy Citation:
PDF:: https://aclanthology.org/2025.findings-naacl.308.pdf

PDF Cite Search Fix data

Export citation

BibTeX
MODS XML
Endnote
Preformatted

@inproceedings{neehal-etal-2025-large,
    title = "Are Large Language Models Effective in Clinical Trial Design? A Study on Baseline Feature Generation",
    author = "Neehal, Nafis  and
      Wang, Bowen  and
      Debopadhaya, Shayom  and
      Curran, Corey  and
      Murugesan, Keerthiram  and
      Dan, Soham  and
      Anand, Vibha  and
      Bennett, Kristin",
    editor = "Chiruzzo, Luis  and
      Ritter, Alan  and
      Wang, Lu",
    booktitle = "Findings of the Association for Computational Linguistics: NAACL 2025",
    month = apr,
    year = "2025",
    address = "Albuquerque, New Mexico",
    publisher = "Association for Computational Linguistics",
    url = "https://aclanthology.org/2025.findings-naacl.308/",
    doi = "10.18653/v1/2025.findings-naacl.308",
    pages = "5557--5570",
    ISBN = "979-8-89176-195-7"
}

Download as File

<?xml version="1.0" encoding="UTF-8"?>
<modsCollection xmlns="http://www.loc.gov/mods/v3">
<mods ID="neehal-etal-2025-large">
    <titleInfo>
        <title>Are Large Language Models Effective in Clinical Trial Design? A Study on Baseline Feature Generation</title>
    </titleInfo>
    <name type="personal">
        <namePart type="given">Nafis</namePart>
        <namePart type="family">Neehal</namePart>
        <role>
            <roleTerm authority="marcrelator" type="text">author</roleTerm>
        </role>
    </name>
    <name type="personal">
        <namePart type="given">Bowen</namePart>
        <namePart type="family">Wang</namePart>
        <role>
            <roleTerm authority="marcrelator" type="text">author</roleTerm>
        </role>
    </name>
    <name type="personal">
        <namePart type="given">Shayom</namePart>
        <namePart type="family">Debopadhaya</namePart>
        <role>
            <roleTerm authority="marcrelator" type="text">author</roleTerm>
        </role>
    </name>
    <name type="personal">
        <namePart type="given">Corey</namePart>
        <namePart type="family">Curran</namePart>
        <role>
            <roleTerm authority="marcrelator" type="text">author</roleTerm>
        </role>
    </name>
    <name type="personal">
        <namePart type="given">Keerthiram</namePart>
        <namePart type="family">Murugesan</namePart>
        <role>
            <roleTerm authority="marcrelator" type="text">author</roleTerm>
        </role>
    </name>
    <name type="personal">
        <namePart type="given">Soham</namePart>
        <namePart type="family">Dan</namePart>
        <role>
            <roleTerm authority="marcrelator" type="text">author</roleTerm>
        </role>
    </name>
    <name type="personal">
        <namePart type="given">Vibha</namePart>
        <namePart type="family">Anand</namePart>
        <role>
            <roleTerm authority="marcrelator" type="text">author</roleTerm>
        </role>
    </name>
    <name type="personal">
        <namePart type="given">Kristin</namePart>
        <namePart type="family">Bennett</namePart>
        <role>
            <roleTerm authority="marcrelator" type="text">author</roleTerm>
        </role>
    </name>
    <originInfo>
        <dateIssued>2025-04</dateIssued>
    </originInfo>
    <typeOfResource>text</typeOfResource>
    <relatedItem type="host">
        <titleInfo>
            <title>Findings of the Association for Computational Linguistics: NAACL 2025</title>
        </titleInfo>
        <name type="personal">
            <namePart type="given">Luis</namePart>
            <namePart type="family">Chiruzzo</namePart>
            <role>
                <roleTerm authority="marcrelator" type="text">editor</roleTerm>
            </role>
        </name>
        <name type="personal">
            <namePart type="given">Alan</namePart>
            <namePart type="family">Ritter</namePart>
            <role>
                <roleTerm authority="marcrelator" type="text">editor</roleTerm>
            </role>
        </name>
        <name type="personal">
            <namePart type="given">Lu</namePart>
            <namePart type="family">Wang</namePart>
            <role>
                <roleTerm authority="marcrelator" type="text">editor</roleTerm>
            </role>
        </name>
        <originInfo>
            <publisher>Association for Computational Linguistics</publisher>
            <place>
                <placeTerm type="text">Albuquerque, New Mexico</placeTerm>
            </place>
        </originInfo>
        <genre authority="marcgt">conference publication</genre>
        <identifier type="isbn">979-8-89176-195-7</identifier>
    </relatedItem>
    <identifier type="citekey">neehal-etal-2025-large</identifier>
    <identifier type="doi">10.18653/v1/2025.findings-naacl.308</identifier>
    <location>
        <url>https://aclanthology.org/2025.findings-naacl.308/</url>
    </location>
    <part>
        <date>2025-04</date>
        <extent unit="page">
            <start>5557</start>
            <end>5570</end>
        </extent>
    </part>
</mods>
</modsCollection>

Download as File

%0 Conference Proceedings
%T Are Large Language Models Effective in Clinical Trial Design? A Study on Baseline Feature Generation
%A Neehal, Nafis
%A Wang, Bowen
%A Debopadhaya, Shayom
%A Curran, Corey
%A Murugesan, Keerthiram
%A Dan, Soham
%A Anand, Vibha
%A Bennett, Kristin
%Y Chiruzzo, Luis
%Y Ritter, Alan
%Y Wang, Lu
%S Findings of the Association for Computational Linguistics: NAACL 2025
%D 2025
%8 April
%I Association for Computational Linguistics
%C Albuquerque, New Mexico
%@ 979-8-89176-195-7
%F neehal-etal-2025-large
%R 10.18653/v1/2025.findings-naacl.308
%U https://aclanthology.org/2025.findings-naacl.308/
%U https://doi.org/10.18653/v1/2025.findings-naacl.308
%P 5557-5570

Download as File

Markdown (Informal)

[Are Large Language Models Effective in Clinical Trial Design? A Study on Baseline Feature Generation](https://aclanthology.org/2025.findings-naacl.308/) (Neehal et al., Findings 2025)

Are Large Language Models Effective in Clinical Trial Design? A Study on Baseline Feature Generation (Neehal et al., Findings 2025)

ACL

Nafis Neehal, Bowen Wang, Shayom Debopadhaya, Corey Curran, Keerthiram Murugesan, Soham Dan, Vibha Anand, and Kristin Bennett. 2025. Are Large Language Models Effective in Clinical Trial Design? A Study on Baseline Feature Generation. In Findings of the Association for Computational Linguistics: NAACL 2025, pages 5557–5570, Albuquerque, New Mexico. Association for Computational Linguistics.