Alternatives and similar repositories for prompt-tuning:

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

• kipgparker / soft-prompt-tuning
  ☆346Updated 3 years ago
• SinclairCoder / Instruction-Tuning-Papers
  Reading list of Instruction-tuning. A trend starts from Natrural-Instruction (ACL 2022), FLAN (ICLR 2022) and T0 (ICLR 2022).
  ☆760Updated last year
• allenai / natural-instructions
  Expanding natural instructions
  ☆975Updated last year
• r-three / t-few
  Code for T-Few from "Few-Shot Parameter-Efficient Fine-Tuning is Better and Cheaper than In-Context Learning"
  ☆443Updated last year
• XiangLi1999 / PrefixTuning
  Prefix-Tuning: Optimizing Continuous Prompts for Generation
  ☆910Updated 9 months ago
• ucinlp / autoprompt
  AutoPrompt: Automatic Prompt Construction for Masked Language Models.
  ☆611Updated 5 months ago
• facebookresearch / FiD
  Fusion-in-Decoder
  ☆561Updated last year
• bigscience-workshop / t-zero
  Reproduce results and replicate training fo T0 (Multitask Prompted Training Enables Zero-Shot Task Generalization)
  ☆461Updated 2 years ago
• facebookresearch / atlas
  Code repository for supporting the paper "Atlas Few-shot Learning with Retrieval Augmented Language Models",(https//arxiv.org/abs/2208.03…
  ☆526Updated last year
• Shark-NLP / OpenICL
  OpenICL is an open-source framework to facilitate research, development, and prototyping of in-context learning.
  ☆546Updated last year
• facebookresearch / contriever
  Contriever: Unsupervised Dense Information Retrieval with Contrastive Learning
  ☆711Updated last year
• RenzeLou / awesome-instruction-learning
  Papers and Datasets on Instruction Tuning and Following. ✨✨✨
  ☆481Updated 10 months ago
• tonyzhaozh / few-shot-learning
  Few-shot Learning of GPT-3
  ☆346Updated last year
• google-research / FLAN
  ☆1,497Updated last week
• bigscience-workshop / xmtf
  Crosslingual Generalization through Multitask Finetuning
  ☆525Updated 4 months ago
• princeton-nlp / LM-BFF
  [ACL 2021] LM-BFF: Better Few-shot Fine-tuning of Language Models https://arxiv.org/abs/2012.15723
  ☆725Updated 2 years ago
• THUDM / P-tuning
  A novel method to tune language models. Codes and datasets for paper ``GPT understands, too''.
  ☆928Updated 2 years ago
• jeffhj / LM-reasoning
  This repository contains a collection of papers and resources on Reasoning in Large Language Models.
  ☆555Updated last year
• AGI-Edgerunners / LLM-Adapters
  Code for our EMNLP 2023 Paper: "LLM-Adapters: An Adapter Family for Parameter-Efficient Fine-Tuning of Large Language Models"
  ☆1,127Updated 11 months ago
• kojima-takeshi188 / zero_shot_cot
  Prod Env
  ☆400Updated last year
• pengbaolin / LLM-Augmenter
  ☆443Updated last year
• likenneth / honest_llama
  Inference-Time Intervention: Eliciting Truthful Answers from a Language Model
  ☆498Updated 3 weeks ago
• pfliu-nlp / NLPedia-Pretrain
  ☆396Updated 3 years ago
• dqxiu / ICL_PaperList
  Paper List for In-context Learning 🌷
  ☆836Updated 4 months ago
• lucidrains / RETRO-pytorch
  Implementation of RETRO, Deepmind's Retrieval based Attention net, in Pytorch
  ☆857Updated last year
• sail-sg / lorahub
  [COLM 2024] LoraHub: Efficient Cross-Task Generalization via Dynamic LoRA Composition
  ☆614Updated 6 months ago
• jinlanfu / GPTScore
  Source Code of Paper "GPTScore: Evaluate as You Desire"
  ☆238Updated 2 years ago
• princeton-nlp / ALCE
  [EMNLP 2023] Enabling Large Language Models to Generate Text with Citations. Paper: https://arxiv.org/abs/2305.14627
  ☆475Updated 4 months ago
• tatsu-lab / alpaca_farm
  A simulation framework for RLHF and alternatives. Develop your RLHF method without collecting human data.
  ☆794Updated 7 months ago
• kmeng01 / rome
  Locating and editing factual associations in GPT (NeurIPS 2022)
  ☆604Updated 10 months ago