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
☆24Updated 2 months ago
Alternatives and similar repositories for Unlearn-Simple
Users that are interested in Unlearn-Simple are comparing it to the libraries listed below
Sorting:
- ☆58Updated 9 months ago
- Official repo for NeurIPS'24 paper "WAGLE: Strategic Weight Attribution for Effective and Modular Unlearning in Large Language Models"☆13Updated 4 months ago
- ☆21Updated 2 months ago
- Official repo for EMNLP'24 paper "SOUL: Unlocking the Power of Second-Order Optimization for LLM Unlearning"☆25Updated 7 months ago
- [ICLR 2025] A Closer Look at Machine Unlearning for Large Language Models☆26Updated 5 months ago
- This is the official code for the paper "Vaccine: Perturbation-aware Alignment for Large Language Models" (NeurIPS2024)☆42Updated 5 months ago
- RWKU: Benchmarking Real-World Knowledge Unlearning for Large Language Models. NeurIPS 2024☆74Updated 7 months ago
- [ICML 2024] Assessing the Brittleness of Safety Alignment via Pruning and Low-Rank Modifications☆76Updated last month
- ☆36Updated 7 months ago
- ☆23Updated 9 months ago
- Official Repository for The Paper: Safety Alignment Should Be Made More Than Just a Few Tokens Deep☆115Updated 3 weeks ago
- [NeurIPS 2024 D&B] Evaluating Copyright Takedown Methods for Language Models☆17Updated 9 months ago
- ☆29Updated 2 months ago
- ☆22Updated 7 months ago
- ☆28Updated 10 months ago
- Improved Few-Shot Jailbreaking Can Circumvent Aligned Language Models and Their Defenses (NeurIPS 2024)☆61Updated 4 months ago
- [ACL 2024] Code and data for "Machine Unlearning of Pre-trained Large Language Models"☆58Updated 7 months ago
- This is the official code for the paper "Safety Tax: Safety Alignment Makes Your Large Reasoning Models Less Reasonable".☆16Updated 2 months ago
- Official code for SEAL: Steerable Reasoning Calibration of Large Language Models for Free☆22Updated last month
- This is the official code for the paper "Booster: Tackling Harmful Fine-tuning for Large Language Models via Attenuating Harmful Perturba…☆25Updated last month
- ICLR2024 Paper. Showing properties of safety tuning and exaggerated safety.☆82Updated last year
- [ICLR'24] RAIN: Your Language Models Can Align Themselves without Finetuning☆92Updated 11 months ago
- Personalized Steering of Large Language Models: Versatile Steering Vectors Through Bi-directional Preference Optimization☆22Updated 9 months ago
- ☆23Updated last year
- A Mechanistic Understanding of Alignment Algorithms: A Case Study on DPO and Toxicity.☆72Updated 2 months ago
- Official code implementation of SKU, Accepted by ACL 2024 Findings☆14Updated 4 months ago
- ☆48Updated 11 months ago
- ☆38Updated last year
- ☆14Updated 3 weeks ago
- SafeChain: Safety of Language Models with Long Chain-of-Thought Reasoning Capabilities☆14Updated last month