Bidirectional Language Models Are Also Few-shot Learners

Bidirectional Language Models Are Also Few-shot Learners

29 September 2022

Ajay Patel

Mohammad Sadegh Rasooli

Chris Callison-Burch

Papers citing "Bidirectional Language Models Are Also Few-shot Learners"

10 / 10 papers shown

Title
RAGent: Retrieval-based Access Control Policy Generation Sakuna Jayasundara N. Arachchilage Giovanni Russello 30 1 0 08 Sep 2024
Putting People in LLMs' Shoes: Generating Better Answers via Question Rewriter Junhao Chen Bowen Wang Zhouqiang Jiang Yuta Nakashima 31 1 0 20 Aug 2024
Diffusion Language Models Can Perform Many Tasks with Scaling and Instruction-Finetuning Jiasheng Ye Zaixiang Zheng Yu Bao Lihua Qian Quanquan Gu DiffM 46 14 0 23 Aug 2023
RAVEN: In-Context Learning with Retrieval-Augmented Encoder-Decoder Language Models Jie Huang Wei Ping Peng-Tao Xu M. Shoeybi Kevin Chen-Chuan Chang Bryan Catanzaro RALM 19 33 0 15 Aug 2023
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
Multitask Prompted Training Enables Zero-Shot Task Generalization Victor Sanh Albert Webson Colin Raffel Stephen H. Bach Lintang Sutawika ... T. Bers Stella Biderman Leo Gao Thomas Wolf Alexander M. Rush LRM 203 1,651 0 15 Oct 2021
The Power of Scale for Parameter-Efficient Prompt Tuning Brian Lester Rami Al-Rfou Noah Constant VPVLM 275 3,784 0 18 Apr 2021
Scaling Laws for Neural Language Models Jared Kaplan Sam McCandlish T. Henighan Tom B. Brown B. Chess R. Child Scott Gray Alec Radford Jeff Wu Dario Amodei 220 3,054 0 23 Jan 2020
Exploiting Cloze Questions for Few Shot Text Classification and Natural Language Inference Timo Schick Hinrich Schütze 248 1,382 0 21 Jan 2020
Teaching Machines to Read and Comprehend Karl Moritz Hermann Tomás Kociský Edward Grefenstette L. Espeholt W. Kay Mustafa Suleyman Phil Blunsom 167 3,504 0 10 Jun 2015