licong-lin / negative-preference-optimization
☆57Updated 9 months ago
Alternatives and similar repositories for negative-preference-optimization:
Users that are interested in negative-preference-optimization are comparing it to the libraries listed below
- ☆21Updated last month
- Official repo for EMNLP'24 paper "SOUL: Unlocking the Power of Second-Order Optimization for LLM Unlearning"☆24Updated 6 months ago
- This is the official code for the paper "Vaccine: Perturbation-aware Alignment for Large Language Models" (NeurIPS2024)☆42Updated 5 months ago
- Official Repository for The Paper: Safety Alignment Should Be Made More Than Just a Few Tokens Deep☆89Updated 9 months ago
- [ICML 2024] Assessing the Brittleness of Safety Alignment via Pruning and Low-Rank Modifications☆76Updated 3 weeks ago
- RWKU: Benchmarking Real-World Knowledge Unlearning for Large Language Models. NeurIPS 2024☆72Updated 6 months ago
- "Simplicity Prevails: Rethinking Negative Preference Optimization for LLM Unlearning" by Chongyu Fan*, Jiancheng Liu*, Licong Lin*, Jingh…☆24Updated last month
- [ACL 2024] Code and data for "Machine Unlearning of Pre-trained Large Language Models"☆58Updated 6 months ago
- A Mechanistic Understanding of Alignment Algorithms: A Case Study on DPO and Toxicity.☆72Updated last month
- [ICLR 2025] A Closer Look at Machine Unlearning for Large Language Models☆25Updated 4 months ago
- ☆34Updated 6 months ago
- ☆28Updated 10 months ago
- Official repository for ICML 2024 paper "On Prompt-Driven Safeguarding for Large Language Models"☆90Updated 7 months ago
- ☆19Updated 8 months ago
- [ICLR'24] RAIN: Your Language Models Can Align Themselves without Finetuning☆91Updated 11 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
- [NeurIPS 2024 D&B] Evaluating Copyright Takedown Methods for Language Models☆17Updated 9 months ago
- Röttger et al. (NAACL 2024): "XSTest: A Test Suite for Identifying Exaggerated Safety Behaviours in Large Language Models"☆95Updated 2 months ago
- ☆38Updated last year
- ICLR2024 Paper. Showing properties of safety tuning and exaggerated safety.☆80Updated 11 months ago
- ☆21Updated 6 months ago
- ☆23Updated last year
- Personalized Steering of Large Language Models: Versatile Steering Vectors Through Bi-directional Preference Optimization☆22Updated 8 months ago
- LLM Unlearning☆153Updated last year
- ☆27Updated last month
- ☆19Updated last month
- ☆27Updated 10 months ago
- [ACL 2024] Defending Large Language Models Against Jailbreaking Attacks Through Goal Prioritization☆21Updated 9 months ago
- ☆42Updated 2 months ago
- Improved Few-Shot Jailbreaking Can Circumvent Aligned Language Models and Their Defenses (NeurIPS 2024)☆60Updated 3 months ago