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
  ☆263Updated 2 years ago
• thunlp / DeltaPapers
  Must-read Papers of Parameter-Efficient Tuning (Delta Tuning) Methods on Pre-trained Models.
  ☆284Updated last year
• Alrope123 / rethinking-demonstrations
  ☆175Updated 10 months ago
• kipgparker / soft-prompt-tuning
  ☆345Updated 3 years ago
• FranxYao / FlanT5-CoT-Specialization
  Implementation of ICML 23 Paper: Specializing Smaller Language Models towards Multi-Step Reasoning.
  ☆131Updated last year
• Shark-NLP / CoNT
  [NeurIPS'22 Spotlight] Data and code for our paper CoNT: Contrastive Neural Text Generation
  ☆153Updated 2 years ago
• allenai / FineGrainedRLHF
  ☆276Updated 4 months ago
• OhadRubin / EPR
  ☆61Updated 2 years ago
• WHU-ZQH / ChatGPT-vs.-BERT
  🎁[ChatGPT4NLU] A Comparative Study on ChatGPT and Fine-tuned BERT
  ☆195Updated 2 years ago
• princeton-nlp / TRIME
  [EMNLP 2022] Training Language Models with Memory Augmentation https://arxiv.org/abs/2205.12674
  ☆196Updated last year
• princeton-nlp / CoFiPruning
  [ACL 2022] Structured Pruning Learns Compact and Accurate Models https://arxiv.org/abs/2204.00408
  ☆195Updated 2 years ago
• yxuansu / SimCTG
  [NeurIPS'22 Spotlight] A Contrastive Framework for Neural Text Generation
  ☆471Updated last year
• XiangLi1999 / ContrastiveDecoding
  contrastive decoding
  ☆201Updated 2 years ago
• Spico197 / Humpback
  🐋 An unofficial implementation of Self-Alignment with Instruction Backtranslation.
  ☆140Updated 3 weeks ago
• mkshing / Prompt-Tuning
  Implementation of "The Power of Scale for Parameter-Efficient Prompt Tuning"
  ☆167Updated 3 years ago
• zjunlp / DART
  [ICLR 2022] Differentiable Prompt Makes Pre-trained Language Models Better Few-shot Learners
  ☆131Updated 2 years ago
• lancopku / label-words-are-anchors
  Repository for Label Words are Anchors: An Information Flow Perspective for Understanding In-Context Learning
  ☆164Updated last year
• eric-mitchell / mend
  MEND: Fast Model Editing at Scale
  ☆245Updated last year
• sangmichaelxie / doremi
  Pytorch implementation of DoReMi, a method for optimizing the data mixture weights in language modeling datasets
  ☆328Updated last year
• TobiasLee / Awesome-Efficient-PLM
  Must-read papers on improving efficiency for pre-trained language models.
  ☆103Updated 2 years ago
• raunak-agarwal / instruction-datasets
  All available datasets for Instruction Tuning of Large Language Models
  ☆250Updated last year
• AkariAsai / ATTEMPT
  This is the oficial repository for "Parameter-Efficient Multi-task Tuning via Attentional Mixtures of Soft Prompts" (EMNLP 2022)
  ☆100Updated 2 years ago
• benzakenelad / BitFit
  Simple Parameter-efficient Fine-tuning for Transformer-based Masked Language-models
  ☆142Updated 2 years ago
• Timothyxxx / RetrivalLMPapers
  Paper collections of retrieval-based (augmented) language model.
  ☆232Updated last year
• thu-coai / PICL
  Code for ACL2023 paper: Pre-Training to Learn in Context
  ☆108Updated 10 months ago
• sail-sg / regmix
  [ICLR 2025] 🧬 RegMix: Data Mixture as Regression for Language Model Pre-training (Spotlight)
  ☆138Updated 3 months ago
• princeton-nlp / DinkyTrain
  Princeton NLP's pre-training library based on fairseq with DeepSpeed kernel integration 🚃
  ☆114Updated 2 years ago
• pbhu1024 / awesome-augmented-language-model
  ⚡Research papers about leveraging the capabilities of language models⚡
  ☆52Updated 2 years ago
• p-lambda / dsir
  DSIR large-scale data selection framework for language model training
  ☆249Updated last year
• txsun1997 / LMaaS-Papers
  Awesome papers on Language-Model-as-a-Service (LMaaS)
  ☆556Updated last year