Must-read papers on prompt-based tuning for pre-trained language models.
☆4,293Jul 17, 2023Updated 2 years ago
Alternatives and similar repositories for PromptPapers
Users that are interested in PromptPapers are comparing it to the libraries listed below
Sorting:
- An Open-Source Framework for Prompt-Learning.☆4,828Jul 16, 2024Updated last year
- A trend starts from "Chain of Thought Prompting Elicits Reasoning in Large Language Models".☆2,100Oct 5, 2023Updated 2 years ago
- [EMNLP 2021] SimCSE: Simple Contrastive Learning of Sentence Embeddings https://arxiv.org/abs/2104.08821☆3,641Oct 16, 2024Updated last year
- Prefix-Tuning: Optimizing Continuous Prompts for Generation☆958Apr 26, 2024Updated last year
- A plug-and-play library for parameter-efficient-tuning (Delta Tuning)☆1,039Sep 19, 2024Updated last year
- [ACL 2021] LM-BFF: Better Few-shot Fine-tuning of Language Models https://arxiv.org/abs/2012.15723☆730Aug 29, 2022Updated 3 years ago
- Must-read Papers on pre-trained language models.☆3,362Nov 6, 2022Updated 3 years ago
- A novel method to tune language models. Codes and datasets for paper ``GPT understands, too''.☆938Oct 6, 2022Updated 3 years ago
- Must-read Papers of Parameter-Efficient Tuning (Delta Tuning) Methods on Pre-trained Models.☆283Jun 27, 2023Updated 2 years ago
- ☆399Oct 12, 2021Updated 4 years ago
- Toolkit for creating, sharing and using natural language prompts.☆2,996Oct 23, 2023Updated 2 years ago
- Paper List for In-context Learning 🌷☆875Oct 8, 2024Updated last year
- This repository contains the code for "Exploiting Cloze Questions for Few-Shot Text Classification and Natural Language Inference"☆1,628Jun 12, 2023Updated 2 years ago
- 🤗 PEFT: State-of-the-art Parameter-Efficient Fine-Tuning.☆20,678Updated this week
- AutoPrompt: Automatic Prompt Construction for Masked Language Models.☆641Aug 24, 2024Updated last year
- An optimized deep prompt tuning strategy comparable to fine-tuning across scales and tasks☆2,076Nov 16, 2023Updated 2 years ago
- Aligning pretrained language models with instruction data generated by themselves.☆4,580Mar 27, 2023Updated 2 years ago
- Large-scale Self-supervised Pre-training Across Tasks, Languages, and Modalities☆22,033Jan 23, 2026Updated last month
- Benchmarking large language models' complex reasoning ability with chain-of-thought prompting☆2,766Aug 4, 2024Updated last year
- Facebook AI Research Sequence-to-Sequence Toolkit written in Python.☆32,170Sep 30, 2025Updated 5 months ago
- Instruction Tuning with GPT-4☆4,342Jun 11, 2023Updated 2 years ago
- ☆917Jul 24, 2024Updated last year
- Train transformer language models with reinforcement learning.☆17,460Updated this week
- [ACL 2023] Reasoning with Language Model Prompting: A Survey☆996May 21, 2025Updated 9 months ago
- A curated list of prompt-based paper in computer vision and vision-language learning.☆925Dec 18, 2023Updated 2 years ago
- Reading list of Instruction-tuning. A trend starts from Natrural-Instruction (ACL 2022), FLAN (ICLR 2022) and T0 (ICLR 2022).☆766Jul 20, 2023Updated 2 years ago
- MLNLP社区用来帮助大家避免论文投稿小错误的整理仓库。 Paper Writing Tips☆4,335May 29, 2022Updated 3 years ago
- Pre-Training with Whole Word Masking for Chinese BERT(中文BERT-wwm系列模型)☆10,175Jul 15, 2025Updated 7 months ago
- 该仓库主要记录 NLP 算法工程师相关的顶会论文研读笔记☆4,020Aug 18, 2023Updated 2 years ago
- The official GitHub page for the survey paper "A Survey of Large Language Models".☆12,094Mar 11, 2025Updated 11 months ago
- Expanding natural instructions☆1,035Dec 11, 2023Updated 2 years ago
- Open Source Pre-training Model Framework in PyTorch & Pre-trained Model Zoo☆3,106May 9, 2024Updated last year
- A Unified Library for Parameter-Efficient and Modular Transfer Learning☆2,801Oct 12, 2025Updated 4 months ago
- ICML'2022: Black-Box Tuning for Language-Model-as-a-Service & EMNLP'2022: BBTv2: Towards a Gradient-Free Future with Large Language Model…☆271Nov 8, 2022Updated 3 years ago
- State-of-the-Art Text Embeddings☆18,323Updated this week
- Code and documentation to train Stanford's Alpaca models, and generate the data.☆30,271Jul 17, 2024Updated last year
- Implementation of paper "Towards a Unified View of Parameter-Efficient Transfer Learning" (ICLR 2022)☆543Mar 24, 2022Updated 3 years ago
- 中文语言理解测评基准 Chinese Language Understanding Evaluation Benchmark: datasets, baselines, pre-trained models, corpus and leaderboard☆4,230Feb 6, 2026Updated 3 weeks ago
- [NAACL 2021] Factual Probing Is [MASK]: Learning vs. Learning to Recall https://arxiv.org/abs/2104.05240☆168Oct 7, 2022Updated 3 years ago