Princeton-SysML / kNNLM_privacyLinks
Official implementation of Privacy Implications of Retrieval-Based Language Models (EMNLP 2023). https://arxiv.org/abs/2305.14888
☆37Updated last year
Alternatives and similar repositories for kNNLM_privacy
Users that are interested in kNNLM_privacy are comparing it to the libraries listed below
Sorting:
- Restore safety in fine-tuned language models through task arithmetic☆29Updated last year
- Official repository for MATES: Model-Aware Data Selection for Efficient Pretraining with Data Influence Models [NeurIPS 2024]☆76Updated last year
- 🤫 Code and benchmark for our ICLR 2024 spotlight paper: "Can LLMs Keep a Secret? Testing Privacy Implications of Language Models via Con…☆48Updated last year
- Official Code for ACL 2023 paper: "Ethicist: Targeted Training Data Extraction Through Loss Smoothed Soft Prompting and Calibrated Confid…☆23Updated 2 years ago
- Methods and evaluation for aligning language models temporally☆30Updated last year
- ☆15Updated last year
- [EMNLP 2025 Main] ConceptVectors Benchmark and Code for the paper "Intrinsic Evaluation of Unlearning Using Parametric Knowledge Traces"☆38Updated 2 months ago
- Code & Data for our Paper "Alleviating Hallucinations of Large Language Models through Induced Hallucinations"☆69Updated last year
- ☆47Updated 9 months ago
- ☆43Updated 2 years ago
- [NeurIPS'23] Aging with GRACE: Lifelong Model Editing with Discrete Key-Value Adaptors☆82Updated 10 months ago
- Data Valuation on In-Context Examples (ACL23)☆24Updated 10 months ago
- Offical code of the paper Large Language Models Are Implicitly Topic Models: Explaining and Finding Good Demonstrations for In-Context Le…☆75Updated last year
- EMNLP 2024: Model Editing Harms General Abilities of Large Language Models: Regularization to the Rescue☆37Updated 5 months ago
- Semi-Parametric Editing with a Retrieval-Augmented Counterfactual Model☆69Updated 3 years ago
- ☆41Updated 2 years ago
- ☆38Updated 2 years ago
- ☆13Updated 3 years ago
- Repository for "Propagating Knowledge Updates to LMs Through Distillation" (NeurIPS 2023).☆26Updated last year
- [ICLR 2024] Unveiling the Pitfalls of Knowledge Editing for Large Language Models☆22Updated last year
- We have released the code and demo program required for LLM with self-verification☆63Updated 2 years ago
- Official Code Repository for [AutoScale📈: Scale-Aware Data Mixing for Pre-Training LLMs] Published as a conference paper at **COLM 2025*…☆12Updated 3 months ago
- Lightweight tool to identify Data Contamination in LLMs evaluation☆52Updated last year
- ☆41Updated last year
- ☆23Updated last year
- ☆54Updated last year
- A Kernel-Based View of Language Model Fine-Tuning https://arxiv.org/abs/2210.05643☆78Updated 2 years ago
- [ACL 2024] Code and data for "Machine Unlearning of Pre-trained Large Language Models"☆62Updated last year
- [NeurIPS 2023 D&B Track] Code and data for paper "Revisiting Out-of-distribution Robustness in NLP: Benchmarks, Analysis, and LLMs Evalua…☆35Updated 2 years ago
- self-adaptive in-context learning☆45Updated 2 years ago