Liuhong99 / implicitbiasmlmcodeLinks
☆13Updated 2 years ago
Alternatives and similar repositories for implicitbiasmlmcode
Users that are interested in implicitbiasmlmcode 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
- ☆32Updated last year
- ☆80Updated 3 years ago
- Implementation of Gradient Information Optimization (GIO) for effective and scalable training data selection☆14Updated 2 years ago
- Long Is More for Alignment: A Simple but Tough-to-Beat Baseline for Instruction Fine-Tuning [ICML 2024]☆21Updated last year
- 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 last year
- `dattri` is a PyTorch library for developing, benchmarking, and deploying efficient data attribution algorithms.☆107Updated last week
- 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
- ☆51Updated 2 years ago
- ☆51Updated 2 years ago
- ☆103Updated 2 years ago
- Test-time-training on nearest neighbors for large language models☆49Updated last year
- Experiments and code to generate the GINC small-scale in-context learning dataset from "An Explanation for In-context Learning as Implici…☆105Updated 2 years ago
- Offcial Repo of Paper "Eliminating Position Bias of Language Models: A Mechanistic Approach""☆19Updated 7 months ago
- Evaluate interpretability methods on localizing and disentangling concepts in LLMs.☆57Updated 3 months ago
- [NeurIPS'23] Aging with GRACE: Lifelong Model Editing with Discrete Key-Value Adaptors☆83Updated last year
- ☆51Updated 2 years ago
- ☆29Updated last year
- This is the repository for "Model Merging by Uncertainty-Based Gradient Matching", ICLR 2024.☆29Updated last year
- Forcing Diffuse Distributions out of Language Models☆18Updated last year
- Code for the paper "Distinguishing the Knowable from the Unknowable with Language Models"☆11Updated last year
- Augmenting Statistical Models with Natural Language Parameters☆29Updated last year
- Code for "Training Neural Networks with Fixed Sparse Masks" (NeurIPS 2021).☆59Updated 4 years ago
- AI Logging for Interpretability and Explainability🔬☆140Updated last year
- Efficient empirical NTKs in PyTorch☆22Updated 3 years ago
- Learning adapter weights from task descriptions☆19Updated 2 years ago
- Influence Functions with (Eigenvalue-corrected) Kronecker-Factored Approximate Curvature☆178Updated 7 months ago
- Conformal Language Modeling☆32Updated 2 years ago
- ☆103Updated last year
- This pytorch package implements PLATON: Pruning Large Transformer Models with Upper Confidence Bound of Weight Importance (ICML 2022).☆46Updated 3 years ago