DYR1 / MoGULinks
Our research proposes a novel MoGU framework that improves LLMs' safety while preserving their usability.
☆18Updated 11 months ago
Alternatives and similar repositories for MoGU
Users that are interested in MoGU are comparing it to the libraries listed below
Sorting:
- In-Context Sharpness as Alerts: An Inner Representation Perspective for Hallucination Mitigation (ICML 2024)☆62Updated last year
- [ICLR'24] RAIN: Your Language Models Can Align Themselves without Finetuning☆98Updated last year
- EMNLP 2024: Model Editing Harms General Abilities of Large Language Models: Regularization to the Rescue☆38Updated 7 months ago
- [EMNLP 2025 Main] ConceptVectors Benchmark and Code for the paper "Intrinsic Evaluation of Unlearning Using Parametric Knowledge Traces"☆39Updated 4 months ago
- Semi-Parametric Editing with a Retrieval-Augmented Counterfactual Model☆71Updated 3 years ago
- ☆43Updated last year
- Code & Data for our Paper "Alleviating Hallucinations of Large Language Models through Induced Hallucinations"☆69Updated last year
- [ICML 2025] Weak-to-Strong Jailbreaking on Large Language Models☆91Updated 8 months ago
- ☆48Updated 2 years ago
- [ACL 2024 main] Aligning Large Language Models with Human Preferences through Representation Engineering (https://aclanthology.org/2024.…☆28Updated last year
- Improved Few-Shot Jailbreaking Can Circumvent Aligned Language Models and Their Defenses (NeurIPS 2024)☆65Updated 11 months ago
- Code for the 2025 ACL publication "Fine-Tuning on Diverse Reasoning Chains Drives Within-Inference CoT Refinement in LLMs"☆33Updated 6 months ago
- ICLR2024 Paper. Showing properties of safety tuning and exaggerated safety.☆91Updated last year
- [ICLR 2024]Data for "Multilingual Jailbreak Challenges in Large Language Models"☆97Updated last year
- RWKU: Benchmarking Real-World Knowledge Unlearning for Large Language Models. NeurIPS 2024☆86Updated last year
- Restore safety in fine-tuned language models through task arithmetic☆31Updated last year
- [EMNLP 2024] The official GitHub repo for the paper "Course-Correction: Safety Alignment Using Synthetic Preferences"☆19Updated last year
- Official Repository for ACL 2024 Paper SafeDecoding: Defending against Jailbreak Attacks via Safety-Aware Decoding☆152Updated last year
- [2025-TMLR] A Survey on the Honesty of Large Language Models☆64Updated last year
- Code associated with Tuning Language Models by Proxy (Liu et al., 2024)☆127Updated last year
- ☆41Updated 2 years ago
- LLM Unlearning☆178Updated 2 years ago
- R-Judge: Benchmarking Safety Risk Awareness for LLM Agents (EMNLP Findings 2024)☆95Updated 7 months ago
- Official code for ICML 2024 paper on Persona In-Context Learning (PICLe)☆26Updated last year
- [ACL 2024] The official codebase for the paper "Self-Distillation Bridges Distribution Gap in Language Model Fine-tuning".☆139Updated last year
- This repository provides an original implementation of Detecting Pretraining Data from Large Language Models by *Weijia Shi, *Anirudh Aji…☆237Updated 2 years ago
- [ACL 2024] Code and data for "Machine Unlearning of Pre-trained Large Language Models"☆65Updated last year
- TACL 2025: Investigating Adversarial Trigger Transfer in Large Language Models☆19Updated 4 months ago
- [EMNLP 2024] Source code for the paper "Learning Planning-based Reasoning with Trajectory Collection and Process Rewards Synthesizing".☆83Updated 11 months ago
- [NeurIPS'24] Weak-to-Strong Search: Align Large Language Models via Searching over Small Language Models☆65Updated last year