tmlr-group / G-effectLinks
[ICLR 2025] "Rethinking LLM Unlearning Objectives: A Gradient Perspective and Go Beyond"
☆13Updated 8 months ago
Alternatives and similar repositories for G-effect
Users that are interested in G-effect are comparing it to the libraries listed below
Sorting:
- [NeurIPS 2024] "Can Language Models Perform Robust Reasoning in Chain-of-thought Prompting with Noisy Rationales?"☆37Updated 4 months ago
- This is the official code for the paper "Safety Tax: Safety Alignment Makes Your Large Reasoning Models Less Reasonable".☆25Updated 8 months ago
- ☆29Updated 8 months ago
- "In-Context Unlearning: Language Models as Few Shot Unlearners". Martin Pawelczyk, Seth Neel* and Himabindu Lakkaraju*; ICML 2024.☆28Updated 2 years ago
- This is the official code for the paper "Booster: Tackling Harmful Fine-tuning for Large Language Models via Attenuating Harmful Perturba…☆33Updated 7 months ago
- [ICML 2024] Code release for "On the Emergence of Cross-Task Linearity in Pretraining-Finetuning Paradigm"☆11Updated 8 months ago
- Official repository of "Localizing Task Information for Improved Model Merging and Compression" [ICML 2024]☆51Updated last year
- 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
- ☆21Updated 8 months ago
- translation of VHL repo in paddle☆25Updated 2 years ago
- [ICML 2024] Assessing the Brittleness of Safety Alignment via Pruning and Low-Rank Modifications☆86Updated 7 months ago
- ☆18Updated last year
- Official code for SEAL: Steerable Reasoning Calibration of Large Language Models for Free☆44Updated 7 months ago
- official code repo for paper "Merging Models on the Fly Without Retraining: A Sequential Approach to Scalable Continual Model Merging"☆20Updated last month
- Representation Surgery for Multi-Task Model Merging. ICML, 2024.☆46Updated last year
- [NeurIPS23 (Spotlight)] "Model Sparsity Can Simplify Machine Unlearning" by Jinghan Jia*, Jiancheng Liu*, Parikshit Ram, Yuguang Yao, Gao…☆81Updated last year
- [ICML 2025] "From Passive to Active Reasoning: Can Large Language Models Ask the Right Questions under Incomplete Information?"☆47Updated last month
- ☆23Updated 11 months ago
- Localize-and-Stitch: Efficient Model Merging via Sparse Task Arithmetic☆30Updated last month
- The first toolkit for MLRM safety evaluation, providing unified interface for mainstream models, datasets, and jailbreaking methods!☆14Updated 7 months ago
- Official Repository for The Paper: Safety Alignment Should Be Made More Than Just a Few Tokens Deep☆163Updated 6 months ago
- [ECCV24] "Challenging Forgets: Unveiling the Worst-Case Forget Sets in Machine Unlearning" by Chongyu Fan*, Jiancheng Liu*, Alfred Hero, …☆23Updated 5 months ago
- This is the official code for the paper "Vaccine: Perturbation-aware Alignment for Large Language Models" (NeurIPS2024)☆47Updated last year
- Code for paper "Universal Jailbreak Backdoors from Poisoned Human Feedback"☆62Updated last year
- This is the official code for the paper "Lazy Safety Alignment for Large Language Models against Harmful Fine-tuning" (NeurIPS2024)☆24Updated last year
- A Task of Fictitious Unlearning for VLMs☆24Updated 7 months ago
- Awesome Large Reasoning Model(LRM) Safety.This repository is used to collect security-related research on large reasoning models such as …☆76Updated this week
- DataInf: Efficiently Estimating Data Influence in LoRA-tuned LLMs and Diffusion Models (ICLR 2024)☆75Updated last year
- The official repository of 'Unnatural Language Are Not Bugs but Features for LLMs'☆23Updated 5 months ago
- AdaMerging: Adaptive Model Merging for Multi-Task Learning. ICLR, 2024.☆95Updated last year