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:
- Official Code for ACL 2023 paper: "Ethicist: Targeted Training Data Extraction Through Loss Smoothed Soft Prompting and Calibrated Confid…☆23Updated 2 years 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
- Restore safety in fine-tuned language models through task arithmetic☆31Updated last year
- Methods and evaluation for aligning language models temporally☆30Updated last year
- Official repository for MATES: Model-Aware Data Selection for Efficient Pretraining with Data Influence Models [NeurIPS 2024]☆79Updated last year
- EMNLP 2024: Model Editing Harms General Abilities of Large Language Models: Regularization to the Rescue☆38Updated 8 months ago
- ☆15Updated last year
- Crawl & visualize ICLR papers and reviews.☆18Updated 3 years ago
- ☆39Updated 2 years ago
- ☆13Updated 3 years ago
- Data Valuation on In-Context Examples (ACL23)☆24Updated last year
- 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 2025 Main] ConceptVectors Benchmark and Code for the paper "Intrinsic Evaluation of Unlearning Using Parametric Knowledge Traces"☆39Updated 5 months ago
- ☆48Updated last year
- Official Repository for Dataset Inference for LLMs☆43Updated last year
- [ICLR 2024] Unveiling the Pitfalls of Knowledge Editing for Large Language Models☆22Updated last year
- Code & Data for our Paper "Alleviating Hallucinations of Large Language Models through Induced Hallucinations"☆69Updated last year
- ☆41Updated 2 years ago
- [Findings of EMNLP22] From Mimicking to Integrating: Knowledge Integration for Pre-Trained Language Models☆19Updated 2 years ago
- [ICML 2023] Tuning Language Models as Training Data Generators for Augmentation-Enhanced Few-Shot Learning☆44Updated 2 years ago
- Official Code Repository for [AutoScale📈: Scale-Aware Data Mixing for Pre-Training LLMs] Published as a conference paper at **COLM 2025*…☆13Updated 6 months ago
- We have released the code and demo program required for LLM with self-verification☆62Updated 2 years ago
- [ACL 2024] Code and data for "Machine Unlearning of Pre-trained Large Language Models"☆66Updated last year
- ☆26Updated 2 years ago
- A Kernel-Based View of Language Model Fine-Tuning https://arxiv.org/abs/2210.05643☆78Updated 2 years ago
- self-adaptive in-context learning☆45Updated 2 years ago
- Code for "Seeking Neural Nuggets: Knowledge Transfer in Large Language Models from a Parametric Perspective"☆33Updated last year
- Implementation of the paper "Exploring the Universal Vulnerability of Prompt-based Learning Paradigm" on Findings of NAACL 2022☆32Updated 3 years ago
- [Findings of ACL 2023] Communication Efficient Federated Learning for Multilingual Machine Translation with Adapter☆12Updated 2 years ago
- Source code for the TMLR paper "Black-Box Prompt Learning for Pre-trained Language Models"☆57Updated 2 years ago