qiuhuachuan / latent-jailbreak
☆34Updated 9 months ago
Alternatives and similar repositories for latent-jailbreak:
Users that are interested in latent-jailbreak are comparing it to the libraries listed below
- Code & Data for our Paper "Alleviating Hallucinations of Large Language Models through Induced Hallucinations"☆63Updated 11 months ago
- R-Judge: Benchmarking Safety Risk Awareness for LLM Agents (EMNLP Findings 2024)☆65Updated 2 weeks ago
- ☆25Updated 5 months ago
- [ICLR 2024]Data for "Multilingual Jailbreak Challenges in Large Language Models"☆66Updated 11 months ago
- Repository for the paper "Cognitive Mirage: A Review of Hallucinations in Large Language Models"☆47Updated last year
- Codes and datasets of the paper Red-Teaming Large Language Models using Chain of Utterances for Safety-Alignment☆90Updated 11 months ago
- Official Code for ACL 2023 paper: "Ethicist: Targeted Training Data Extraction Through Loss Smoothed Soft Prompting and Calibrated Confid…☆22Updated last year
- Recent papers on (1) Psychology of LLMs; (2) Biases in LLMs.☆46Updated last year
- Official implementation of Privacy Implications of Retrieval-Based Language Models (EMNLP 2023). https://arxiv.org/abs/2305.14888☆35Updated 8 months ago
- ICLR2024 Paper. Showing properties of safety tuning and exaggerated safety.☆77Updated 9 months ago
- A Survey of Hallucination in Large Foundation Models☆51Updated last year
- [EMNLP 2024] A Multi-level Hallucination Diagnostic Benchmark for Tool-Augmented Large Language Models.☆16Updated 4 months ago
- BeaverTails is a collection of datasets designed to facilitate research on safety alignment in large language models (LLMs).☆122Updated last year
- ☆60Updated 2 years ago
- Semi-Parametric Editing with a Retrieval-Augmented Counterfactual Model☆66Updated 2 years ago
- [ICLR'24] RAIN: Your Language Models Can Align Themselves without Finetuning☆89Updated 8 months ago
- Lightweight tool to identify Data Contamination in LLMs evaluation☆46Updated 11 months ago
- [ACL 2024] Code for the paper "ALaRM: Align Language Models via Hierarchical Rewards Modeling"☆25Updated 10 months ago
- ☆39Updated last year
- ☆44Updated 5 months ago
- Code and data of the EMNLP 2022 paper "Why Should Adversarial Perturbations be Imperceptible? Rethink the Research Paradigm in Adversaria…☆42Updated 2 years ago
- A simple GPT-based evaluation tool for multi-aspect, interpretable assessment of LLMs.☆83Updated last year
- Repo for paper: Controllable Text Generation with Language Constraints☆19Updated last year
- Shadow Alignment: The Ease of Subverting Safely-Aligned Language Models☆26Updated last year
- Our research proposes a novel MoGU framework that improves LLMs' safety while preserving their usability.☆13Updated last month
- Github repository for "FELM: Benchmarking Factuality Evaluation of Large Language Models" (NeurIPS 2023)☆57Updated last year
- Official repository for ICML 2024 paper "On Prompt-Driven Safeguarding for Large Language Models"☆84Updated 5 months ago
- [ICLR 2024] Evaluating Large Language Models at Evaluating Instruction Following☆119Updated 7 months ago
- [NAACL 2024 Outstanding Paper] Source code for the NAACL 2024 paper entitled "R-Tuning: Instructing Large Language Models to Say 'I Don't…☆107Updated 7 months ago
- Official repository for paper "Weak-to-Strong Extrapolation Expedites Alignment"☆72Updated 8 months ago