nik-dim / tall_masksLinks
Official repository of "Localizing Task Information for Improved Model Merging and Compression" [ICML 2024]
☆51Updated last year
Alternatives and similar repositories for tall_masks
Users that are interested in tall_masks are comparing it to the libraries listed below
Sorting:
- Source code of "Task arithmetic in the tangent space: Improved editing of pre-trained models".☆106Updated 2 years ago
- [NeurIPS 2024 Spotlight] EMR-Merging: Tuning-Free High-Performance Model Merging☆72Updated 8 months ago
- AdaMerging: Adaptive Model Merging for Multi-Task Learning. ICLR, 2024.☆96Updated last year
- Code for paper "Parameter Efficient Multi-task Model Fusion with Partial Linearization"☆23Updated last year
- official code repo for paper "Merging Models on the Fly Without Retraining: A Sequential Approach to Scalable Continual Model Merging"☆21Updated last month
- Localize-and-Stitch: Efficient Model Merging via Sparse Task Arithmetic☆30Updated 2 months ago
- Representation Surgery for Multi-Task Model Merging. ICML, 2024.☆46Updated last year
- DataInf: Efficiently Estimating Data Influence in LoRA-tuned LLMs and Diffusion Models (ICLR 2024)☆75Updated last year
- ☆79Updated 3 years ago
- [ICML 2024] Assessing the Brittleness of Safety Alignment via Pruning and Low-Rank Modifications☆86Updated 7 months ago
- ☆30Updated 8 months ago
- This is the official code for the paper "Booster: Tackling Harmful Fine-tuning for Large Language Models via Attenuating Harmful Perturba…☆33Updated 8 months ago
- Code for paper "Merging Multi-Task Models via Weight-Ensembling Mixture of Experts"☆29Updated last year
- [COLM 2025] SEAL: Steerable Reasoning Calibration of Large Language Models for Free☆45Updated 7 months ago
- [NeurIPS 2024] "Can Language Models Perform Robust Reasoning in Chain-of-thought Prompting with Noisy Rationales?"☆37Updated 4 months ago
- A curated list of Model Merging methods.☆92Updated last year
- Implementaiton of "DiLM: Distilling Dataset into Language Model for Text-level Dataset Distillation" (accepted by NAACL2024 Findings)".☆24Updated 9 months ago
- ☆68Updated last year
- ☆51Updated last year
- ☆18Updated last year
- [ICLR 2025] "Rethinking LLM Unlearning Objectives: A Gradient Perspective and Go Beyond"☆13Updated 8 months ago
- ☆11Updated 3 months ago
- ☆63Updated 8 months ago
- Code for paper: Aligning Large Language Models with Representation Editing: A Control Perspective☆34Updated 9 months ago
- Github repo for NeurIPS 2024 paper "Safe LoRA: the Silver Lining of Reducing Safety Risks when Fine-tuning Large Language Models"☆22Updated 2 months ago
- [EMNLP 25] An effective and interpretable weight-editing method for mitigating overly short reasoning in LLMs, and a mechanistic study un…☆15Updated last month
- [ACL 2024] Code and data for "Machine Unlearning of Pre-trained Large Language Models"☆62Updated last year
- [EMNLP 2023, Main Conference] Sparse Low-rank Adaptation of Pre-trained Language Models☆84Updated last year
- [ICML 2024] Unveiling and Harnessing Hidden Attention Sinks: Enhancing Large Language Models without Training through Attention Calibrati…☆46Updated last year
- Task Singular Vectors: Reducing Task Interference in Model Merging. Merge models avoiding task interference through separable models.☆36Updated 3 months ago