Pre-trained Language Models Can be Fully Zero-Shot Learners

Pre-trained Language Models Can be Fully Zero-Shot Learners

14 December 2022

Lei Li

Papers citing "Pre-trained Language Models Can be Fully Zero-Shot Learners"

9 / 9 papers shown

Title
T3: A Novel Zero-shot Transfer Learning Framework Iteratively Training on an Assistant Task for a Target Task Xindi Tong Yujin Zhu Shijian Fan Liang Xu 38 1 0 26 Sep 2024
TELEClass: Taxonomy Enrichment and LLM-Enhanced Hierarchical Text Classification with Minimal Supervision Yunyi Zhang Ruozhen Yang Xueqiang Xu Rui Li Jinfeng Xiao Jiaming Shen Jiawei Han 30 9 0 29 Feb 2024
Zero-shot Retrieval: Augmenting Pre-trained Models with Search Engines Hamed Damirchi Cristian Rodriguez-Opazo Ehsan Abbasnejad Damien Teney Javen Qinfeng Shi Stephen Gould A. Hengel VLM 9 0 0 29 Nov 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 27 20 0 29 Oct 2022
Chain-of-Thought Prompting Elicits Reasoning in Large Language Models Jason W. Wei Xuezhi Wang Dale Schuurmans Maarten Bosma Brian Ichter F. Xia Ed H. Chi Quoc Le Denny Zhou LM&Ro LRM AI4CE ReLM 315 8,261 0 28 Jan 2022
Making Pre-trained Language Models Better Few-shot Learners Tianyu Gao Adam Fisch Danqi Chen 238 1,898 0 31 Dec 2020
Exploiting Cloze Questions for Few Shot Text Classification and Natural Language Inference Timo Schick Hinrich Schütze 248 1,382 0 21 Jan 2020
Language Models as Knowledge Bases? Fabio Petroni Tim Rocktaschel Patrick Lewis A. Bakhtin Yuxiang Wu Alexander H. Miller Sebastian Riedel KELM AI4MH 393 2,216 0 03 Sep 2019
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