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

5 June 2023

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

8 / 8 papers shown

Title
Logistic Regression makes small LLMs strong and explainable "tens-of-shot" classifiers Marcus Buckmann Edward Hill 37 2 0 06 Aug 2024
CrossTune: Black-Box Few-Shot Classification with Label Enhancement Danqing Luo Chen Zhang Yan Zhang Haizhou Li 32 2 0 19 Mar 2024
Generation-driven Contrastive Self-training for Zero-shot Text Classification with Instruction-following LLM Ruohong Zhang Yau-Shian Wang Yiming Yang SyDa 34 10 0 24 Apr 2023
Beyond Prompting: Making Pre-trained Language Models Better Zero-shot Learners by Clustering Representations Yu Fei Ping Nie Zhao Meng Roger Wattenhofer Mrinmaya Sachan VLM 47 20 0 29 Oct 2022
Weakly-supervised Text Classification Based on Keyword Graph Lu Zhang Jiandong Ding Yi Xu Yingyao Liu Shuigeng Zhou OffRL OOD 42 56 0 06 Oct 2021
Fantastically Ordered Prompts and Where to Find Them: Overcoming Few-Shot Prompt Order Sensitivity Yao Lu Max Bartolo Alastair Moore Sebastian Riedel Pontus Stenetorp AILaw LRM 279 1,124 0 18 Apr 2021
Efficient Intent Detection with Dual Sentence Encoders I. Casanueva Tadas Temvcinas D. Gerz Matthew Henderson Ivan Vulić VLM 180 453 0 10 Mar 2020
Exploiting Cloze Questions for Few Shot Text Classification and Natural Language Inference Timo Schick Hinrich Schütze 258 1,589 0 21 Jan 2020