CrossTune: Black-Box Few-Shot Classification with Label Enhancement

CrossTune: Black-Box Few-Shot Classification with Label Enhancement

19 March 2024

Chen Zhang

Haizhou Li

Papers citing "CrossTune: Black-Box Few-Shot Classification with Label Enhancement"

7 / 7 papers shown

Title
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 35 20 0 29 Oct 2022
Training language models to follow instructions with human feedback Long Ouyang Jeff Wu Xu Jiang Diogo Almeida Carroll L. Wainwright ... Amanda Askell Peter Welinder Paul Christiano Jan Leike Ryan J. Lowe OSLM ALM 301 11,730 0 04 Mar 2022
Weakly-supervised Text Classification Based on Keyword Graph Lu Zhang Jiandong Ding Yi Xu Yingyao Liu Shuigeng Zhou OffRL OOD 36 57 0 06 Oct 2021
The Power of Scale for Parameter-Efficient Prompt Tuning Brian Lester Rami Al-Rfou Noah Constant VPVLM 278 3,784 0 18 Apr 2021
Making Pre-trained Language Models Better Few-shot Learners Tianyu Gao Adam Fisch Danqi Chen 241 1,898 0 31 Dec 2020
Exploiting Cloze Questions for Few Shot Text Classification and Natural Language Inference Timo Schick Hinrich Schütze 256 1,584 0 21 Jan 2020
GLUE: A Multi-Task Benchmark and Analysis Platform for Natural Language Understanding Alex Jinpeng Wang Amanpreet Singh Julian Michael Felix Hill Omer Levy Samuel R. Bowman ELM 294 6,927 0 20 Apr 2018