hartvigsen-group / composable-interventionsLinks
☆28Updated 7 months ago
Alternatives and similar repositories for composable-interventions
Users that are interested in composable-interventions are comparing it to the libraries listed below
Sorting:
- ☆50Updated last year
- Stanford NLP Python library for benchmarking the utility of LLM interpretability methods☆136Updated 3 months ago
- ☆15Updated last year
- ☆33Updated 9 months ago
- Confidence Regulation Neurons in Language Models (NeurIPS 2024)☆12Updated 8 months ago
- Exploration of automated dataset selection approaches at large scales.☆47Updated 7 months ago
- Optimize Any User-defined Compound AI Systems☆49Updated last month
- Recycling diverse models☆45Updated 2 years ago
- ☆38Updated last year
- Code for "Seeking Neural Nuggets: Knowledge Transfer in Large Language Models from a Parametric Perspective"☆32Updated last year
- [NeurIPS'23] Aging with GRACE: Lifelong Model Editing with Discrete Key-Value Adaptors☆81Updated 9 months ago
- An official implementation of "Catastrophic Failure of LLM Unlearning via Quantization" (ICLR 2025)☆31Updated 7 months ago
- ☆20Updated last year
- Test-time-training on nearest neighbors for large language models☆46Updated last year
- Codebase for Context-aware Meta-learned Loss Scaling (CaMeLS). https://arxiv.org/abs/2305.15076.☆25Updated last year
- EMNLP 2024: Model Editing Harms General Abilities of Large Language Models: Regularization to the Rescue☆37Updated 4 months ago
- ☆52Updated 6 months ago
- PaCE: Parsimonious Concept Engineering for Large Language Models (NeurIPS 2024)☆40Updated 11 months ago
- Official code repository for Correct-N-Contrast☆23Updated 3 years ago
- Learning adapter weights from task descriptions☆19Updated last year
- Lightweight Adapting for Black-Box Large Language Models☆23Updated last year
- [NeurIPS 2024] Goldfish Loss: Mitigating Memorization in Generative LLMs☆92Updated 10 months ago
- ☆30Updated 8 months ago
- Is In-Context Learning Sufficient for Instruction Following in LLMs? [ICLR 2025]☆31Updated 8 months ago
- Few-shot Learning with Auxiliary Data☆31Updated last year
- Skill-It! A Data-Driven Skills Framework for Understanding and Training Language Models☆47Updated last year
- ☆48Updated last year
- This is the repo for constructing a comprehensive and rigorous evaluation framework for LLM calibration.☆13Updated last year
- Codebase for Inference-Time Policy Adapters☆24Updated last year
- Code for reproducing our paper "Low Rank Adapting Models for Sparse Autoencoder Features"☆14Updated 6 months ago