Alternatives and similar repositories for Black-Box-Tuning:

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

• princeton-nlp / CoFiPruning
  [ACL 2022] Structured Pruning Learns Compact and Accurate Models https://arxiv.org/abs/2204.00408
  ☆195Updated 2 years ago
• FranxYao / FlanT5-CoT-Specialization
  Implementation of ICML 23 Paper: Specializing Smaller Language Models towards Multi-Step Reasoning.
  ☆130Updated last year
• facebookresearch / MetaICL
  An original implementation of "MetaICL Learning to Learn In Context" by Sewon Min, Mike Lewis, Luke Zettlemoyer and Hannaneh Hajishirzi
  ☆264Updated 2 years ago
• kipgparker / soft-prompt-tuning
  ☆345Updated 3 years ago
• XiangLi1999 / ContrastiveDecoding
  contrastive decoding
  ☆199Updated 2 years ago
• Shark-NLP / CoNT
  [NeurIPS'22 Spotlight] Data and code for our paper CoNT: Contrastive Neural Text Generation
  ☆152Updated last year
• thunlp / DeltaPapers
  Must-read Papers of Parameter-Efficient Tuning (Delta Tuning) Methods on Pre-trained Models.
  ☆282Updated last year
• lancopku / label-words-are-anchors
  Repository for Label Words are Anchors: An Information Flow Perspective for Understanding In-Context Learning
  ☆162Updated last year
• mkshing / Prompt-Tuning
  Implementation of "The Power of Scale for Parameter-Efficient Prompt Tuning"
  ☆167Updated 3 years ago
• SimiaoZuo / MoEBERT
  This PyTorch package implements MoEBERT: from BERT to Mixture-of-Experts via Importance-Guided Adaptation (NAACL 2022).
  ☆104Updated 3 years ago
• Alrope123 / rethinking-demonstrations
  ☆174Updated 9 months ago
• princeton-nlp / CEPE
  [ACL 2024] Long-Context Language Modeling with Parallel Encodings
  ☆154Updated 10 months ago
• Hunter-DDM / knowledge-neurons
  Code for the ACL-2022 paper "Knowledge Neurons in Pretrained Transformers"
  ☆168Updated last year
• princeton-nlp / TRIME
  [EMNLP 2022] Training Language Models with Memory Augmentation https://arxiv.org/abs/2205.12674
  ☆196Updated last year
• yxuansu / SimCTG
  [NeurIPS'22 Spotlight] A Contrastive Framework for Neural Text Generation
  ☆471Updated last year
• Spico197 / Humback
  🐋 An unofficial implementation of Self-Alignment with Instruction Backtranslation.
  ☆139Updated 10 months ago
• sangmichaelxie / doremi
  Pytorch implementation of DoReMi, a method for optimizing the data mixture weights in language modeling datasets
  ☆323Updated last year
• eric-mitchell / mend
  MEND: Fast Model Editing at Scale
  ☆245Updated last year
• OhadRubin / EPR
  ☆61Updated 2 years ago
• allenai / FineGrainedRLHF
  ☆275Updated 4 months ago
• benzakenelad / BitFit
  Simple Parameter-efficient Fine-tuning for Transformer-based Masked Language-models
  ☆142Updated 2 years ago
• thu-coai / PICL
  Code for ACL2023 paper: Pre-Training to Learn in Context
  ☆108Updated 9 months ago
• yegcjs / mixinglaws
  ☆98Updated 7 months ago
• YJiangcm / Lion
  [EMNLP 2023] Lion: Adversarial Distillation of Proprietary Large Language Models
  ☆206Updated last year
• HKUNLP / icl-ceil
  [ICML 2023] Code for our paper “Compositional Exemplars for In-context Learning”.
  ☆100Updated 2 years ago
• p-lambda / dsir
  DSIR large-scale data selection framework for language model training
  ☆246Updated 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
• Timothyxxx / RetrivalLMPapers
  Paper collections of retrieval-based (augmented) language model.
  ☆232Updated 11 months ago
• princeton-nlp / QuRating
  [ICML 2024] Selecting High-Quality Data for Training Language Models
  ☆170Updated 10 months ago
• thunlp / Prompt-Transferability
  On Transferability of Prompt Tuning for Natural Language Processing
  ☆99Updated last year