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llm-unlearning

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A resource repository for machine unlearning in large language models

  • UpdatedMar 28, 2025

A one-stop repository for large language model (LLM) unlearning. Supports TOFU, MUSE and is an easily extensible framework for new datasets, evaluations, methods, and other benchmarks.

  • UpdatedMar 27, 2025
  • Python

[ACL 2024] Code and data for "Machine Unlearning of Pre-trained Large Language Models"

  • UpdatedSep 30, 2024
  • Python

[NeurIPS 2024] Large Language Model Unlearning via Embedding-Corrupted Prompts

  • UpdatedSep 26, 2024
  • Python

"Simplicity Prevails: Rethinking Negative Preference Optimization for LLM Unlearning" by Chongyu Fan*, Jiancheng Liu*, Licong Lin*, Jinghan Jia, Ruiqi Zhang, Song Mei, Sijia Liu

  • UpdatedMar 2, 2025
  • Python

Implementation of the probabilistic evaluation framework introduced in the paper: "A Probabilistic Perspective on Unlearning and Alignment for Large Language Models" accepted at ICLR 2025 (Oral).

  • UpdatedMar 4, 2025
  • Jupyter Notebook

A curated repository of resources on bias and machine unlearning in Large Language Models.

  • UpdatedFeb 9, 2025

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