SLIT-AI / ADPALinks
[ICLR2025 Spotlight] Advantage-Guided Distillation for Preference Alignment in Small Language Models
☆24Updated 9 months ago
Alternatives and similar repositories for ADPA
Users that are interested in ADPA are comparing it to the libraries listed below
Sorting:
- Representation Surgery for Multi-Task Model Merging. ICML, 2024.☆46Updated last year
- Code for paper "Parameter Efficient Multi-task Model Fusion with Partial Linearization"☆24Updated last year
- official code repo for paper "Merging Models on the Fly Without Retraining: A Sequential Approach to Scalable Continual Model Merging"☆22Updated last month
- [NeurIPS 2022] Make Sharpness-Aware Minimization Stronger: A Sparsified Perturbation Approach -- Official Implementation☆46Updated 2 years ago
- AdaMerging: Adaptive Model Merging for Multi-Task Learning. ICLR, 2024.☆96Updated last year
- Analyzing and Reducing Catastrophic Forgetting in Parameter Efficient Tuning☆36Updated last year
- ☆28Updated last year
- Preprint: Asymmetry in Low-Rank Adapters of Foundation Models☆37Updated last year
- [ICML 2023] "Robust Weight Signatures: Gaining Robustness as Easy as Patching Weights?" by Ruisi Cai, Zhenyu Zhang, Zhangyang Wang☆16Updated 2 years ago
- [ACM Multimedia 2025] This is the official repo for Debiasing Large Visual Language Models, including a Post-Hoc debias method and Visual…☆82Updated 9 months ago
- Official PyTorch implementation of "Multisize Dataset Condensation" (ICLR'24 Oral)☆15Updated last year
- [CVPR23] "Understanding and Improving Visual Prompting: A Label-Mapping Perspective" by Aochuan Chen, Yuguang Yao, Pin-Yu Chen, Yihua Zha…☆53Updated 2 years ago
- [ACL 2025 Findings] Official pytorch implementation of "Don't Miss the Forest for the Trees: Attentional Vision Calibration for Large Vis…☆21Updated last year
- [JMLR] Gradual Domain Adaptation: Theory and Algorithms☆11Updated 10 months ago
- Code for paper "Merging Multi-Task Models via Weight-Ensembling Mixture of Experts"☆29Updated last year
- [ECCV 2024] Official PyTorch Implementation of "How Many Unicorns Are in This Image? A Safety Evaluation Benchmark for Vision LLMs"☆84Updated 2 years ago
- ☆32Updated 6 months ago
- Respect to the input tensor instead of paramters of NN☆21Updated 3 years ago
- The official repository for paper "MLLM-Protector: Ensuring MLLM’s Safety without Hurting Performance"☆44Updated last year
- [NeurIPS 2024 Spotlight] EMR-Merging: Tuning-Free High-Performance Model Merging☆72Updated 8 months ago
- ECSO (Make MLLM safe without neither training nor any external models!) (https://arxiv.org/abs/2403.09572)☆34Updated last year
- Dataset pruning for ImageNet and LAION-2B.☆79Updated last year
- Less is More: Task-aware Layer-wise Distillation for Language Model Compression (ICML2023)☆40Updated 2 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
- Official repository of "Localizing Task Information for Improved Model Merging and Compression" [ICML 2024]☆51Updated last year
- Metrics for "Beyond neural scaling laws: beating power law scaling via data pruning " (NeurIPS 2022 Outstanding Paper Award)☆57Updated 2 years ago
- Evaluate robustness of adaptation methods on large vision-language models☆19Updated 2 years ago
- [NeurIPS2023] "Selectivity Drives Productivity: Efficient Dataset Pruning for Enhanced Transfer Learning" by Yihua Zhang*, Yimeng Zhang*,…☆14Updated 2 years ago
- LISA: Layerwise Importance Sampling for Memory-Efficient Large Language Model Fine-Tuning☆36Updated last year
- PyTorch implementation of paper "Sparse Parameterization for Epitomic Dataset Distillation" in NeurIPS 2023.☆21Updated last year