DYR1 / MoGULinks
Our research proposes a novel MoGU framework that improves LLMs' safety while preserving their usability.
☆18Updated last year
Alternatives and similar repositories for MoGU
Users that are interested in MoGU are comparing it to the libraries listed below
Sorting:
- [ICLR'24] RAIN: Your Language Models Can Align Themselves without Finetuning☆98Updated last year
- In-Context Sharpness as Alerts: An Inner Representation Perspective for Hallucination Mitigation (ICML 2024)☆62Updated last year
- EMNLP 2024: Model Editing Harms General Abilities of Large Language Models: Regularization to the Rescue☆38Updated 8 months ago
- [EMNLP 2025 Main] ConceptVectors Benchmark and Code for the paper "Intrinsic Evaluation of Unlearning Using Parametric Knowledge Traces"☆39Updated 5 months ago
- Code & Data for our Paper "Alleviating Hallucinations of Large Language Models through Induced Hallucinations"☆69Updated last year
- ☆44Updated last year
- [ICML 2025] Weak-to-Strong Jailbreaking on Large Language Models☆92Updated 9 months ago
- ☆48Updated 2 years ago
- [NeurIPS'24] Weak-to-Strong Search: Align Large Language Models via Searching over Small Language Models☆65Updated last year
- ICLR2024 Paper. Showing properties of safety tuning and exaggerated safety.☆93Updated last year
- [ICLR 2024]Data for "Multilingual Jailbreak Challenges in Large Language Models"☆97Updated last year
- Model merging is a highly efficient approach for long-to-short reasoning.☆98Updated 3 months ago
- Improved Few-Shot Jailbreaking Can Circumvent Aligned Language Models and Their Defenses (NeurIPS 2024)☆65Updated last year
- Semi-Parametric Editing with a Retrieval-Augmented Counterfactual Model☆71Updated 3 years ago
- ☆41Updated 2 years ago
- The code of “Improving Weak-to-Strong Generalization with Scalable Oversight and Ensemble Learning”☆17Updated last year
- [ACL 2024] Code and data for "Machine Unlearning of Pre-trained Large Language Models"☆66Updated last year
- [EMNLP 2024] The official GitHub repo for the paper "Course-Correction: Safety Alignment Using Synthetic Preferences"☆20Updated last year
- Safe Unlearning: A Surprisingly Effective and Generalizable Solution to Defend Against Jailbreak Attacks☆32Updated last year
- TACL 2025: Investigating Adversarial Trigger Transfer in Large Language Models☆19Updated 5 months ago
- RWKU: Benchmarking Real-World Knowledge Unlearning for Large Language Models. NeurIPS 2024☆89Updated last year
- Official repository for ICML 2024 paper "On Prompt-Driven Safeguarding for Large Language Models"☆106Updated 8 months ago
- Restore safety in fine-tuned language models through task arithmetic☆31Updated last year
- Code associated with Tuning Language Models by Proxy (Liu et al., 2024)☆127Updated last year
- Codes and datasets of the paper Red-Teaming Large Language Models using Chain of Utterances for Safety-Alignment☆108Updated last year
- An implementation of online data mixing for the Pile dataset, based on the GPT-NeoX library.☆13Updated 2 years ago
- [ACL 2024] Learning to Edit: Aligning LLMs with Knowledge Editing☆36Updated last year
- ☆58Updated last year
- Official Repository for ACL 2024 Paper SafeDecoding: Defending against Jailbreak Attacks via Safety-Aware Decoding☆151Updated last year
- Official implementation of ICLR'24 paper, "Curiosity-driven Red Teaming for Large Language Models" (https://openreview.net/pdf?id=4KqkizX…☆88Updated last year