Alternatives and similar repositories for data-efficient-finetuning

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

• jzbjyb / ReAtt
  Retrieval as Attention
  ☆82Updated 3 years ago
• microsoft / REINA
  ☆116Updated 3 years ago
• nkandpa2 / long_tail_knowledge
  Repo for the paper "Large Language Models Struggle to Learn Long-Tail Knowledge"
  ☆78Updated 2 years ago
• swj0419 / kNN_prompt
  TBC
  ☆28Updated 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
• princeton-nlp / DinkyTrain
  Princeton NLP's pre-training library based on fairseq with DeepSpeed kernel integration 🚃
  ☆116Updated 3 years ago
• thunlp / Prompt-Transferability
  On Transferability of Prompt Tuning for Natural Language Processing
  ☆100Updated last year
• joeljang / ELM
  [ICML 2023] Exploring the Benefits of Training Expert Language Models over Instruction Tuning
  ☆98Updated 2 years ago
• microsoft / HaDes
  Token-level Reference-free Hallucination Detection
  ☆98Updated 2 years ago
• nicola-decao / KnowledgeEditor
  Code for Editing Factual Knowledge in Language Models
  ☆142Updated 4 years ago
• thu-coai / PICL
  Code for ACL2023 paper: Pre-Training to Learn in Context
  ☆106Updated last year
• yixinL7 / SumLLM
  Repo for "On Learning to Summarize with Large Language Models as References"
  ☆43Updated 2 years ago
• wzhouad / context-faithful-llm
  Code and data for paper "Context-faithful Prompting for Large Language Models".
  ☆42Updated 2 years ago
• luohongyin / UniLC
  Interpretable unified language safety checking with large language models
  ☆31Updated 2 years ago
• ghomasHudson / muld
  The Multitask Long Document Benchmark
  ☆42Updated 3 years ago
• kayoyin / interpret-lm
  Interpreting Language Models with Contrastive Explanations (EMNLP 2022 Best Paper Honorable Mention)
  ☆62Updated 3 years ago
• yumeng5 / SuperGen
  [NeurIPS 2022] Generating Training Data with Language Models: Towards Zero-Shot Language Understanding
  ☆70Updated 3 years ago
• ExpressAI / reStructured-Pretraining
  reStructured Pre-training
  ☆99Updated 3 years ago
• luka-group / Lattice
  [NAACL 2022] Robust (Controlled) Table-to-Text Generation with Structure-Aware Equivariance Learning.
  ☆57Updated last year
• hitz-zentroa / lm-contamination
  The LM Contamination Index is a manually created database of contamination evidences for LMs.
  ☆82Updated last year
• princeton-nlp / TRIME
  [EMNLP 2022] Training Language Models with Memory Augmentation https://arxiv.org/abs/2205.12674
  ☆195Updated 2 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
• kernelmachine / demix
  DEMix Layers for Modular Language Modeling
  ☆54Updated 4 years ago
• seonghyeonye / TAPP
  [AAAI 2024] Investigating the Effectiveness of Task-Agnostic Prefix Prompt for Instruction Following
  ☆78Updated last year
• TevenLeScao / pet
  This repository contains the code for "How many data points is a prompt worth?"
  ☆48Updated 4 years ago
• violet-zct / fairseq-detect-hallucination
  Detect hallucinated tokens for conditional sequence generation.
  ☆64Updated 3 years ago
• swj0419 / in-context-pretraining
  ☆55Updated last year
• lemaoliu / retrieval-generation-reading-list
  This project maintains a reading list for general text generation tasks
  ☆66Updated 4 years ago
• awebson / prompt_semantics
  This repository accompanies our paper “Do Prompt-Based Models Really Understand the Meaning of Their Prompts?”
  ☆85Updated 3 years ago
• prakharguptaz / Instructdial
  Code for the paper Code for the paper InstructDial: Improving Zero and Few-shot Generalization in Dialogue through Instruction Tuning
  ☆100Updated 2 years ago