Alternatives and similar repositories for Self-instruct

Users that are interested in Self-instruct are comparing it to the libraries listed below

• allenai / bff
  ☆38Updated last year
• anadim / the-little-retrieval-test
  ☆34Updated last year
• CarperAI / autocrit
  A repository for transformer critique learning and generation
  ☆90Updated last year
• zorazrw / odex
  [EMNLP'23] Execution-Based Evaluation for Open Domain Code Generation
  ☆48Updated last year
• theblackcat102 / evol-dataset
  evol augment any dataset online
  ☆59Updated last year
• hydrallm / llama-moe-v1
  ☆94Updated last year
• akjindal53244 / Arithmo
  Small and Efficient Mathematical Reasoning LLMs
  ☆71Updated last year
• bigscience-workshop / lm-evaluation-harness
  A framework for few-shot evaluation of autoregressive language models.
  ☆103Updated 2 years ago
• neelsjain / BYOD
  The Official Repository for "Bring Your Own Data! Self-Supervised Evaluation for Large Language Models"
  ☆108Updated last year
• chaitanyamalaviya / ExpertQA
  [Data + code] ExpertQA : Expert-Curated Questions and Attributed Answers
  ☆128Updated last year
• bigcode-project / astraios
  Astraios: Parameter-Efficient Instruction Tuning Code Language Models
  ☆57Updated last year
• TIGER-AI-Lab / LongICLBench
  Code and Data for "Long-context LLMs Struggle with Long In-context Learning" [TMLR2025]
  ☆106Updated 2 months ago
• orionw / FollowIR
  FollowIR: Evaluating and Teaching Information Retrieval Models to Follow Instructions
  ☆44Updated 10 months ago
• seonghyeonye / Flipped-Learning
  [ICLR 2023] Guess the Instruction! Flipped Learning Makes Language Models Stronger Zero-Shot Learners
  ☆115Updated 8 months ago
• kernelmachine / cbtm
  Code repository for the c-BTM paper
  ☆106Updated last year
• google / sycophancy-intervention
  Scripts for generating synthetic finetuning data for reducing sycophancy.
  ☆111Updated last year
• ruiqi-zhong / D5
  The GitHub repo for Goal Driven Discovery of Distributional Differences via Language Descriptions
  ☆69Updated 2 years ago
• shayne-longpre / a-pretrainers-guide
  ☆72Updated last year
• tianjunz / HIR
  ☆159Updated 2 years ago
• niansong1996 / lever
  Code for paper "LEVER: Learning to Verifiy Language-to-Code Generation with Execution" (ICML'23)
  ☆87Updated last year
• hadasah / btm
  ☆72Updated last year
• nyu-mll / ILF-for-code-generation
  ☆75Updated last month
• felipemaiapolo / tinyBenchmarks
  Evaluating LLMs with fewer examples
  ☆153Updated last year
• amazon-science / mxeval
  ☆110Updated 9 months ago
• rmshin / llm-mcts
  ☆37Updated 10 months ago
• salesforce / summary-of-a-haystack
  Codebase accompanying the Summary of a Haystack paper.
  ☆78Updated 7 months ago
• reasoning-machines / prompt-lib
  A set of utilities for running few-shot prompting experiments on large-language models
  ☆120Updated last year
• SALT-NLP / demonstrated-feedback
  ☆120Updated 7 months ago
• XiangLi1999 / AutoBencher
  ☆28Updated 10 months ago
• ntunlp / ExecEval
  A distributed, extensible, secure solution for evaluating machine generated code with unit tests in multiple programming languages.
  ☆53Updated 6 months ago