UCSB-NLP-Chang / causal_unlearnLinks
[EMNLP 2024] "Revisiting Who's Harry Potter: Towards Targeted Unlearning from a Causal Intervention Perspective"
☆27Updated 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:
- [ACL 2024] Code and data for "Machine Unlearning of Pre-trained Large Language Models"☆59Updated 10 months ago
- ☆27Updated last year
- ☆60Updated 5 months ago
- RWKU: Benchmarking Real-World Knowledge Unlearning for Large Language Models. NeurIPS 2024☆78Updated 10 months ago
- ☆41Updated 10 months ago
- In-Context Sharpness as Alerts: An Inner Representation Perspective for Hallucination Mitigation (ICML 2024)☆60Updated last year
- [EMNLP 2025 Main] ConceptVectors Benchmark and Code for the paper "Intrinsic Evaluation of Unlearning Using Parametric Knowledge Traces"☆36Updated last week
- ☆38Updated last year
- source code for NeurIPS'24 paper "HaloScope: Harnessing Unlabeled LLM Generations for Hallucination Detection"☆53Updated 4 months ago
- ☆59Updated last year
- Official code for ICML 2024 paper on Persona In-Context Learning (PICLe)☆26Updated last year
- LLM Unlearning☆174Updated last year
- 🤫 Code and benchmark for our ICLR 2024 spotlight paper: "Can LLMs Keep a Secret? Testing Privacy Implications of Language Models via Con…☆44Updated last year
- ☆22Updated 10 months ago
- code repo for ICLR 2024 paper "Can LLMs Express Their Uncertainty? An Empirical Evaluation of Confidence Elicitation in LLMs"☆130Updated last year
- code for EMNLP 2024 paper: Neuron-Level Knowledge Attribution in Large Language Models☆41Updated 9 months ago
- [ICLR'25 Spotlight] Min-K%++: Improved baseline for detecting pre-training data of LLMs☆42Updated 3 months ago
- A Mechanistic Understanding of Alignment Algorithms: A Case Study on DPO and Toxicity.☆76Updated 5 months ago
- ☆54Updated 2 years ago
- ☆26Updated last year
- ☆44Updated 6 months ago
- "Simplicity Prevails: Rethinking Negative Preference Optimization for LLM Unlearning" by Chongyu Fan*, Jiancheng Liu*, Licong Lin*, Jingh…☆31Updated 2 months ago
- [ICLR'24] RAIN: Your Language Models Can Align Themselves without Finetuning☆97Updated last year
- [ICLR 2025] A Closer Look at Machine Unlearning for Large Language Models☆36Updated 8 months ago
- Official repo for EMNLP'24 paper "SOUL: Unlocking the Power of Second-Order Optimization for LLM Unlearning"☆26Updated 10 months ago
- [NAACL'25 Oral] Steering Knowledge Selection Behaviours in LLMs via SAE-Based Representation Engineering☆63Updated 9 months ago
- [NeurIPS 2024 D&B] Evaluating Copyright Takedown Methods for Language Models☆17Updated last year
- ICLR2024 Paper. Showing properties of safety tuning and exaggerated safety.☆87Updated last year
- ☆28Updated 11 months ago
- [ICML 2024] Assessing the Brittleness of Safety Alignment via Pruning and Low-Rank Modifications☆82Updated 4 months ago