SALT-NLP / Efficient_UnlearningLinks
☆38Updated 2 years ago
Alternatives and similar repositories for Efficient_Unlearning
Users that are interested in Efficient_Unlearning are comparing it to the libraries listed below
Sorting:
- [ACL 2023] Knowledge Unlearning for Mitigating Privacy Risks in Language Models☆83Updated last year
- ☆41Updated last year
- ☆28Updated 7 months ago
- ICLR2024 Paper. Showing properties of safety tuning and exaggerated safety.☆87Updated last year
- RWKU: Benchmarking Real-World Knowledge Unlearning for Large Language Models. NeurIPS 2024☆83Updated last year
- [ACL 2024] Code and data for "Machine Unlearning of Pre-trained Large Language Models"☆60Updated last year
- LLM Unlearning☆176Updated 2 years ago
- [ICML 2024] Assessing the Brittleness of Safety Alignment via Pruning and Low-Rank Modifications☆85Updated 6 months ago
- ☆26Updated last year
- Semi-Parametric Editing with a Retrieval-Augmented Counterfactual Model☆68Updated 2 years ago
- ☆28Updated last year
- A Mechanistic Understanding of Alignment Algorithms: A Case Study on DPO and Toxicity.☆82Updated 7 months ago
- ☆66Updated last year
- [ACL 2024] Shifting Attention to Relevance: Towards the Predictive Uncertainty Quantification of Free-Form Large Language Models☆57Updated last year
- In-Context Sharpness as Alerts: An Inner Representation Perspective for Hallucination Mitigation (ICML 2024)☆61Updated last year
- [EMNLP 2023] Poisoning Retrieval Corpora by Injecting Adversarial Passages https://arxiv.org/abs/2310.19156☆40Updated last year
- [ICLR'25 Spotlight] Min-K%++: Improved baseline for detecting pre-training data of LLMs☆45Updated 5 months ago
- Source code and data for ADEPT: A DEbiasing PrompT Framework (AAAI-23).☆15Updated 10 months ago
- [ICLR'24] RAIN: Your Language Models Can Align Themselves without Finetuning☆99Updated last year
- ☆17Updated last year
- Röttger et al. (NAACL 2024): "XSTest: A Test Suite for Identifying Exaggerated Safety Behaviours in Large Language Models"☆116Updated 8 months ago
- Official code for ICML 2024 paper on Persona In-Context Learning (PICLe)☆26Updated last year
- This is the starter kit for the Trojan Detection Challenge 2023 (LLM Edition), a NeurIPS 2023 competition.☆89Updated last year
- DataInf: Efficiently Estimating Data Influence in LoRA-tuned LLMs and Diffusion Models (ICLR 2024)☆76Updated last year
- ☆154Updated 2 years ago
- ☆25Updated 4 months ago
- ☆179Updated last year
- ☆63Updated 7 months ago
- Official repository for ICML 2024 paper "On Prompt-Driven Safeguarding for Large Language Models"☆97Updated 5 months ago
- A resource repository for representation engineering in large language models☆138Updated 11 months ago