Prompt-Based Bias Calibration for Better Zero/Few-Shot Learning of Language Models

15 February 2024

Papers citing "Prompt-Based Bias Calibration for Better Zero/Few-Shot Learning of Language Models"

20 / 20 papers shown

Title
Contrastive Learning for Prompt-Based Few-Shot Language Learners Yiren Jian Chongyang Gao Soroush Vosoughi VLM 39 33 0 03 May 2022
PaLM: Scaling Language Modeling with Pathways Aakanksha Chowdhery Sharan Narang Jacob Devlin Maarten Bosma Gaurav Mishra ... Kathy Meier-Hellstern Douglas Eck J. Dean Slav Petrov Noah Fiedel PILM LRM 418 6,202 0 05 Apr 2022
NoisyTune: A Little Noise Can Help You Finetune Pretrained Language Models Better Chuhan Wu Fangzhao Wu Tao Qi Yongfeng Huang Xing Xie 32 60 0 24 Feb 2022
TimeLMs: Diachronic Language Models from Twitter Daniel Loureiro Francesco Barbieri Leonardo Neves Luis Espinosa Anke Jose Camacho-Collados 95 255 0 08 Feb 2022
LaMDA: Language Models for Dialog Applications R. Thoppilan Daniel De Freitas Jamie Hall Noam M. Shazeer Apoorv Kulshreshtha ... Blaise Aguera-Arcas Claire Cui M. Croak Ed H. Chi Quoc Le ALM 122 1,589 0 20 Jan 2022
Noisy Channel Language Model Prompting for Few-Shot Text Classification Sewon Min Michael Lewis Hannaneh Hajishirzi Luke Zettlemoyer VLM 70 219 0 09 Aug 2021
Process for Adapting Language Models to Society (PALMS) with Values-Targeted Datasets Irene Solaiman Christy Dennison 82 224 0 18 Jun 2021
BitFit: Simple Parameter-efficient Fine-tuning for Transformer-based Masked Language-models Elad Ben-Zaken Shauli Ravfogel Yoav Goldberg 158 1,216 0 18 Jun 2021
The Power of Scale for Parameter-Efficient Prompt Tuning Brian Lester Rami Al-Rfou Noah Constant VPVLM 509 4,021 0 18 Apr 2021
Surface Form Competition: Why the Highest Probability Answer Isn't Always Right Ari Holtzman Peter West Vered Schwartz Yejin Choi Luke Zettlemoyer LRM 92 236 0 16 Apr 2021
Debiasing Pre-trained Contextualised Embeddings Masahiro Kaneko Danushka Bollegala 235 142 0 23 Jan 2021
Prefix-Tuning: Optimizing Continuous Prompts for Generation Xiang Lisa Li Percy Liang 213 4,238 0 01 Jan 2021
It's Not Just Size That Matters: Small Language Models Are Also Few-Shot Learners Timo Schick Hinrich Schütze 107 972 0 15 Sep 2020
Exploiting Cloze Questions for Few Shot Text Classification and Natural Language Inference Timo Schick Hinrich Schütze 326 1,613 0 21 Jan 2020
PyTorch: An Imperative Style, High-Performance Deep Learning Library Adam Paszke Sam Gross Francisco Massa Adam Lerer James Bradbury ... Sasank Chilamkurthy Benoit Steiner Lu Fang Junjie Bai Soumith Chintala ODL 359 42,299 0 03 Dec 2019
Simple, Scalable Adaptation for Neural Machine Translation Ankur Bapna N. Arivazhagan Orhan Firat AI4CE 92 416 0 18 Sep 2019
RoBERTa: A Robustly Optimized BERT Pretraining Approach Yinhan Liu Myle Ott Naman Goyal Jingfei Du Mandar Joshi Danqi Chen Omer Levy M. Lewis Luke Zettlemoyer Veselin Stoyanov AIMat 516 24,351 0 26 Jul 2019
A Broad-Coverage Challenge Corpus for Sentence Understanding through Inference Adina Williams Nikita Nangia Samuel R. Bowman 495 4,473 0 18 Apr 2017
Pointer Sentinel Mixture Models Stephen Merity Caiming Xiong James Bradbury R. Socher RALM 262 2,844 0 26 Sep 2016
A large annotated corpus for learning natural language inference Samuel R. Bowman Gabor Angeli Christopher Potts Christopher D. Manning 282 4,280 0 21 Aug 2015