Alternatives and similar repositories for Black-Box-Tuning

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

• Alrope123 / rethinking-demonstrations
  ☆176Updated last year
• kipgparker / soft-prompt-tuning
  ☆350Updated 4 years ago
• OhadRubin / EPR
  ☆64Updated 2 years ago
• WHU-ZQH / ChatGPT-vs.-BERT
  🎁[ChatGPT4NLU] A Comparative Study on ChatGPT and Fine-tuned BERT
  ☆193Updated 2 years ago
• FranxYao / FlanT5-CoT-Specialization
  Implementation of ICML 23 Paper: Specializing Smaller Language Models towards Multi-Step Reasoning.
  ☆133Updated 2 years ago
• princeton-nlp / TRIME
  [EMNLP 2022] Training Language Models with Memory Augmentation https://arxiv.org/abs/2205.12674
  ☆196Updated 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
• Timothyxxx / RetrivalLMPapers
  Paper collections of retrieval-based (augmented) language model.
  ☆234Updated last year
• mkshing / Prompt-Tuning
  Implementation of "The Power of Scale for Parameter-Efficient Prompt Tuning"
  ☆167Updated 4 years ago
• KaiLv69 / UDR
  ACL'23: Unified Demonstration Retriever for In-Context Learning
  ☆37Updated last year
• XiangLi1999 / ContrastiveDecoding
  contrastive decoding
  ☆203Updated 2 years ago
• BenfengXu / KNNPrompting
  Released code for our ICLR23 paper.
  ☆66Updated 2 years ago
• TobiasLee / Awesome-Efficient-PLM
  Must-read papers on improving efficiency for pre-trained language models.
  ☆105Updated 2 years ago
• thunlp / DeltaPapers
  Must-read Papers of Parameter-Efficient Tuning (Delta Tuning) Methods on Pre-trained Models.
  ☆286Updated 2 years ago
• zjunlp / DART
  [ICLR 2022] Differentiable Prompt Makes Pre-trained Language Models Better Few-shot Learners
  ☆131Updated 2 years ago
• allenai / FineGrainedRLHF
  ☆280Updated 8 months ago
• Shark-NLP / CoNT
  [NeurIPS'22 Spotlight] Data and code for our paper CoNT: Contrastive Neural Text Generation
  ☆153Updated 2 years ago
• Spico197 / Humpback
  🐋 An unofficial implementation of Self-Alignment with Instruction Backtranslation.
  ☆139Updated 4 months ago
• eric-mitchell / mend
  MEND: Fast Model Editing at Scale
  ☆250Updated 2 years ago
• HKUNLP / icl-ceil
  [ICML 2023] Code for our paper “Compositional Exemplars for In-context Learning”.
  ☆102Updated 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
• KwanWaiChung / M4LE
  Code for M4LE: A Multi-Ability Multi-Range Multi-Task Multi-Domain Long-Context Evaluation Benchmark for Large Language Models
  ☆23Updated last year
• Zeng-WH / Prompt-Tuning
  Implementation of "The Power of Scale for Parameter-Efficient Prompt Tuning"
  ☆58Updated 3 years ago
• yinzhangyue / SelfAware
  Do Large Language Models Know What They Don’t Know?
  ☆99Updated 10 months ago
• swj0419 / in-context-pretraining
  ☆54Updated last year
• ACL2023-Retrieval-LM / ACL2023-Retrieval-LM.github.io
  https://acl2023-retrieval-lm.github.io/
  ☆156Updated last year
• nayeon7lee / FactualityPrompt
  ☆86Updated 2 years ago
• princeton-nlp / CoFiPruning
  [ACL 2022] Structured Pruning Learns Compact and Accurate Models https://arxiv.org/abs/2204.00408
  ☆197Updated 2 years ago
• AkariAsai / ATTEMPT
  This is the oficial repository for "Parameter-Efficient Multi-task Tuning via Attentional Mixtures of Soft Prompts" (EMNLP 2022)
  ☆102Updated 2 years ago
• GXimingLu / Quark
  ☆75Updated last year