shauli-ravfogel / adv-kernel-removal
☆12Updated 2 years ago
Alternatives and similar repositories for adv-kernel-removal:
Users that are interested in adv-kernel-removal are comparing it to the libraries listed below
- ☆35Updated 2 years ago
- ☆36Updated last year
- ☆28Updated last year
- ☆12Updated 11 months ago
- Is In-Context Learning Sufficient for Instruction Following in LLMs? [ICLR 2025]☆29Updated 3 weeks ago
- Implementation of PaCE: Parsimonious Concept Engineering for Large Language Models (NeurIPS 2024)☆32Updated 3 months ago
- Repo for: When to Make Exceptions: Exploring Language Models as Accounts of Human Moral Judgment☆38Updated last year
- A library for efficient patching and automatic circuit discovery.☆53Updated 2 months ago
- ☆15Updated last year
- Spurious Features Everywhere - Large-Scale Detection of Harmful Spurious Features in ImageNet☆30Updated last year
- ☆30Updated last month
- ☆40Updated last year
- Code for the paper "Data Feedback Loops: Model-driven Amplification of Dataset Biases"☆15Updated 2 years ago
- ☆81Updated this week
- Sparse Autoencoder Training Library☆41Updated 3 months ago
- Package to optimize Adversarial Attacks against (Large) Language Models with Varied Objectives☆66Updated 11 months ago
- Source code and data for ADEPT: A DEbiasing PrompT Framework (AAAI-23).☆14Updated 2 months ago
- ☆15Updated last year
- Investigating the generalization behavior of LM probes trained to predict truth labels: (1) from one annotator to another, and (2) from e…☆26Updated 8 months ago
- PyTorch and NNsight implementation of AtP* (Kramar et al 2024, DeepMind)☆18Updated 3 weeks ago
- ☆28Updated 7 months ago
- The official repository of the paper "On the Exploitability of Instruction Tuning".☆58Updated last year
- An official implementation of "Catastrophic Failure of LLM Unlearning via Quantization" (ICLR 2025)☆25Updated last week
- ☆17Updated last month
- ☆29Updated this week
- Official PyTorch implementation of "Neural Relation Graph: A Unified Framework for Identifying Label Noise and Outlier Data" (NeurIPS'23)☆15Updated last year
- Align your LM to express calibrated verbal statements of confidence in its long-form generations.☆21Updated 8 months ago
- ☆20Updated 8 months ago