UCSB-NLP-Chang / causal_unlearnLinks
[EMNLP 2024] "Revisiting Who's Harry Potter: Towards Targeted Unlearning from a Causal Intervention Perspective"
☆32Updated last year
Alternatives and similar repositories for causal_unlearn
Users that are interested in causal_unlearn are comparing it to the libraries listed below
Sorting:
- RWKU: Benchmarking Real-World Knowledge Unlearning for Large Language Models. NeurIPS 2024☆85Updated last year
- ☆65Updated 9 months ago
- [ACL 2024] Code and data for "Machine Unlearning of Pre-trained Large Language Models"☆65Updated last year
- [ICLR'25 Spotlight] Min-K%++: Improved baseline for detecting pre-training data of LLMs☆51Updated 6 months ago
- ☆38Updated 2 years ago
- ☆43Updated last year
- ☆26Updated 2 years ago
- In-Context Sharpness as Alerts: An Inner Representation Perspective for Hallucination Mitigation (ICML 2024)☆63Updated last year
- A Mechanistic Understanding of Alignment Algorithms: A Case Study on DPO and Toxicity.☆84Updated 9 months ago
- [ACL 2023] Knowledge Unlearning for Mitigating Privacy Risks in Language Models☆86Updated last year
- ☆29Updated last year
- [EMNLP 2025 Main] ConceptVectors Benchmark and Code for the paper "Intrinsic Evaluation of Unlearning Using Parametric Knowledge Traces"☆39Updated 4 months ago
- ☆69Updated last year
- [EMNLP 2023] Poisoning Retrieval Corpora by Injecting Adversarial Passages https://arxiv.org/abs/2310.19156☆43Updated 2 years ago
- LLM Unlearning☆178Updated 2 years ago
- [NAACL'25 Oral] Steering Knowledge Selection Behaviours in LLMs via SAE-Based Representation Engineering☆67Updated last year
- [ICLR'24] RAIN: Your Language Models Can Align Themselves without Finetuning☆98Updated last year
- source code for NeurIPS'24 paper "HaloScope: Harnessing Unlabeled LLM Generations for Hallucination Detection"☆64Updated 8 months ago
- 🤫 Code and benchmark for our ICLR 2024 spotlight paper: "Can LLMs Keep a Secret? Testing Privacy Implications of Language Models via Con…☆49Updated 2 years ago
- EMNLP 2024: Model Editing Harms General Abilities of Large Language Models: Regularization to the Rescue☆38Updated 6 months ago
- A curated list of resources for activation engineering☆119Updated 2 months ago
- code repo for ICLR 2024 paper "Can LLMs Express Their Uncertainty? An Empirical Evaluation of Confidence Elicitation in LLMs"☆137Updated last year
- [ACL 2024] Shifting Attention to Relevance: Towards the Predictive Uncertainty Quantification of Free-Form Large Language Models☆59Updated last year
- Official code for ICML 2024 paper on Persona In-Context Learning (PICLe)☆26Updated last year
- ☆29Updated last year
- ☆57Updated 2 years ago
- ICLR2024 Paper. Showing properties of safety tuning and exaggerated safety.☆89Updated last year
- LoFiT: Localized Fine-tuning on LLM Representations☆45Updated 11 months ago
- ☆26Updated last year
- ☆48Updated 10 months ago