yaojin17 / Unlearning_LLMLinks
[ACL 2024] Code and data for "Machine Unlearning of Pre-trained Large Language Models"
☆66Updated last year
Alternatives and similar repositories for Unlearning_LLM
Users that are interested in Unlearning_LLM are comparing it to the libraries listed below
Sorting:
- [ICLR'24] RAIN: Your Language Models Can Align Themselves without Finetuning☆98Updated last year
- ☆72Updated last year
- RWKU: Benchmarking Real-World Knowledge Unlearning for Large Language Models. NeurIPS 2024☆89Updated last year
- ☆44Updated last year
- LLM Unlearning☆181Updated 2 years ago
- [ICLR'25 Spotlight] Min-K%++: Improved baseline for detecting pre-training data of LLMs☆52Updated 8 months ago
- In-Context Sharpness as Alerts: An Inner Representation Perspective for Hallucination Mitigation (ICML 2024)☆62Updated last year
- ☆32Updated 10 months ago
- [EMNLP 2025 Main] ConceptVectors Benchmark and Code for the paper "Intrinsic Evaluation of Unlearning Using Parametric Knowledge Traces"☆40Updated 5 months ago
- ☆37Updated 2 years ago
- ☆48Updated 11 months ago
- ICLR2024 Paper. Showing properties of safety tuning and exaggerated safety.☆93Updated last year
- Official repo for EMNLP'24 paper "SOUL: Unlocking the Power of Second-Order Optimization for LLM Unlearning"☆29Updated last year
- [ICLR 2025] A Closer Look at Machine Unlearning for Large Language Models☆43Updated last year
- [ICML 2024] Assessing the Brittleness of Safety Alignment via Pruning and Low-Rank Modifications☆89Updated 10 months ago
- ☆184Updated 2 months ago
- [NeurIPS25] Official repo for "Simplicity Prevails: Rethinking Negative Preference Optimization for LLM Unlearning"☆40Updated 4 months ago
- [ACL 2024] Shifting Attention to Relevance: Towards the Predictive Uncertainty Quantification of Free-Form Large Language Models☆60Updated last year
- ☆69Updated 10 months ago
- ☆28Updated last month
- A Mechanistic Understanding of Alignment Algorithms: A Case Study on DPO and Toxicity.☆85Updated 10 months ago
- 🤫 Code and benchmark for our ICLR 2024 spotlight paper: "Can LLMs Keep a Secret? Testing Privacy Implications of Language Models via Con…☆50Updated 2 years ago
- Safe Unlearning: A Surprisingly Effective and Generalizable Solution to Defend Against Jailbreak Attacks☆32Updated last year
- ☆30Updated last year
- Official Repository for The Paper: Safety Alignment Should Be Made More Than Just a Few Tokens Deep☆172Updated 9 months ago
- "In-Context Unlearning: Language Models as Few Shot Unlearners". Martin Pawelczyk, Seth Neel* and Himabindu Lakkaraju*; ICML 2024.☆29Updated 2 years ago
- [ECCV 2024] Official PyTorch Implementation of "How Many Unicorns Are in This Image? A Safety Evaluation Benchmark for Vision LLMs"☆86Updated 2 years ago
- Röttger et al. (NAACL 2024): "XSTest: A Test Suite for Identifying Exaggerated Safety Behaviours in Large Language Models"☆126Updated 11 months ago
- NeurIPS'24 - LLM Safety Landscape☆39Updated 3 months ago
- [COLM 2025] SEAL: Steerable Reasoning Calibration of Large Language Models for Free☆52Updated 9 months ago