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. 2404.12283
  4. Cited By
Enhancing Embedding Performance through Large Language Model-based Text
  Enrichment and Rewriting

Enhancing Embedding Performance through Large Language Model-based Text Enrichment and Rewriting

18 April 2024
Nicholas Harris
Anand Butani
Syed Hashmy
ArXivPDFHTML

Papers citing "Enhancing Embedding Performance through Large Language Model-based Text Enrichment and Rewriting"

2 / 2 papers shown
Title
An Open-Source Dual-Loss Embedding Model for Semantic Retrieval in Higher Education
An Open-Source Dual-Loss Embedding Model for Semantic Retrieval in Higher Education
Ramteja Sajja
Y. Sermet
Ibrahim Demir
51
0
0
08 May 2025
Efficient Estimation of Word Representations in Vector Space
Efficient Estimation of Word Representations in Vector Space
Tomáš Mikolov
Kai Chen
G. Corrado
J. Dean
3DV
228
31,244
0
16 Jan 2013
1