daeveraert / gradient-information-optimizationLinks
Implementation of Gradient Information Optimization (GIO) for effective and scalable training data selection
☆14Updated 2 years ago
Alternatives and similar repositories for gradient-information-optimization
Users that are interested in gradient-information-optimization are comparing it to the libraries listed below
Sorting:
- A Kernel-Based View of Language Model Fine-Tuning https://arxiv.org/abs/2210.05643☆78Updated 2 years ago
- ☆43Updated 2 years ago
- ☆51Updated 2 years ago
- ☆51Updated last year
- ☆80Updated 3 years ago
- Long Is More for Alignment: A Simple but Tough-to-Beat Baseline for Instruction Fine-Tuning [ICML 2024]☆19Updated last year
- ☆29Updated last year
- Learning adapter weights from task descriptions☆19Updated 2 years ago
- AI Logging for Interpretability and Explainability🔬☆133Updated last year
- ☆16Updated last year
- [NeurIPS'23] Aging with GRACE: Lifelong Model Editing with Discrete Key-Value Adaptors☆82Updated 11 months ago
- Test-time-training on nearest neighbors for large language models☆48Updated last year
- Fairer Preferences Elicit Improved Human-Aligned Large Language Model Judgments (Zhou et al., EMNLP 2024)☆13Updated last year
- `dattri` is a PyTorch library for developing, benchmarking, and deploying efficient data attribution algorithms.☆95Updated last week
- This is the official implementation for our ACL 2024 paper: "Causal Estimation of Memorisation Profiles".☆23Updated 8 months ago
- An implementation of online data mixing for the Pile dataset, based on the GPT-NeoX library.☆13Updated last year
- [ICML 2024] Junk DNA Hypothesis: A Task-Centric Angle of LLM Pre-trained Weights through Sparsity; Lu Yin*, Ajay Jaiswal*, Shiwei Liu, So…☆16Updated 7 months ago
- Official repository for ICLR 2024 Spotlight paper "Large Language Models Are Not Robust Multiple Choice Selectors"☆42Updated 6 months ago
- This is the repository for "Model Merging by Uncertainty-Based Gradient Matching", ICLR 2024.☆29Updated last year
- ☆30Updated 2 years ago
- Uncertainty quantification for in-context learning of large language models☆16Updated last year
- code for EMNLP 2024 paper: How do Large Language Models Learn In-Context? Query and Key Matrices of In-Context Heads are Two Towers for M…☆13Updated last year
- The accompanying code for "Transformer Feed-Forward Layers Are Key-Value Memories". Mor Geva, Roei Schuster, Jonathan Berant, and Omer Le…☆99Updated 4 years ago
- ☆102Updated 2 years ago
- ☆32Updated last year
- ☆29Updated 9 months ago
- Skill-It! A Data-Driven Skills Framework for Understanding and Training Language Models☆47Updated 2 years ago
- Providing the answer to "How to do patching on all available SAEs on GPT-2?". It is an official repository of the implementation of the p…☆12Updated 10 months ago
- Is In-Context Learning Sufficient for Instruction Following in LLMs? [ICLR 2025]☆31Updated 10 months ago
- DataInf: Efficiently Estimating Data Influence in LoRA-tuned LLMs and Diffusion Models (ICLR 2024)☆77Updated last year