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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
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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
Marcus Buckmann
Edward Hill
155
3
0
06 Aug 2024
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
Conference 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
I. Casanueva
Tadas Temvcinas
D. Gerz
Matthew Henderson
Ivan Vulić
VLM
558
541
0
10 Mar 2020
1