CLUEbenchmark / SuperCLUE-SafetyLinks
SC-Safety: 中文大模型多轮对抗安全基准
☆137Updated last year
Alternatives and similar repositories for SuperCLUE-Safety
Users that are interested in SuperCLUE-Safety are comparing it to the libraries listed below
Sorting:
- Official github repo for SafetyBench, a comprehensive benchmark to evaluate LLMs' safety. [ACL 2024]☆225Updated last year
- ShieldLM: Empowering LLMs as Aligned, Customizable and Explainable Safety Detectors [EMNLP 2024 Findings]☆198Updated 8 months ago
- JailBench:大型语言模型越狱攻击风险评测中文数据集 [PAKDD 2025]☆98Updated 3 months ago
- 本文提出了一个基于“文心一言”的中国LLMs的安全评估基准,其中包括8种典型的安全场景和6种指令攻击类型。此外,本文还提出了安全评估的框架和过程,利用手动编写和收集开源数据的测试Prompts,以及人工干预结合利用LLM强大的评估能力作为“共同评估者”。☆25Updated last year
- 复旦白泽大模型安全基准测试集(2024年夏季版)☆38Updated 10 months ago
- Chinese safety prompts for evaluating and improving the safety of LLMs. 中文安全prompts,用于评估和提升大模型的安全性。☆1,034Updated last year
- 面向中文大模型价值观的评估与对齐研究☆524Updated last year
- Flames is a highly adversarial benchmark in Chinese for LLM's harmlessness evaluation developed by Shanghai AI Lab and Fudan NLP Group.☆51Updated last year
- CCAC2024——大模型安全的双重防线:少样本文本内容安全挑战赛仓库☆26Updated last year
- S-Eval: Towards Automated and Comprehensive Safety Evaluation for Large Language Models☆72Updated 2 months ago
- "他山之石、可以攻玉":复旦白泽智能发布面向国内开源和国外商用大模型的Demo数据集JADE-DB☆416Updated 3 months ago
- 基于ChatGPT构建的中文self-instruct数据集☆118Updated 2 years ago
- A Massive Multi-Level Multi-Subject Knowledge Evaluation benchmark☆102Updated last year
- Dataset and evaluation script for "Evaluating Hallucinations in Chinese Large Language Models"☆131Updated last year
- 中文通用大模型开放域多轮测评基准 | An Open Domain Benchmark for Foundation Models in Chinese☆79Updated last year
- 大模型多维度中文对齐评测基准 (ACL 2024)☆394Updated 10 months ago
- 使用 Qwen2ForSequenceClassification 简单实现文本分类任务。☆67Updated last year
- ☆142Updated 11 months ago
- 中文大语言模型评测第一期☆109Updated last year
- ☆45Updated last year
- SuperCLUE-Agent: 基于中文原生任务的Agent智能体核心能力测评基准☆89Updated last year
- [NAACL2024] Attacks, Defenses and Evaluations for LLM Conversation Safety: A Survey☆103Updated 10 months ago
- 怎么训练一个LLM分词器☆150Updated last year
- The official dataset of paper "Goal-Oriented Prompt Attack and Safety Evaluation for LLMs".☆17Updated last year
- ☆169Updated last year
- ☆162Updated 2 years ago
- ☆29Updated 5 months ago
- Official github repo for AutoDetect, an automated weakness detection framework for LLMs.☆42Updated last year
- 专注于中文领域大语言模型,落地到某个行业某个领域,成为一个行业大模型、公司级别或行业级别领域大模型。☆118Updated 3 months ago
- 中文大语言模型评测第二期☆70Updated last year