facebookresearch / perfectLinks
PERFECT: Prompt-free and Efficient Few-shot Learning with Language Models
☆111Updated last month
Alternatives and similar repositories for perfect
Users that are interested in perfect are comparing it to the libraries listed below
Sorting:
- ☆116Updated 3 years ago
- [AAAI 2024] Investigating the Effectiveness of Task-Agnostic Prefix Prompt for Instruction Following☆78Updated last year
- ☆35Updated 2 years ago
- [ICML 2023] Exploring the Benefits of Training Expert Language Models over Instruction Tuning☆98Updated 2 years ago
- On Transferability of Prompt Tuning for Natural Language Processing☆100Updated last year
- A extension of Transformers library to include T5ForSequenceClassification class.☆40Updated 2 years ago
- Long-context pretrained encoder-decoder models☆96Updated 3 years ago
- [TMLR'23] Contrastive Search Is What You Need For Neural Text Generation☆123Updated 2 years ago
- This repository is the official implementation of our paper MVP: Multi-task Supervised Pre-training for Natural Language Generation.☆73Updated 3 years ago
- This repository contains the code for paper Prompting ELECTRA Few-Shot Learning with Discriminative Pre-Trained Models.☆48Updated 3 years ago
- Official code and model checkpoints for our EMNLP 2022 paper "RankGen - Improving Text Generation with Large Ranking Models" (https://arx…☆138Updated 2 years ago
- [NeurIPS 2022] Generating Training Data with Language Models: Towards Zero-Shot Language Understanding☆70Updated 3 years ago
- Code for Editing Factual Knowledge in Language Models☆142Updated 4 years ago
- Code for the paper "True Few-Shot Learning in Language Models" (https://arxiv.org/abs/2105.11447)☆143Updated 4 years ago
- PyTorch implementation and pre-trained models for ASP - Autoregressive Structured Prediction with Language Models, EMNLP 22. https://arxi…☆107Updated 2 years ago
- ☆67Updated 4 years ago
- reStructured Pre-training☆99Updated 3 years ago
- Source code for paper "Learning from Noisy Labels for Entity-Centric Information Extraction", EMNLP 2021☆55Updated 4 years ago
- Code for the paper Code for the paper InstructDial: Improving Zero and Few-shot Generalization in Dialogue through Instruction Tuning☆100Updated 2 years ago
- Retrieval as Attention☆82Updated 3 years ago
- TBC☆28Updated 3 years ago
- This respository contains the code for extracting the test samples we used in our paper: "A Multitask, Multilingual, Multimodal Evaluatio…☆81Updated 2 years ago
- A library for parameter-efficient and composable transfer learning for NLP with sparse fine-tunings.☆75Updated last year
- This repository accompanies our paper “Do Prompt-Based Models Really Understand the Meaning of Their Prompts?”☆85Updated 3 years ago
- ☆90Updated last year
- The official repository for Efficient Long-Text Understanding Using Short-Text Models (Ivgi et al., 2022) paper☆70Updated 2 years ago
- Code for paper 'Data-Efficient FineTuning'☆28Updated 2 years ago
- The Few-Shot Bot: Prompt-Based Learning for Dialogue Systems☆118Updated 4 years ago
- Tk-Instruct is a Transformer model that is tuned to solve many NLP tasks by following instructions.☆183Updated 3 years ago
- [EMNLP 2022] This is the code repo for our EMNLP‘22 paper "COCO-DR: Combating Distribution Shifts in Zero-Shot Dense Retrieval with Contr…☆50Updated 2 years ago