OPTML-Group / Unlearn-SimpleLinks
"Simplicity Prevails: Rethinking Negative Preference Optimization for LLM Unlearning" by Chongyu Fan*, Jiancheng Liu*, Licong Lin*, Jinghan Jia, Ruiqi Zhang, Song Mei, Sijia Liu
☆26Updated 3 weeks ago
Alternatives and similar repositories for Unlearn-Simple
Users that are interested in Unlearn-Simple are comparing it to the libraries listed below
Sorting:
- Official repo for NeurIPS'24 paper "WAGLE: Strategic Weight Attribution for Effective and Modular Unlearning in Large Language Models"☆14Updated 6 months ago
- ☆59Updated 11 months ago
- Official repo for EMNLP'24 paper "SOUL: Unlocking the Power of Second-Order Optimization for LLM Unlearning"☆26Updated 8 months ago
- This is the official code for the paper "Vaccine: Perturbation-aware Alignment for Large Language Models" (NeurIPS2024)☆44Updated 7 months ago
- ☆22Updated 3 months ago
- [ICLR 2025] A Closer Look at Machine Unlearning for Large Language Models☆32Updated 6 months ago
- ☆23Updated 10 months ago
- ☆41Updated 8 months ago
- ☆44Updated 3 months ago
- RWKU: Benchmarking Real-World Knowledge Unlearning for Large Language Models. NeurIPS 2024☆76Updated 8 months ago
- [ICML 2024] Assessing the Brittleness of Safety Alignment via Pruning and Low-Rank Modifications☆79Updated 2 months ago
- [NeurIPS 2024 D&B] Evaluating Copyright Takedown Methods for Language Models☆17Updated 11 months ago
- ☆16Updated this week
- ☆23Updated 8 months ago
- [ACL 2024] Code and data for "Machine Unlearning of Pre-trained Large Language Models"☆59Updated 8 months ago
- Official code for SEAL: Steerable Reasoning Calibration of Large Language Models for Free☆27Updated 2 months ago
- Official Repository for The Paper: Safety Alignment Should Be Made More Than Just a Few Tokens Deep☆134Updated 2 months ago
- ☆28Updated last year
- Röttger et al. (NAACL 2024): "XSTest: A Test Suite for Identifying Exaggerated Safety Behaviours in Large Language Models"☆98Updated 4 months ago
- This is the official code for the paper "Safety Tax: Safety Alignment Makes Your Large Reasoning Models Less Reasonable".☆18Updated 3 months ago
- [ACL 2024 main] Aligning Large Language Models with Human Preferences through Representation Engineering (https://aclanthology.org/2024.…☆25Updated 9 months ago
- ☆16Updated last year
- [ICLR'24] RAIN: Your Language Models Can Align Themselves without Finetuning☆94Updated last year
- This is the official code for the paper "Booster: Tackling Harmful Fine-tuning for Large Language Models via Attenuating Harmful Perturba…☆28Updated 3 months ago
- This repo is for the safety topic, including attacks, defenses and studies related to reasoning and RL☆21Updated this week
- ☆27Updated 3 weeks ago
- [NeurIPS 2024] How do Large Language Models Handle Multilingualism?☆34Updated 7 months ago
- Safe Unlearning: A Surprisingly Effective and Generalizable Solution to Defend Against Jailbreak Attacks☆28Updated 11 months ago
- A Mechanistic Understanding of Alignment Algorithms: A Case Study on DPO and Toxicity.☆72Updated 3 months ago
- Improved Few-Shot Jailbreaking Can Circumvent Aligned Language Models and Their Defenses (NeurIPS 2024)☆61Updated 5 months ago