Skip to content
Descubridor Institucional UMAR
Inicio
Búsqueda avanzada
Explorar
Inicio
Búsqueda avanzada
Explorar
Login
Language
English
Deutsch
Español
Français
Italiano
All Fields
Title
Author
Subject
Call Number
ISBN/ISSN
Tag
Find
Advanced
Identifying Key Terms in Prompts for Relevance Evaluation with GPT Models
Identifying Key Terms in Prompts for Relevance Evaluation with GPT Models
Fuente:
Zenodo
Saved in:
Bibliographic Details
Main Author:
Jaekeol, Choi
Format:
Recurso digital
Published:
Zenodo
2026
Online Access:
Acceder al recurso
Tags:
Add Tag
No Tags, Be the first to tag this record!
Cite this
Text this
Email this
Print
Export Record
Export to RefWorks
Export to EndNoteWeb
Export to EndNote
Save to List
Permanent link
Holdings
Description
Comments
Similar Items
Staff View
Internet
https://doi.org/10.5281/zenodo.18241810
Similar Items
Identifying Key Terms in Prompts for Relevance Evaluation with GPT Models
by: Choi, Jaekeol
Published: (2024)
On-Off Pattern Encoding and Path-Count Encoding as Deep Neural Network Representations
by: Jung, Euna, et al.
Published: (2024)
DePrompt: Desensitization and Evaluation of Personal Identifiable Information in Large Language Model Prompts
by: Sun, Xiongtao, et al.
Published: (2024)
Focus, Don't Prune: Identifying Instruction-Relevant Regions for Information-Rich Image Understanding
by: Kwon, Mincheol, et al.
Published: (2026)
Disintermediation in the Year 2010: Using Scenarios To Identify Key Issues and Relevance of IMPEL2 eLib Project.
by: Edwards, Catherine, et al.
Published: (1996)