Pre-trained Token-replaced Detection Model as Few-shot Learner

7 March 2022

Papers citing "Pre-trained Token-replaced Detection Model as Few-shot Learner"

12 / 12 papers shown

Title
Reformulating NLP tasks to Capture Longitudinal Manifestation of Language Disorders in People with Dementia Dimitris Gkoumas Matthew Purver M. Liakata 31 1 0 15 Oct 2023
PIEClass: Weakly-Supervised Text Classification with Prompting and Noise-Robust Iterative Ensemble Training Yunyi Zhang Minhao Jiang Yu Meng Yu Zhang Jiawei Han NoLa 48 12 0 23 May 2023
Let Me Check the Examples: Enhancing Demonstration Learning via Explicit Imitation Sirui Wang Kaiwen Wei Hongzhi Zhang Yun Li Wei Wu 34 2 0 31 Aug 2022
ELECTRA is a Zero-Shot Learner, Too Shiwen Ni Hung-Yu kao 27 9 0 17 Jul 2022
Prompting ELECTRA: Few-Shot Learning with Discriminative Pre-Trained Models Mengzhou Xia Mikel Artetxe Jingfei Du Danqi Chen Ves Stoyanov 26 6 0 30 May 2022
ASR Rescoring and Confidence Estimation with ELECTRA Hayato Futami Hirofumi Inaguma Masato Mimura S. Sakai Tatsuya Kawahara KELM 62 20 0 05 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
What Makes Good In-Context Examples for GPT- $3$ ? Jiachang Liu Dinghan Shen Yizhe Zhang Bill Dolan Lawrence Carin Weizhu Chen AAML RALM 275 1,312 0 17 Jan 2021
WARP: Word-level Adversarial ReProgramming Karen Hambardzumyan Hrant Khachatrian Jonathan May AAML 254 342 0 01 Jan 2021
Making Pre-trained Language Models Better Few-shot Learners Tianyu Gao Adam Fisch Danqi Chen 243 1,924 0 31 Dec 2020
Exploiting Cloze Questions for Few Shot Text Classification and Natural Language Inference Timo Schick Hinrich Schütze 258 1,589 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 297 6,959 0 20 Apr 2018