ResearchTrend.AI
  • Papers
  • Communities
  • Events
  • Blog
  • Pricing
Papers
Communities
Social Events
Terms and Conditions
Pricing
Parameter LabParameter LabTwitterGitHubLinkedInBlueskyYoutube

© 2025 ResearchTrend.AI, All rights reserved.

  1. Home
  2. Papers
  3. 2310.03666
  4. Cited By
MapperGPT: Large Language Models for Linking and Mapping Entities

MapperGPT: Large Language Models for Linking and Mapping Entities

5 October 2023
N. A. Matentzoglu
J. H. Caufield
Harshad B. Hegde
Justin P Reese
Sierra A T Moxon
Hyeongsik Kim
N. Harris
M. Haendel
Christopher J. Mungall
ArXivPDFHTML

Papers citing "MapperGPT: Large Language Models for Linking and Mapping Entities"

3 / 3 papers shown
Title
Exploring a Large Language Model for Transforming Taxonomic Data into OWL: Lessons Learned and Implications for Ontology Development
Exploring a Large Language Model for Transforming Taxonomic Data into OWL: Lessons Learned and Implications for Ontology Development
Filipi Miranda Soares
Antonio Mauro Saraiva
Luís Ferreira Pires
Luiz Olavo Bonino da Silva Santos
Dilvan de Abreu Moreira
Fernando Elias Corrêa
Kelly Rosa Braghetto
Debora Pignatari Drucker
Alexandre Cláudio Botazzo Delbem
19
0
0
25 Apr 2025
Generalizable and Scalable Multistage Biomedical Concept Normalization
  Leveraging Large Language Models
Generalizable and Scalable Multistage Biomedical Concept Normalization Leveraging Large Language Models
Nicholas J. Dobbins
27
2
0
24 May 2024
Structured prompt interrogation and recursive extraction of semantics
  (SPIRES): A method for populating knowledge bases using zero-shot learning
Structured prompt interrogation and recursive extraction of semantics (SPIRES): A method for populating knowledge bases using zero-shot learning
J. H. Caufield
Harshad B. Hegde
Vincent Emonet
N. Harris
marcin p. joachimiak
...
Sierra A T Moxon
Justin P Reese
M. Haendel
Peter N. Robinson
Christopher J. Mungall
16
74
0
05 Apr 2023
1