arumaekawa / DiLMLinks
Implementaiton of "DiLM: Distilling Dataset into Language Model for Text-level Dataset Distillation" (accepted by NAACL2024 Findings)".
☆23Updated 6 months ago
Alternatives and similar repositories for DiLM
Users that are interested in DiLM are comparing it to the libraries listed below
Sorting:
- Official repository of "Localizing Task Information for Improved Model Merging and Compression" [ICML 2024]☆49Updated 10 months ago
- [NeurIPS 2024 Spotlight] EMR-Merging: Tuning-Free High-Performance Model Merging☆67Updated 6 months ago
- Code for paper "Parameter Efficient Multi-task Model Fusion with Partial Linearization"☆21Updated 11 months ago
- AdaMerging: Adaptive Model Merging for Multi-Task Learning. ICLR, 2024.☆88Updated 10 months ago
- Representation Surgery for Multi-Task Model Merging. ICML, 2024.☆46Updated 10 months ago
- Localize-and-Stitch: Efficient Model Merging via Sparse Task Arithmetic☆28Updated 7 months ago
- Source code of "Task arithmetic in the tangent space: Improved editing of pre-trained models".☆104Updated 2 years ago
- [ACL 2024] Code and data for "Machine Unlearning of Pre-trained Large Language Models"☆59Updated 11 months ago
- ☆73Updated 3 years ago
- ☆17Updated 7 months ago
- Analyzing and Reducing Catastrophic Forgetting in Parameter Efficient Tuning☆34Updated 9 months ago
- LoRA-XS: Low-Rank Adaptation with Extremely Small Number of Parameters☆35Updated last month
- ☆25Updated 5 months ago
- ☆86Updated 2 years ago
- Official code for SEAL: Steerable Reasoning Calibration of Large Language Models for Free☆40Updated 4 months ago
- Github repo for NeurIPS 2024 paper "Safe LoRA: the Silver Lining of Reducing Safety Risks when Fine-tuning Large Language Models"☆18Updated last month
- This is the official code for the paper "Booster: Tackling Harmful Fine-tuning for Large Language Models via Attenuating Harmful Perturba…☆29Updated 5 months ago
- Awesome-Low-Rank-Adaptation☆115Updated 10 months ago
- [ICML 2024] Safety Fine-Tuning at (Almost) No Cost: A Baseline for Vision Large Language Models.☆74Updated 7 months ago
- A curated list of Model Merging methods.☆92Updated 11 months ago
- "In-Context Unlearning: Language Models as Few Shot Unlearners". Martin Pawelczyk, Seth Neel* and Himabindu Lakkaraju*; ICML 2024.☆28Updated last year
- ECSO (Make MLLM safe without neither training nor any external models!) (https://arxiv.org/abs/2403.09572)☆30Updated 10 months ago
- [ECCV 2024] Official PyTorch Implementation of "How Many Unicorns Are in This Image? A Safety Evaluation Benchmark for Vision LLMs"☆82Updated last year
- [EMNLP 2023, Main Conference] Sparse Low-rank Adaptation of Pre-trained Language Models☆81Updated last year
- [NeurIPS23 (Spotlight)] "Model Sparsity Can Simplify Machine Unlearning" by Jinghan Jia*, Jiancheng Liu*, Parikshit Ram, Yuguang Yao, Gao…☆77Updated last year
- This repository is the official implementation of Dataset Condensation with Contrastive Signals (DCC), accepted at ICML 2022.☆22Updated 3 years ago
- [ICLR 2025] Code&Data for the paper "Super(ficial)-alignment: Strong Models May Deceive Weak Models in Weak-to-Strong Generalization"☆13Updated last year
- ☆30Updated 4 months ago
- [NeurIPS 2023] "Diversified Outlier Exposure for Out-of-Distribution Detection via Informative Extrapolation"☆11Updated last year
- ☆25Updated 5 months ago