Alternatives and similar repositories for data-efficient-finetuning

Users that are interested in data-efficient-finetuning are comparing it to the libraries listed below

• thunlp / Prompt-Transferability
  On Transferability of Prompt Tuning for Natural Language Processing
  ☆100Updated last year
• jzbjyb / ReAtt
  Retrieval as Attention
  ☆82Updated 3 years ago
• nkandpa2 / long_tail_knowledge
  Repo for the paper "Large Language Models Struggle to Learn Long-Tail Knowledge"
  ☆78Updated 2 years ago
• wzhouad / context-faithful-llm
  Code and data for paper "Context-faithful Prompting for Large Language Models".
  ☆42Updated 2 years ago
• yixinL7 / SumLLM
  Repo for "On Learning to Summarize with Large Language Models as References"
  ☆43Updated 2 years ago
• swj0419 / kNN_prompt
  TBC
  ☆28Updated 3 years ago
• microsoft / HaDes
  Token-level Reference-free Hallucination Detection
  ☆98Updated 2 years ago
• joeljang / ELM
  [ICML 2023] Exploring the Benefits of Training Expert Language Models over Instruction Tuning
  ☆98Updated 2 years ago
• princeton-nlp / DinkyTrain
  Princeton NLP's pre-training library based on fairseq with DeepSpeed kernel integration 🚃
  ☆116Updated 3 years ago
• eladsegal / strategyqa
  The official code of TACL 2021, "Did Aristotle Use a Laptop? A Question Answering Benchmark with Implicit Reasoning Strategies".
  ☆83Updated 3 years ago
• microsoft / REINA
  ☆116Updated 3 years ago
• thu-coai / PICL
  Code for ACL2023 paper: Pre-Training to Learn in Context
  ☆106Updated last year
• kayoyin / interpret-lm
  Interpreting Language Models with Contrastive Explanations (EMNLP 2022 Best Paper Honorable Mention)
  ☆62Updated 3 years ago
• ExpressAI / reStructured-Pretraining
  reStructured Pre-training
  ☆99Updated 3 years ago
• WadeYin9712 / Dynosaur
  Code and data for "Dynosaur: A Dynamic Growth Paradigm for Instruction-Tuning Data Curation" (EMNLP 2023)
  ☆64Updated 2 years ago
• Leezekun / dialogic
  [EMNLP 2022] Code and data for "Controllable Dialogue Simulation with In-Context Learning"
  ☆34Updated 2 years ago
• microsoft / Efficient-Large-LM-Trainer
  ☆39Updated last year
• nayeon7lee / FactualityPrompt
  ☆88Updated 3 years ago
• yumeng5 / SuperGen
  [NeurIPS 2022] Generating Training Data with Language Models: Towards Zero-Shot Language Understanding
  ☆70Updated 3 years ago
• ThomasScialom / T0_continual_learning
  Adding new tasks to T0 without catastrophic forgetting
  ☆33Updated 3 years ago
• luka-group / Lattice
  [NAACL 2022] Robust (Controlled) Table-to-Text Generation with Structure-Aware Equivariance Learning.
  ☆57Updated last year
• jzbjyb / lm-calibration
  ☆35Updated 4 years ago
• JetRunner / LaPraDoR
  🦮 Code and pretrained models for Findings of ACL 2022 paper "LaPraDoR: Unsupervised Pretrained Dense Retriever for Zero-Shot Text Retrie…
  ☆49Updated 3 years ago
• nicola-decao / KnowledgeEditor
  Code for Editing Factual Knowledge in Language Models
  ☆142Updated 4 years ago
• llyx97 / sparse-and-robust-PLM
  [NeurIPS 2022] "A Win-win Deal: Towards Sparse and Robust Pre-trained Language Models", Yuanxin Liu, Fandong Meng, Zheng Lin, Jiangnan Li…
  ☆21Updated 2 years ago
• ghomasHudson / muld
  The Multitask Long Document Benchmark
  ☆42Updated 3 years ago
• HornHehhf / RR
  ☆46Updated last year
• swj0419 / in-context-pretraining
  ☆55Updated last year
• yxuansu / Contrastive_Search_versus_Contrastive_Decoding
  An Empirical Study On Contrastive Search And Contrastive Decoding For Open-ended Text Generation
  ☆27Updated last year
• oriram / spider
  ☆54Updated 3 years ago