Alternatives and similar repositories for ProgressivePrompts

Users that are interested in ProgressivePrompts are comparing it to the libraries listed below

• rabeehk / compacter
  ☆130Updated 3 years ago
• rabeehk / hyperformer
  ☆158Updated 4 years ago
• AkariAsai / ATTEMPT
  This is the oficial repository for "Parameter-Efficient Multi-task Tuning via Attentional Mixtures of Soft Prompts" (EMNLP 2022)
  ☆104Updated 3 years ago
• bloomberg / dataless-model-merging
  Code release for Dataless Knowledge Fusion by Merging Weights of Language Models (https://openreview.net/forum?id=FCnohuR6AnM)
  ☆92Updated 2 years ago
• xlang-ai / icl-selective-annotation
  [ICLR 2023] Code for our paper "Selective Annotation Makes Language Models Better Few-Shot Learners"
  ☆111Updated 2 years ago
• eric-mitchell / mend
  MEND: Fast Model Editing at Scale
  ☆253Updated 2 years ago
• benzakenelad / BitFit
  Simple Parameter-efficient Fine-tuning for Transformer-based Masked Language-models
  ☆143Updated 3 years ago
• NoviScl / GPT3-Reliability
  ☆79Updated 2 years ago
• HKUNLP / icl-ceil
  [ICML 2023] Code for our paper “Compositional Exemplars for In-context Learning”.
  ☆103Updated 2 years ago
• qcwthu / Lifelong-Fewshot-Language-Learning
  The code for lifelong few-shot language learning
  ☆55Updated 3 years ago
• SALT-NLP / Adaptive-Compositional-Modules
  Code for the ACL 2022 paper "Continual Sequence Generation with Adaptive Compositional Modules"
  ☆39Updated 3 years ago
• fuzihaofzh / AnalyzeParameterEfficientFinetune
  On the Effectiveness of Parameter-Efficient Fine-Tuning
  ☆38Updated 2 years ago
• McGill-NLP / polytropon
  ☆54Updated 2 years ago
• microsoft / AdaMix
  This is the implementation of the paper AdaMix: Mixture-of-Adaptations for Parameter-efficient Model Tuning (https://arxiv.org/abs/2205.1…
  ☆136Updated 2 years ago
• UIC-Liu-Lab / CPT
  [EMNLP 2022] Continual Training of Language Models for Few-Shot Learning
  ☆45Updated 2 years ago
• QingruZhang / PASTA
  PASTA: Post-hoc Attention Steering for LLMs
  ☆129Updated last year
• JetRunner / SuperICL
  Code for "Small Models are Valuable Plug-ins for Large Language Models"
  ☆131Updated 2 years ago
• morningmoni / UniPELT
  Code for paper "UniPELT: A Unified Framework for Parameter-Efficient Language Model Tuning", ACL 2022
  ☆63Updated 3 years ago
• BeyonderXX / TRACE
  TRACE: A Comprehensive Benchmark for Continual Learning in Large Language Models
  ☆81Updated last year
• mkshing / Prompt-Tuning
  Implementation of "The Power of Scale for Parameter-Efficient Prompt Tuning"
  ☆168Updated 4 years ago
• XiangLi1999 / ContrastiveDecoding
  contrastive decoding
  ☆204Updated 3 years ago
• eric-mitchell / serac
  Semi-Parametric Editing with a Retrieval-Augmented Counterfactual Model
  ☆70Updated 3 years ago
• Thartvigsen / GRACE
  [NeurIPS'23] Aging with GRACE: Lifelong Model Editing with Discrete Key-Value Adaptors
  ☆82Updated 11 months ago
• ThomasScialom / T0_continual_learning
  Adding new tasks to T0 without catastrophic forgetting
  ☆33Updated 3 years ago
• thunlp / Prompt-Transferability
  On Transferability of Prompt Tuning for Natural Language Processing
  ☆100Updated last year
• unbiarirang / Fixed-Input-Parameterization
  This repository contains the official code for the paper: "Prompt Injection: Parameterization of Fixed Inputs"
  ☆32Updated last year
• joeljang / ELM
  [ICML 2023] Exploring the Benefits of Training Expert Language Models over Instruction Tuning
  ☆98Updated 2 years ago
• AGI-Edgerunners / LLM-Continual-Learning-Papers
  Must-read Papers on Large Language Model (LLM) Continual Learning
  ☆148Updated 2 years ago
• nicola-decao / KnowledgeEditor
  Code for Editing Factual Knowledge in Language Models
  ☆142Updated 3 years ago
• veronica320 / Faithful-COT
  Code and data accompanying our paper on arXiv "Faithful Chain-of-Thought Reasoning".
  ☆164Updated last year