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plamtral

PLaMTraL - A transfer learning library for pre-trained language models

poisoned-prompt-tuning

This is the implementation of our paper 'PPT：Bakcdoor Attacks on Pre-trained Models via Poisoned Prompt Tuning', accepted by the IJCAI 2022.

potholes-detection

powerfulpromptft

This is the repository for the paper titled "Don’t Stop Pretraining? Make Prompt-based Fine-tuning Powerful Learner"

pre

predict-ad-click

A Binary Classification Problem for user ad-clicks

prefix-tuning-for-crs

Prefix-Tuning for Keyphrase-based recommendation and explanation generation

prefix-tuning-for-data-management

Parameter-efficient automation of data wrangling tasks with prefix-tuning and the T5 language model.

prefixtuning

Prefix-Tuning: Optimizing Continuous Prompts for Generation

prefixtuning-1

prefixtuning-fix

complete the code of prefix-tuning in low data setting

pretraining_analysis

Code for the NeurIPS 2021 paper "Why Do Pretrained Language Models Help in Downstream Tasks? An Analysis of Head and Prompt Tuning"

progressiveprompts

Progressive Prompts: Continual Learning for Language Models

prompt-detoxicity

prompt-distillation

prompt-for-fact-verification

This is the thesis for fact verification using prompt learning

prompt-glm

Prompt Fine-tuning on GLM, BART and Flan-T5.

prompt-learning

prompt-method-for-event-detection

prompt-qa

Prompt_based linear-probing fine-tuning on cross-domain QA

prompt-tuning

prompt tuning

prompt-tuning-1

prompt-tuning-2

Implementation of "The Power of Scale for Parameter-Efficient Prompt Tuning"

prompt-tuning-3

Implementation of "The Power of Scale for Parameter-Efficient Prompt Tuning"

prompt-tuning-4

prompt-tuning-captioning

Captioning for Visual COMET based off of prompt tuning and BEiT. Experimental playground

prompt-tuning-for-nlg

Repository for Prompt Tuning for Natural Language Generation tasks

prompt-tuning-for-sentiment-classification

Code for the Internship at NEU-NLP

prompt-tuning-nml

Implementation of some neural machine translation models using both fine-tuning and prompt-tuning techniques

prompt-tuning-on-totto

T5 Prompt Tuning on ToTTo Dataset (Table-To-Text Generation)