True Few-Shot Learning with Prompts -- A Real-World Perspective

26 November 2021

Papers citing "True Few-Shot Learning with Prompts -- A Real-World Perspective"

25 / 25 papers shown

Title
An Empirically-grounded tool for Automatic Prompt Linting and Repair: A Case Study on Bias, Vulnerability, and Optimization in Developer Prompts Dhia Elhaq Rzig Dhruba Jyoti Paul Kaiser Pister Jordan Henkel Foyzul Hassan 80 0 0 21 Jan 2025
Deep Natural Language Feature Learning for Interpretable Prediction Felipe Urrutia Cristian Buc Valentin Barriere 26 1 0 09 Nov 2023
Weakly Supervised Text Classification on Free Text Comments in Patient-Reported Outcome Measures Anna-Grace Linton Vania Dimitrova A. Downing Richard Wagland A. Glaser 27 2 0 11 Aug 2023
Automated Few-shot Classification with Instruction-Finetuned Language Models Rami Aly Xingjian Shi Kaixiang Lin Aston Zhang A. Wilson 38 9 0 21 May 2023
Evaluating the Robustness of Discrete Prompts Yoichi Ishibashi Danushka Bollegala Katsuhito Sudoh Satoshi Nakamura 23 18 0 11 Feb 2023
Task Bias in Vision-Language Models Sachit Menon I. Chandratreya Carl Vondrick VLM SSL 22 6 0 08 Dec 2022
Towards Practical Few-shot Federated NLP Dongqi Cai Yaozong Wu Haitao Yuan Shangguang Wang F. Lin Mengwei Xu FedML 36 6 0 01 Dec 2022
Performance-Efficiency Trade-Offs in Adapting Language Models to Text Classification Tasks Laura Aina Nikos Voskarides Roi Blanco 16 0 0 21 Oct 2022
Efficient Few-Shot Learning Without Prompts Lewis Tunstall Nils Reimers Unso Eun Seo Jo Luke Bates Daniel Korat Moshe Wasserblat Oren Pereg VLM 34 182 0 22 Sep 2022
BioTABQA: Instruction Learning for Biomedical Table Question Answering Man Luo S. Saxena Swaroop Mishra Mihir Parmar Chitta Baral LMTD 157 15 0 06 Jul 2022
On the Limitations of Dataset Balancing: The Lost Battle Against Spurious Correlations Roy Schwartz Gabriel Stanovsky 32 25 0 27 Apr 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 213 1,657 0 15 Oct 2021
RAFT: A Real-World Few-Shot Text Classification Benchmark Neel Alex Eli Lifland Lewis Tunstall A. Thakur Pegah Maham ... Carolyn Ashurst Paul Sedille A. Carlier M. Noetel Andreas Stuhlmuller RALM 184 56 0 28 Sep 2021
FLEX: Unifying Evaluation for Few-Shot NLP Jonathan Bragg Arman Cohan Kyle Lo Iz Beltagy 205 104 0 15 Jul 2021
CrossFit: A Few-shot Learning Challenge for Cross-task Generalization in NLP Qinyuan Ye Bill Yuchen Lin Xiang Ren 214 180 0 18 Apr 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
The Power of Scale for Parameter-Efficient Prompt Tuning Brian Lester Rami Al-Rfou Noah Constant VPVLM 280 3,848 0 18 Apr 2021
Self-Diagnosis and Self-Debiasing: A Proposal for Reducing Corpus-Based Bias in NLP Timo Schick Sahana Udupa Hinrich Schütze 259 374 0 28 Feb 2021
Measuring and Improving Consistency in Pretrained Language Models Yanai Elazar Nora Kassner Shauli Ravfogel Abhilasha Ravichander Eduard H. Hovy Hinrich Schütze Yoav Goldberg HILM 269 346 0 01 Feb 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 1,919 0 31 Dec 2020
Calibration of Pre-trained Transformers Shrey Desai Greg Durrett UQLM 243 289 0 17 Mar 2020
Data Augmentation using Pre-trained Transformer Models Varun Kumar Ashutosh Choudhary Eunah Cho VLM 216 315 0 04 Mar 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