Libr-AI / do-not-answerLinks
Do-Not-Answer: A Dataset for Evaluating Safeguards in LLMs
☆254Updated last year
Alternatives and similar repositories for do-not-answer
Users that are interested in do-not-answer are comparing it to the libraries listed below
Sorting:
- [NDSS'25 Best Technical Poster] A collection of automated evaluators for assessing jailbreak attempts.☆158Updated 2 months ago
- Github repository for "RAGTruth: A Hallucination Corpus for Developing Trustworthy Retrieval-Augmented Language Models"☆185Updated 6 months ago
- This is the repository of HaluEval, a large-scale hallucination evaluation benchmark for Large Language Models.☆479Updated last year
- We jailbreak GPT-3.5 Turbo’s safety guardrails by fine-tuning it on only 10 adversarially designed examples, at a cost of less than $0.20…☆303Updated last year
- [NAACL2024] Attacks, Defenses and Evaluations for LLM Conversation Safety: A Survey☆100Updated 10 months ago
- A Comprehensive Assessment of Trustworthiness in GPT Models☆294Updated 9 months ago
- 【ACL 2024】 SALAD benchmark & MD-Judge☆148Updated 3 months ago
- Official github repo for SafetyBench, a comprehensive benchmark to evaluate LLMs' safety. [ACL 2024]☆225Updated last year
- SelfCheckGPT: Zero-Resource Black-Box Hallucination Detection for Generative Large Language Models☆534Updated 11 months ago
- Papers about red teaming LLMs and Multimodal models.☆123Updated 3 weeks ago
- ShieldLM: Empowering LLMs as Aligned, Customizable and Explainable Safety Detectors [EMNLP 2024 Findings]☆198Updated 8 months ago
- JailbreakBench: An Open Robustness Benchmark for Jailbreaking Language Models [NeurIPS 2024 Datasets and Benchmarks Track]☆359Updated 2 months ago
- Code and data of the EMNLP 2022 paper "Why Should Adversarial Perturbations be Imperceptible? Rethink the Research Paradigm in Adversaria…☆50Updated 2 years ago
- S-Eval: Towards Automated and Comprehensive Safety Evaluation for Large Language Models☆72Updated 2 months ago
- BeaverTails is a collection of datasets designed to facilitate research on safety alignment in large language models (LLMs).☆147Updated last year
- [ICML 2024] COLD-Attack: Jailbreaking LLMs with Stealthiness and Controllability☆152Updated 6 months ago
- Official implementation for the paper "DoLa: Decoding by Contrasting Layers Improves Factuality in Large Language Models"☆498Updated 5 months ago
- A package to evaluate factuality of long-form generation. Original implementation of our EMNLP 2023 paper "FActScore: Fine-grained Atomic…☆353Updated 2 months ago
- [ICLR 2024] The official implementation of our ICLR2024 paper "AutoDAN: Generating Stealthy Jailbreak Prompts on Aligned Large Language M…☆341Updated 5 months ago
- Official Repository for ACL 2024 Paper SafeDecoding: Defending against Jailbreak Attacks via Safety-Aware Decoding☆134Updated 11 months ago
- Open One-Stop Moderation Tools for Safety Risks, Jailbreaks, and Refusals of LLMs☆82Updated 6 months ago
- Awesome LLM Jailbreak academic papers☆102Updated last year
- Improving Alignment and Robustness with Circuit Breakers☆214Updated 9 months ago
- This repository provides an original implementation of Detecting Pretraining Data from Large Language Models by *Weijia Shi, *Anirudh Aji…☆225Updated last year
- Generative Judge for Evaluating Alignment☆239Updated last year
- ☆363Updated 3 weeks ago
- LLM hallucination paper list☆318Updated last year
- ☆137Updated 9 months ago
- Codes and datasets of the paper Red-Teaming Large Language Models using Chain of Utterances for Safety-Alignment☆100Updated last year
- RefChecker provides automatic checking pipeline and benchmark dataset for detecting fine-grained hallucinations generated by Large Langua…☆374Updated last month