HanseulJo / position-couplingLinks
Position Coupling: Improving Length Generalization of Arithmetic Transformers Using Task Structure (NeurIPS 2024) + Arithmetic Transformers Can Length-Generalize in Both Operand Length and Count (ICLR 2025)
☆11Updated 4 months ago
Alternatives and similar repositories for position-coupling
Users that are interested in position-coupling are comparing it to the libraries listed below
Sorting:
- ☆20Updated last year
- Revisiting Efficient Training Algorithms For Transformer-based Language Models (NeurIPS 2023)☆81Updated 2 years ago
- Recycling diverse models☆45Updated 2 years ago
- ☆13Updated last month
- ☆31Updated last year
- Lightweight Adapting for Black-Box Large Language Models☆23Updated last year
- Bayesian Low-Rank Adaptation for Large Language Models☆35Updated last year
- ☆33Updated 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 4 months ago
- A modern look at the relationship between sharpness and generalization [ICML 2023]☆43Updated last year
- This repository includes code to reproduce the tables in "Loss Landscapes are All You Need: Neural Network Generalization Can Be Explaine…☆38Updated 2 years ago
- ☆28Updated 6 months ago
- Source code of "Task arithmetic in the tangent space: Improved editing of pre-trained models".☆104Updated 2 years ago
- ☆50Updated last year
- Code for "Training Neural Networks with Fixed Sparse Masks" (NeurIPS 2021).☆59Updated 3 years ago
- ☆28Updated 6 months ago
- About Official PyTorch implementation of "Query-Efficient Black-Box Red Teaming via Bayesian Optimization" (ACL'23)☆15Updated 2 years ago
- This is the repository for "Model Merging by Uncertainty-Based Gradient Matching", ICLR 2024.☆28Updated last year
- Code for NeurIPS 2024 Spotlight: "Scaling Laws and Compute-Optimal Training Beyond Fixed Training Durations"☆82Updated 10 months ago
- Self-Supervised Alignment with Mutual Information☆21Updated last year
- ☆51Updated last year
- ☆73Updated 3 years ago
- ☆70Updated 8 months ago
- Code for the paper "Data Feedback Loops: Model-driven Amplification of Dataset Biases"☆16Updated 2 years ago
- ☆33Updated 2 years ago
- Official code repo for paper "Great Memory, Shallow Reasoning: Limits of kNN-LMs"☆23Updated 4 months ago
- SLTrain: a sparse plus low-rank approach for parameter and memory efficient pretraining (NeurIPS 2024)☆33Updated 10 months ago
- Official repository for our paper, Transformers Learn Higher-Order Optimization Methods for In-Context Learning: A Study with Linear Mode…☆18Updated 9 months ago
- ☆45Updated last year
- [ICLR 2023] "Sparse MoE as the New Dropout: Scaling Dense and Self-Slimmable Transformers" by Tianlong Chen*, Zhenyu Zhang*, Ajay Jaiswal…☆54Updated 2 years ago