OPTML-Group / Unlearn-SimpleLinks
[NeurIPS25] Official repo for "Simplicity Prevails: Rethinking Negative Preference Optimization for LLM Unlearning"
☆40Updated 3 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:
- [ICLR 2025] A Closer Look at Machine Unlearning for Large Language Models☆42Updated last year
- This is the official code for the paper "Vaccine: Perturbation-aware Alignment for Large Language Models" (NeurIPS2024)☆49Updated last year
- ☆71Updated last year
- Official repo for EMNLP'24 paper "SOUL: Unlocking the Power of Second-Order Optimization for LLM Unlearning"☆29Updated last year
- ☆30Updated last year
- ☆43Updated last year
- ☆19Updated 6 months ago
- RWKU: Benchmarking Real-World Knowledge Unlearning for Large Language Models. NeurIPS 2024☆87Updated last year
- ☆68Updated 10 months ago
- Official repo for NeurIPS'24 paper "WAGLE: Strategic Weight Attribution for Effective and Modular Unlearning in Large Language Models"☆16Updated last year
- ☆27Updated last year
- ☆32Updated 10 months ago
- [ACL 2024] Code and data for "Machine Unlearning of Pre-trained Large Language Models"☆65Updated last year
- [ICML 2024] Assessing the Brittleness of Safety Alignment via Pruning and Low-Rank Modifications☆89Updated 9 months ago
- Github repo for NeurIPS 2024 paper "Safe LoRA: the Silver Lining of Reducing Safety Risks when Fine-tuning Large Language Models"☆25Updated 3 weeks ago
- This is the official code for the paper "Safety Tax: Safety Alignment Makes Your Large Reasoning Models Less Reasonable".☆26Updated 10 months ago
- [NeurIPS 2024 D&B] Evaluating Copyright Takedown Methods for Language Models☆17Updated last year
- This repo is for the safety topic, including attacks, defenses and studies related to reasoning and RL☆58Updated 4 months ago
- Official Repository for The Paper: Safety Alignment Should Be Made More Than Just a Few Tokens Deep☆166Updated 8 months ago
- ICLR2024 Paper. Showing properties of safety tuning and exaggerated safety.☆91Updated last year
- [NeurIPS 2024] Large Language Model Unlearning via Embedding-Corrupted Prompts☆36Updated last year
- This is the official code for the paper "Booster: Tackling Harmful Fine-tuning for Large Language Models via Attenuating Harmful Perturba…☆36Updated 9 months ago
- [COLM 2025] SEAL: Steerable Reasoning Calibration of Large Language Models for Free☆50Updated 9 months ago
- Röttger et al. (NAACL 2024): "XSTest: A Test Suite for Identifying Exaggerated Safety Behaviours in Large Language Models"☆122Updated 10 months ago
- LLM Unlearning☆178Updated 2 years ago
- source code for NeurIPS'24 paper "HaloScope: Harnessing Unlabeled LLM Generations for Hallucination Detection"☆64Updated 9 months ago
- ☆28Updated 3 weeks ago
- Code for Representation Bending Paper☆14Updated 6 months ago
- ☆182Updated last month
- [EMNLP 2024] "Revisiting Who's Harry Potter: Towards Targeted Unlearning from a Causal Intervention Perspective"☆32Updated last year