Alternatives and similar repositories for MIB

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

• TristanThrush / perplexity-correlations
  Simple and scalable tools for data-driven pretraining data selection.
  ☆24Updated 3 months ago
• ekinakyurek / influence
  Code for "Tracing Knowledge in Language Models Back to the Training Data"
  ☆38Updated 2 years ago
• princeton-nlp / LM-Kernel-FT
  A Kernel-Based View of Language Model Fine-Tuning https://arxiv.org/abs/2210.05643
  ☆76Updated last year
• MaheepChaudhary / SAE-Ravel
  Providing the answer to "How to do patching on all available SAEs on GPT-2?". It is an official repository of the implementation of the p…
  ☆11Updated 4 months ago
• pietrolesci / memorisation-profiles
  This is the official implementation for our ACL 2024 paper: "Causal Estimation of Memorisation Profiles".
  ☆21Updated 2 months ago
• yanaiela / pararel
  ☆44Updated last year
• BrachioLab / incontext_influences
  In-context Example Selection with Influences
  ☆15Updated 2 years ago
• mcleish7 / gemstone-scaling-laws
  ☆25Updated 3 months ago
• kernelmachine / demix-data
  Benchmark API for Multidomain Language Modeling
  ☆24Updated 2 years ago
• Nix07 / finetuning
  This repository contains the code used for the experiments in the paper "Fine-Tuning Enhances Existing Mechanisms: A Case Study on Entity…
  ☆26Updated last year
• nrimsky / InfluenceFunctions
  Implementation of Influence Function approximations for differently sized ML models, using PyTorch
  ☆15Updated last year
• technion-cs-nlp / Individual-Neurons-Pitfalls
  ☆10Updated 2 years ago
• explanare / ravel
  Evaluate interpretability methods on localizing and disentangling concepts in LLMs.
  ☆47Updated 8 months ago
• frankaging / Causal-Distill
  The Codebase for Causal Distillation for Language Models (NAACL '22)
  ☆25Updated 3 years ago
• PAIR-code / pretraining-tda
  ☆20Updated 3 months ago
• ThomasScialom / T0_continual_learning
  Adding new tasks to T0 without catastrophic forgetting
  ☆33Updated 2 years ago
• ruiqi-zhong / DescribeDistributionalDifferences
  Code for preprint: Summarizing Differences between Text Distributions with Natural Language
  ☆42Updated 2 years ago
• allenai / hyper-task-descriptions
  Learning adapter weights from task descriptions
  ☆18Updated last year
• peterbhase / SLAG-Belief-Updating
  Code for paper "Do Language Models Have Beliefs? Methods for Detecting, Updating, and Visualizing Model Beliefs"
  ☆28Updated 3 years ago
• jzbjyb / lm-calibration
  ☆34Updated 3 years ago
• ApolloResearch / e2e_sae
  Sparse Autoencoder Training Library
  ☆52Updated last month
• shauli-ravfogel / rlace-icml
  ☆36Updated 2 years ago
• alon-albalak / FLAD
  Few-shot Learning with Auxiliary Data
  ☆28Updated last year
• SimengSun / ChapterBreak
  ☆11Updated last year
• wesg52 / sparse-probing-paper
  Sparse probing paper full code.
  ☆56Updated last year
• archiki / GrIPS
  Code for our paper: "GrIPS: Gradient-free, Edit-based Instruction Search for Prompting Large Language Models"
  ☆55Updated 2 years ago
• yuzhaouoe / pretraining-data-packing
  [ACL'24 Oral] Analysing The Impact of Sequence Composition on Language Model Pre-Training
  ☆21Updated 9 months ago
• tml-epfl / icl-alignment
  Is In-Context Learning Sufficient for Instruction Following in LLMs? [ICLR 2025]
  ☆30Updated 4 months ago
• Betswish / MIRAGE
  Easy-to-use MIRAGE code for faithful answer attribution in RAG applications. Paper: https://aclanthology.org/2024.emnlp-main.347/
  ☆24Updated 2 months ago
• frankxu2004 / knnlm-why
  Repo for ICML23 "Why do Nearest Neighbor Language Models Work?"
  ☆57Updated 2 years ago