Alternatives and similar repositories for Black-Box-Tuning

Users that are interested in Black-Box-Tuning are comparing it to the libraries listed below

• 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
• FranxYao / FlanT5-CoT-Specialization
  Implementation of ICML 23 Paper: Specializing Smaller Language Models towards Multi-Step Reasoning.
  ☆131Updated 2 years ago
• WHU-ZQH / ChatGPT-vs.-BERT
  🎁[ChatGPT4NLU] A Comparative Study on ChatGPT and Fine-tuned BERT
  ☆194Updated 2 years ago
• princeton-nlp / TRIME
  [EMNLP 2022] Training Language Models with Memory Augmentation https://arxiv.org/abs/2205.12674
  ☆196Updated 2 years ago
• Alrope123 / rethinking-demonstrations
  ☆178Updated last year
• XiangLi1999 / ContrastiveDecoding
  contrastive decoding
  ☆203Updated 2 years ago
• OhadRubin / EPR
  ☆63Updated 2 years ago
• kipgparker / soft-prompt-tuning
  ☆347Updated 3 years ago
• zjunlp / DART
  [ICLR 2022] Differentiable Prompt Makes Pre-trained Language Models Better Few-shot Learners
  ☆132Updated 2 years ago
• Shark-NLP / CoNT
  [NeurIPS'22 Spotlight] Data and code for our paper CoNT: Contrastive Neural Text Generation
  ☆154Updated 2 years ago
• mkshing / Prompt-Tuning
  Implementation of "The Power of Scale for Parameter-Efficient Prompt Tuning"
  ☆167Updated 3 years ago
• BenfengXu / KNNPrompting
  Released code for our ICLR23 paper.
  ☆65Updated 2 years ago
• thunlp / DeltaPapers
  Must-read Papers of Parameter-Efficient Tuning (Delta Tuning) Methods on Pre-trained Models.
  ☆285Updated 2 years ago
• eric-mitchell / mend
  MEND: Fast Model Editing at Scale
  ☆249Updated last year
• Timothyxxx / RetrivalLMPapers
  Paper collections of retrieval-based (augmented) language model.
  ☆232Updated last year
• KaiLv69 / UDR
  ACL'23: Unified Demonstration Retriever for In-Context Learning
  ☆38Updated last year
• Spico197 / Humpback
  🐋 An unofficial implementation of Self-Alignment with Instruction Backtranslation.
  ☆140Updated 2 months ago
• allenai / FineGrainedRLHF
  ☆278Updated 6 months ago
• princeton-nlp / DinkyTrain
  Princeton NLP's pre-training library based on fairseq with DeepSpeed kernel integration 🚃
  ☆114Updated 2 years ago
• lancopku / label-words-are-anchors
  Repository for Label Words are Anchors: An Information Flow Perspective for Understanding In-Context Learning
  ☆165Updated last year
• sangmichaelxie / doremi
  Pytorch implementation of DoReMi, a method for optimizing the data mixture weights in language modeling datasets
  ☆340Updated last year
• TobiasLee / Awesome-Efficient-PLM
  Must-read papers on improving efficiency for pre-trained language models.
  ☆104Updated 2 years ago
• princeton-nlp / CoFiPruning
  [ACL 2022] Structured Pruning Learns Compact and Accurate Models https://arxiv.org/abs/2204.00408
  ☆196Updated 2 years ago
• i-Eval / FairEval
  ☆140Updated last year
• yxuansu / SimCTG
  [NeurIPS'22 Spotlight] A Contrastive Framework for Neural Text Generation
  ☆471Updated last year
• thu-coai / PICL
  Code for ACL2023 paper: Pre-Training to Learn in Context
  ☆107Updated last year
• nayeon7lee / FactualityPrompt
  ☆87Updated 2 years ago
• ExpressAI / reStructured-Pretraining
  reStructured Pre-training
  ☆98Updated 2 years ago
• princeton-nlp / QuRating
  [ICML 2024] Selecting High-Quality Data for Training Language Models
  ☆183Updated last year
• InteractiveNLP-Team / awesome-InteractiveNLP-papers
  Paper List for a new paradigm of NLP: Interactive NLP (https://arxiv.org/abs/2305.13246)
  ☆215Updated 2 years ago