daeveraert / gradient-information-optimizationLinks
Implementation of Gradient Information Optimization (GIO) for effective and scalable training data selection
☆14Updated last year
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:
- ☆35Updated last year
- A Kernel-Based View of Language Model Fine-Tuning https://arxiv.org/abs/2210.05643☆76Updated last year
- Codebase for ICML submission "DOGE: Domain Reweighting with Generalization Estimation"☆17Updated last year
- ☆11Updated 2 years ago
- Learning adapter weights from task descriptions☆18Updated 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…☆11Updated 4 months ago
- Official code for SEAL: Steerable Reasoning Calibration of Large Language Models for Free☆25Updated 2 months ago
- Long Is More for Alignment: A Simple but Tough-to-Beat Baseline for Instruction Fine-Tuning [ICML 2024]☆17Updated last year
- ☆67Updated 3 years ago
- [ICML 2024] Junk DNA Hypothesis: A Task-Centric Angle of LLM Pre-trained Weights through Sparsity; Lu Yin*, Ajay Jaiswal*, Shiwei Liu, So…☆16Updated last month
- Bayesian low-rank adaptation for large language models☆23Updated last year
- ☆29Updated last year
- ☆14Updated 7 months ago
- ☆48Updated last year
- [NeurIPS'23] Aging with GRACE: Lifelong Model Editing with Discrete Key-Value Adaptors☆77Updated 5 months ago
- [ICLR 2023] "Sparse MoE as the New Dropout: Scaling Dense and Self-Slimmable Transformers" by Tianlong Chen*, Zhenyu Zhang*, Ajay Jaiswal…☆51Updated 2 years ago
- Code for "Tracing Knowledge in Language Models Back to the Training Data"☆38Updated 2 years ago
- This pytorch package implements PLATON: Pruning Large Transformer Models with Upper Confidence Bound of Weight Importance (ICML 2022).☆46Updated 2 years ago
- ☆9Updated last year
- This is the repository for "Model Merging by Uncertainty-Based Gradient Matching", ICLR 2024.☆27Updated last year
- Lightweight Adapting for Black-Box Large Language Models☆22Updated last year
- This is the official implementation of ScaleBiO: Scalable Bilevel Optimization for LLM Data Reweighting☆19Updated 10 months ago
- ☆15Updated 9 months ago
- 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…☆11Updated 6 months ago
- [ICML2024 Spotlight] Fine-Tuning Pre-trained Large Language Models Sparsely☆23Updated 11 months ago
- ☆49Updated last year
- This is the official implementation of TAGCOS: Task-agnostic Gradient Clustered Coreset Selection for Instruction Tuning Data☆10Updated 10 months ago
- Test-time-training on nearest neighbors for large language models☆41Updated last year
- Representation Surgery for Multi-Task Model Merging. ICML, 2024.☆45Updated 7 months ago
- ☆30Updated 10 months ago