Alternatives and similar repositories for soft-prompt-tuning

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

• mkshing / Prompt-Tuning
  Implementation of "The Power of Scale for Parameter-Efficient Prompt Tuning"
  ☆167Updated 4 years ago
• txsun1997 / Black-Box-Tuning
  ICML'2022: Black-Box Tuning for Language-Model-as-a-Service & EMNLP'2022: BBTv2: Towards a Gradient-Free Future with Large Language Model…
  ☆270Updated 2 years ago
• facebookresearch / MetaICL
  An original implementation of "MetaICL Learning to Learn In Context" by Sewon Min, Mike Lewis, Luke Zettlemoyer and Hannaneh Hajishirzi
  ☆270Updated 2 years ago
• allenai / acl2022-zerofewshot-tutorial
  ☆292Updated 2 years ago
• yxuansu / SimCTG
  [NeurIPS'22 Spotlight] A Contrastive Framework for Neural Text Generation
  ☆473Updated last year
• XiangLi1999 / PrefixTuning
  Prefix-Tuning: Optimizing Continuous Prompts for Generation
  ☆945Updated last year
• neulab / BARTScore
  BARTScore: Evaluating Generated Text as Text Generation
  ☆357Updated 3 years ago
• pfliu-nlp / NLPedia-Pretrain
  ☆399Updated 3 years ago
• Shark-NLP / CoNT
  [NeurIPS'22 Spotlight] Data and code for our paper CoNT: Contrastive Neural Text Generation
  ☆154Updated 2 years ago
• zjunlp / DART
  [ICLR 2022] Differentiable Prompt Makes Pre-trained Language Models Better Few-shot Learners
  ☆131Updated 2 years ago
• jinlanfu / GPTScore
  Source Code of Paper "GPTScore: Evaluate as You Desire"
  ☆255Updated 2 years ago
• Alrope123 / rethinking-demonstrations
  ☆176Updated last year
• facebookresearch / FiD
  Fusion-in-Decoder
  ☆583Updated last year
• tonyzhaozh / few-shot-learning
  Few-shot Learning of GPT-3
  ☆355Updated last year
• thu-coai / PPT
  Official Code for "PPT: Pre-trained Prompt Tuning for Few-shot Learning". ACL 2022
  ☆109Updated 3 years ago
• ucinlp / autoprompt
  AutoPrompt: Automatic Prompt Construction for Masked Language Models.
  ☆631Updated last year
• thunlp / DeltaPapers
  Must-read Papers of Parameter-Efficient Tuning (Delta Tuning) Methods on Pre-trained Models.
  ☆286Updated 2 years ago
• eric-mitchell / mend
  MEND: Fast Model Editing at Scale
  ☆249Updated 2 years ago
• yixinL7 / BRIO
  ACL 2022: BRIO: Bringing Order to Abstractive Summarization
  ☆337Updated 11 months ago
• kojima-takeshi188 / zero_shot_cot
  Prod Env
  ☆429Updated last year
• Timothyxxx / RetrivalLMPapers
  Paper collections of retrieval-based (augmented) language model.
  ☆234Updated last year
• XiangLi1999 / ContrastiveDecoding
  contrastive decoding
  ☆203Updated 2 years ago
• Zeng-WH / Prompt-Tuning
  Implementation of "The Power of Scale for Parameter-Efficient Prompt Tuning"
  ☆58Updated 3 years ago
• thu-coai / PaperForONLG
  Paper list for open-ended language generation
  ☆192Updated 2 years ago
• maszhongming / UniEval
  Repository for EMNLP 2022 Paper: Towards a Unified Multi-Dimensional Evaluator for Text Generation
  ☆210Updated last year
• kongds / Prompt-BERT
  PromptBERT: Improving BERT Sentence Embeddings with Prompts
  ☆339Updated last year
• princeton-nlp / TRIME
  [EMNLP 2022] Training Language Models with Memory Augmentation https://arxiv.org/abs/2205.12674
  ☆196Updated 2 years ago
• princeton-nlp / LM-BFF
  [ACL 2021] LM-BFF: Better Few-shot Fine-tuning of Language Models https://arxiv.org/abs/2012.15723
  ☆728Updated 3 years ago
• hiaoxui / soft-prompts
  ☆88Updated 3 years ago
• nicola-decao / KnowledgeEditor
  Code for Editing Factual Knowledge in Language Models
  ☆139Updated 3 years ago