arumaekawa / DiLMLinks
Implementaiton of "DiLM: Distilling Dataset into Language Model for Text-level Dataset Distillation" (accepted by NAACL2024 Findings)".
☆27Updated 11 months ago
Alternatives and similar repositories for DiLM
Users that are interested in DiLM are comparing it to the libraries listed below
Sorting:
- AdaMerging: Adaptive Model Merging for Multi-Task Learning. ICLR, 2024.☆100Updated last year
- Official repository of "Localizing Task Information for Improved Model Merging and Compression" [ICML 2024]☆51Updated last month
- Code for paper "Parameter Efficient Multi-task Model Fusion with Partial Linearization"☆24Updated last year
- [NeurIPS 2024 Spotlight] EMR-Merging: Tuning-Free High-Performance Model Merging☆76Updated 11 months ago
- ☆32Updated 10 months ago
- Source code of "Task arithmetic in the tangent space: Improved editing of pre-trained models".☆108Updated 2 years ago
- ☆89Updated 3 years ago
- official code repo for paper "Merging Models on the Fly Without Retraining: A Sequential Approach to Scalable Continual Model Merging"☆22Updated 3 months ago
- Localize-and-Stitch: Efficient Model Merging via Sparse Task Arithmetic☆32Updated 4 months ago
- Representation Surgery for Multi-Task Model Merging. ICML, 2024.☆47Updated last year
- A Task of Fictitious Unlearning for VLMs☆28Updated 9 months ago
- ☆72Updated last year
- [ECCV 2024] Official PyTorch Implementation of "How Many Unicorns Are in This Image? A Safety Evaluation Benchmark for Vision LLMs"☆86Updated 2 years ago
- [ICML 2024] Safety Fine-Tuning at (Almost) No Cost: A Baseline for Vision Large Language Models.☆84Updated last year
- This is the official code for the paper "Booster: Tackling Harmful Fine-tuning for Large Language Models via Attenuating Harmful Perturba…☆36Updated 10 months ago
- [COLM 2025] SEAL: Steerable Reasoning Calibration of Large Language Models for Free☆52Updated 9 months ago
- [NeurIPS23 (Spotlight)] "Model Sparsity Can Simplify Machine Unlearning" by Jinghan Jia*, Jiancheng Liu*, Parikshit Ram, Yuguang Yao, Gao…☆81Updated last year
- AnyDoor: Test-Time Backdoor Attacks on Multimodal Large Language Models☆60Updated last year
- [AAAI, ICLR TP] Fast Machine Unlearning Without Retraining Through Selective Synaptic Dampening☆55Updated last year
- ☆24Updated last year
- "In-Context Unlearning: Language Models as Few Shot Unlearners". Martin Pawelczyk, Seth Neel* and Himabindu Lakkaraju*; ICML 2024.☆29Updated 2 years ago
- [ACL 2024] Code and data for "Machine Unlearning of Pre-trained Large Language Models"☆66Updated last year
- Code for paper "Merging Multi-Task Models via Weight-Ensembling Mixture of Experts"☆30Updated last year
- [ICLR 2025] "Rethinking LLM Unlearning Objectives: A Gradient Perspective and Go Beyond"☆17Updated 11 months ago
- ☆80Updated 3 years ago
- This is the official code for the paper "Safety Tax: Safety Alignment Makes Your Large Reasoning Models Less Reasonable".☆28Updated 10 months ago
- This is the official code for the paper "Vaccine: Perturbation-aware Alignment for Large Language Models" (NeurIPS2024)☆49Updated 2 weeks ago
- Codebase for decoding compressed trust.☆25Updated last year
- ☆14Updated 2 years ago
- The first toolkit for MLRM safety evaluation, providing unified interface for mainstream models, datasets, and jailbreaking methods!☆14Updated 9 months ago