Evaluation of search-enabled pretrained Large Language Models on retrieval tasks for the PubChem database

Authors

Soha Hassoun (ORCID: https://orcid.org/0000-0001-9477-2199)
Ash Sze (ORCID: https://orcid.org/0000-0003-1650-8709)

Institutions

Tufts University (US)

Publication Details

Journal: Bioinformatics Advances
Published: 2024-12-26
DOI: https://doi.org/10.1093/bioadv/vbaf064
Primary Topic: Computational Drug Discovery Methods
Type: article
Field-Weighted Citation Impact: 0.00

Funders

National Institutes of Health
Multidisciplinary University Research Initiative

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article

Evaluation of search-enabled pretrained Large Language Models on retrieval tasks for the PubChem database

Soha Hassoun, Ash Sze

Dec 26, 2024

Bioinformatics Advances

Computational Drug Discovery Methods

article

Evaluation of search-enabled pretrained Large Language Models on retrieval tasks for the PubChem database

Soha Hassoun, Ash Sze

December 26, 2024article en

Abstract

No abstract available for this paper.

Bioinformatics AdvancesVol. 5(1)

Tufts University (US)

National Institutes of Health, Multidisciplinary University Research Initiative

Openalex Percentile: Top 68%

Computational Drug Discovery Methods

DOI Open Access PDF OpenAlex

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Evaluation of search-enabled pretrained Large Language Models on retrieval tasks for the PubChem database — Soha Hassoun, Ash Sze · Bioinformatics Advances (2024) | TGRS Research Map | TGRS