BayesPrompt: Prompting Large-Scale Pre-Trained Language Models on
Few-shot Inference via Debiased Domain Abstraction

BayesPrompt: Prompting Large-Scale Pre-Trained Language Models on Few-shot Inference via Debiased Domain Abstraction

25 January 2024

Jiangmeng Li

Papers citing "BayesPrompt: Prompting Large-Scale Pre-Trained Language Models on Few-shot Inference via Debiased Domain Abstraction"

15 / 15 papers shown

Title
Relation Extraction as Open-book Examination: Retrieval-enhanced Prompt Tuning Xiang Chen Lei Li Ningyu Zhang Chuanqi Tan Fei Huang Luo Si Huajun Chen RALM VLM 42 37 0 04 May 2022
How Pre-trained Language Models Capture Factual Knowledge? A Causal-Inspired Analysis Shaobo Li Xiaoguang Li Lifeng Shang Zhenhua Dong Chengjie Sun Bingquan Liu Zhenzhou Ji Xin Jiang Qun Liu KELM 55 53 0 31 Mar 2022
Robust Local Preserving and Global Aligning Network for Adversarial Domain Adaptation Jingyao Wang Jiangmeng Li C. Zheng Fuchun Sun Hui Xiong 24 25 0 08 Mar 2022
Fine-Tuning can Distort Pretrained Features and Underperform Out-of-Distribution Ananya Kumar Aditi Raghunathan Robbie Jones Tengyu Ma Percy Liang OODD 89 655 0 21 Feb 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 570 9,009 0 28 Jan 2022
PTR: Prompt Tuning with Rules for Text Classification Xu Han Weilin Zhao Ning Ding Zhiyuan Liu Maosong Sun VLM 79 519 0 24 May 2021
The Power of Scale for Parameter-Efficient Prompt Tuning Brian Lester Rami Al-Rfou Noah Constant VPVLM 445 3,952 0 18 Apr 2021
Re-TACRED: Addressing Shortcomings of the TACRED Dataset George Stoica Emmanouil Antonios Platanios Barnabas Poczos 60 115 0 16 Apr 2021
Prefix-Tuning: Optimizing Continuous Prompts for Generation Xiang Lisa Li Percy Liang 164 4,167 0 01 Jan 2021
Exploiting Cloze Questions for Few Shot Text Classification and Natural Language Inference Timo Schick Hinrich Schütze 298 1,606 0 21 Jan 2020
SpanBERT: Improving Pre-training by Representing and Predicting Spans Mandar Joshi Danqi Chen Yinhan Liu Daniel S. Weld Luke Zettlemoyer Omer Levy 109 1,953 0 24 Jul 2019
Matching the Blanks: Distributional Similarity for Relation Learning Livio Baldini Soares Nicholas FitzGerald Jeffrey Ling Tom Kwiatkowski 36 768 0 07 Jun 2019
Generalizing from a Few Examples: A Survey on Few-Shot Learning Yaqing Wang Quanming Yao James T. Kwok L. Ni 74 1,802 0 10 Apr 2019
Bayesian Model-Agnostic Meta-Learning Taesup Kim Jaesik Yoon Ousmane Amadou Dia Sungwoong Kim Yoshua Bengio Sungjin Ahn UQCV BDL 269 499 0 11 Jun 2018
Stein Variational Gradient Descent: A General Purpose Bayesian Inference Algorithm Qiang Liu Dilin Wang BDL 61 1,082 0 16 Aug 2016