Alternatives and similar repositories for prompt-tuning

Users that are interested in prompt-tuning are comparing it to the libraries listed below

• allenai / natural-instructions
  Expanding natural instructions
  ☆1,007Updated last year
• SinclairCoder / Instruction-Tuning-Papers
  Reading list of Instruction-tuning. A trend starts from Natrural-Instruction (ACL 2022), FLAN (ICLR 2022) and T0 (ICLR 2022).
  ☆769Updated last year
• ucinlp / autoprompt
  AutoPrompt: Automatic Prompt Construction for Masked Language Models.
  ☆628Updated 10 months ago
• XiangLi1999 / PrefixTuning
  Prefix-Tuning: Optimizing Continuous Prompts for Generation
  ☆934Updated last year
• google-research / FLAN
  ☆1,529Updated this week
• facebookresearch / atlas
  Code repository for supporting the paper "Atlas Few-shot Learning with Retrieval Augmented Language Models",(https//arxiv.org/abs/2208.03…
  ☆541Updated last year
• facebookresearch / contriever
  Contriever: Unsupervised Dense Information Retrieval with Contrastive Learning
  ☆744Updated 2 years ago
• kipgparker / soft-prompt-tuning
  ☆346Updated 3 years ago
• Shark-NLP / OpenICL
  OpenICL is an open-source framework to facilitate research, development, and prototyping of in-context learning.
  ☆566Updated last year
• bigscience-workshop / t-zero
  Reproduce results and replicate training fo T0 (Multitask Prompted Training Enables Zero-Shot Task Generalization)
  ☆463Updated 2 years ago
• facebookresearch / FiD
  Fusion-in-Decoder
  ☆573Updated last year
• bigscience-workshop / xmtf
  Crosslingual Generalization through Multitask Finetuning
  ☆538Updated 9 months ago
• r-three / t-few
  Code for T-Few from "Few-Shot Parameter-Efficient Fine-Tuning is Better and Cheaper than In-Context Learning"
  ☆452Updated last year
• kojima-takeshi188 / zero_shot_cot
  Prod Env
  ☆423Updated last year
• microsoft / ProphetNet
  A research project for natural language generation, containing the official implementations by MSRA NLC team.
  ☆729Updated 11 months ago
• RenzeLou / awesome-instruction-learning
  Papers and Datasets on Instruction Tuning and Following. ✨✨✨
  ☆497Updated last year
• mingkaid / rl-prompt
  Accompanying repo for the RLPrompt paper
  ☆334Updated last year
• xlang-ai / UnifiedSKG
  [EMNLP 2022] Unifying and multi-tasking structured knowledge grounding with language models
  ☆559Updated last year
• jeffhj / LM-reasoning
  This repository contains a collection of papers and resources on Reasoning in Large Language Models.
  ☆564Updated last year
• tonyzhaozh / few-shot-learning
  Few-shot Learning of GPT-3
  ☆351Updated last year
• kmeng01 / rome
  Locating and editing factual associations in GPT (NeurIPS 2022)
  ☆649Updated last year
• declare-lab / instruct-eval
  This repository contains code to quantitatively evaluate instruction-tuned models such as Alpaca and Flan-T5 on held-out tasks.
  ☆545Updated last year
• princeton-nlp / ALCE
  [EMNLP 2023] Enabling Large Language Models to Generate Text with Citations. Paper: https://arxiv.org/abs/2305.14627
  ☆490Updated 9 months ago
• dqxiu / ICL_PaperList
  Paper List for In-context Learning 🌷
  ☆853Updated 9 months ago
• AGI-Edgerunners / LLM-Adapters
  Code for our EMNLP 2023 Paper: "LLM-Adapters: An Adapter Family for Parameter-Efficient Fine-Tuning of Large Language Models"
  ☆1,183Updated last year
• yaodongC / awesome-instruction-dataset
  A collection of open-source dataset to train instruction-following LLMs (ChatGPT,LLaMA,Alpaca)
  ☆1,124Updated last year
• RUCAIBox / HaluEval
  This is the repository of HaluEval, a large-scale hallucination evaluation benchmark for Large Language Models.
  ☆484Updated last year
• yxuansu / SimCTG
  [NeurIPS'22 Spotlight] A Contrastive Framework for Neural Text Generation
  ☆471Updated last year
• google-research / deduplicate-text-datasets
  ☆1,227Updated 11 months ago
• zhilizju / Awesome-instruction-tuning
  A curated list of awesome instruction tuning datasets, models, papers and repositories.
  ☆335Updated 2 years ago