licong-lin / negative-preference-optimization
☆58Updated 10 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
Sorting:
- ☆21Updated 2 months ago
- This is the official code for the paper "Vaccine: Perturbation-aware Alignment for Large Language Models" (NeurIPS2024)☆42Updated 5 months ago
- Official repo for EMNLP'24 paper "SOUL: Unlocking the Power of Second-Order Optimization for LLM Unlearning"☆25Updated 7 months ago
- "Simplicity Prevails: Rethinking Negative Preference Optimization for LLM Unlearning" by Chongyu Fan*, Jiancheng Liu*, Licong Lin*, Jingh…☆24Updated 2 months ago
- [ACL 2024] Code and data for "Machine Unlearning of Pre-trained Large Language Models"☆58Updated 7 months ago
- [ICML 2024] Assessing the Brittleness of Safety Alignment via Pruning and Low-Rank Modifications☆76Updated last month
- RWKU: Benchmarking Real-World Knowledge Unlearning for Large Language Models. NeurIPS 2024☆74Updated 7 months ago
- Official Repository for The Paper: Safety Alignment Should Be Made More Than Just a Few Tokens Deep☆115Updated 3 weeks ago
- ☆36Updated 7 months ago
- [ICLR 2025] A Closer Look at Machine Unlearning for Large Language Models☆26Updated 5 months ago
- A Mechanistic Understanding of Alignment Algorithms: A Case Study on DPO and Toxicity.☆72Updated 2 months ago
- Official repo for NeurIPS'24 paper "WAGLE: Strategic Weight Attribution for Effective and Modular Unlearning in Large Language Models"☆14Updated 4 months ago
- [ICLR'24] RAIN: Your Language Models Can Align Themselves without Finetuning☆92Updated 11 months ago
- ☆28Updated 10 months ago
- [NeurIPS 2024 D&B] Evaluating Copyright Takedown Methods for Language Models☆17Updated 9 months ago
- ☆23Updated 9 months ago
- Improved Few-Shot Jailbreaking Can Circumvent Aligned Language Models and Their Defenses (NeurIPS 2024)☆61Updated 4 months ago
- code for EMNLP 2024 paper: Neuron-Level Knowledge Attribution in Large Language Models☆32Updated 5 months ago
- ☆38Updated last year
- Official repository for ICML 2024 paper "On Prompt-Driven Safeguarding for Large Language Models"☆91Updated 8 months ago
- Röttger et al. (NAACL 2024): "XSTest: A Test Suite for Identifying Exaggerated Safety Behaviours in Large Language Models"☆97Updated 2 months ago
- ☆18Updated last month
- ☆31Updated 2 months ago
- This is the official code for the paper "Booster: Tackling Harmful Fine-tuning for Large Language Models via Attenuating Harmful Perturba…☆26Updated last month
- A lightweight library for large laguage model (LLM) jailbreaking defense.☆51Updated 6 months ago
- This is the official code for the paper "Lazy Safety Alignment for Large Language Models against Harmful Fine-tuning" (NeurIPS2024)☆20Updated 8 months ago
- A curated list of resources for activation engineering☆74Updated this week
- This repo is for the safety topic, including attacks, defenses and studies related to reasoning and RL☆18Updated this week
- Benchmark evaluation code for "SORRY-Bench: Systematically Evaluating Large Language Model Safety Refusal" (ICLR 2025)☆52Updated 2 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