OPTML-Group / Unlearn-Simple
"Simplicity Prevails: Rethinking Negative Preference Optimization for LLM Unlearning" by Chongyu Fan*, Jiancheng Liu*, Licong Lin*, Jinghan Jia, Ruiqi Zhang, Song Mei, Sijia Liu
☆21Updated 2 weeks ago
Alternatives and similar repositories for Unlearn-Simple:
Users that are interested in Unlearn-Simple are comparing it to the libraries listed below
- Official repo for NeurIPS'24 paper "WAGLE: Strategic Weight Attribution for Effective and Modular Unlearning in Large Language Models"☆11Updated last month
- ☆45Updated 6 months ago
- ☆17Updated 3 months ago
- Official repo for EMNLP'24 paper "SOUL: Unlocking the Power of Second-Order Optimization for LLM Unlearning"☆17Updated 3 months ago
- The official code of the paper "A Closer Look at Machine Unlearning for Large Language Models".☆21Updated last month
- Official code for the paper: Evaluating Copyright Takedown Methods for Language Models☆17Updated 6 months ago
- This is the official code for the paper "Vaccine: Perturbation-aware Alignment for Large Language Models" (NeurIPS2024)☆33Updated 2 months ago
- ☆19Updated 6 months ago
- ☆12Updated 5 months ago
- RWKU: Benchmarking Real-World Knowledge Unlearning for Large Language Models. NeurIPS 2024☆65Updated 4 months ago
- A survey on harmful fine-tuning attack for large language model☆129Updated 2 weeks ago
- [ACL 2024] Code and data for "Machine Unlearning of Pre-trained Large Language Models"☆53Updated 4 months ago
- LLM Unlearning☆141Updated last year
- Official Repository for The Paper: Safety Alignment Should Be Made More Than Just a Few Tokens Deep☆67Updated 6 months ago
- Official Code for Paper: Assessing the Brittleness of Safety Alignment via Pruning and Low-Rank Modifications☆68Updated 3 months ago
- Landing Page for TOFU☆108Updated last month
- Official repository for ICML 2024 paper "On Prompt-Driven Safeguarding for Large Language Models"☆83Updated 4 months ago
- Official code implementation of SKU, Accepted by ACL 2024 Findings☆13Updated last month
- ☆28Updated 7 months ago
- [ICLR'24] RAIN: Your Language Models Can Align Themselves without Finetuning☆88Updated 8 months ago
- ☆36Updated last year
- ☆37Updated 7 months ago
- [ACL 2024] CodeAttack: Revealing Safety Generalization Challenges of Large Language Models via Code Completion☆34Updated 3 months ago
- ICLR2024 Paper. Showing properties of safety tuning and exaggerated safety.☆76Updated 8 months ago
- SORRY-Bench: Systematically Evaluating Large Language Model Safety Refusal Behaviors☆39Updated 7 months ago
- [ICML 2024] Safety Fine-Tuning at (Almost) No Cost: A Baseline for Vision Large Language Models.☆52Updated last week
- Accepted by ECCV 2024☆92Updated 3 months ago
- Code and dataset for the paper: "Can Editing LLMs Inject Harm?"☆18Updated 2 months ago
- Personalized Steering of Large Language Models: Versatile Steering Vectors Through Bi-directional Preference Optimization☆16Updated 6 months ago