ResearchTrend.AI
  • Communities
  • Connect sessions
  • AI calendar
  • Organizations
  • Join Slack
  • Contact Sales
Papers
Communities
Social Events
Terms and Conditions
Pricing
Contact Sales
Parameter LabParameter LabTwitterGitHubLinkedInBlueskyYoutube

© 2025 ResearchTrend.AI, All rights reserved.

  1. Home
  2. Papers
  3. 2306.02693
  4. Cited By
CELDA: Leveraging Black-box Language Model as Enhanced Classifier
  without Labels
v1v2 (latest)

CELDA: Leveraging Black-box Language Model as Enhanced Classifier without Labels

Annual Meeting of the Association for Computational Linguistics (ACL), 2023
5 June 2023
Hyunsoo Cho
Youna Kim
Sang-goo Lee
ArXiv (abs)PDFHTML

Papers citing "CELDA: Leveraging Black-box Language Model as Enhanced Classifier without Labels"

4 / 4 papers shown
Title
Logistic Regression makes small LLMs strong and explainable
  "tens-of-shot" classifiers
Logistic Regression makes small LLMs strong and explainable "tens-of-shot" classifiers
Marcus Buckmann
Edward Hill
155
3
0
06 Aug 2024
CrossTune: Black-Box Few-Shot Classification with Label Enhancement
CrossTune: Black-Box Few-Shot Classification with Label Enhancement
Danqing Luo
Chen Zhang
Yan Zhang
Haizhou Li
156
2
0
19 Mar 2024
Generation-driven Contrastive Self-training for Zero-shot Text
  Classification with Instruction-following LLM
Generation-driven Contrastive Self-training for Zero-shot Text Classification with Instruction-following LLMConference of the European Chapter of the Association for Computational Linguistics (EACL), 2023
Ruohong Zhang
Yau-Shian Wang
Yiming Yang
SyDa
130
16
0
24 Apr 2023
Efficient Intent Detection with Dual Sentence Encoders
Efficient Intent Detection with Dual Sentence Encoders
I. Casanueva
Tadas Temvcinas
D. Gerz
Matthew Henderson
Ivan Vulić
VLM
558
541
0
10 Mar 2020
1