CLUEbenchmark / SuperCLUE-SafetyLinks
SC-Safety: 中文大模型多轮对抗安全基准
☆147Updated 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:
- ShieldLM: Empowering LLMs as Aligned, Customizable and Explainable Safety Detectors [EMNLP 2024 Findings]☆218Updated last year
- Official github repo for SafetyBench, a comprehensive benchmark to evaluate LLMs' safety. [ACL 2024]☆263Updated 4 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☆479Updated 3 weeks ago
- 面向中文大模型价值观的评估与对齐研究☆546Updated 2 years 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。☆1,111Updated last year
- 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”。☆32Updated 2 years ago
- Flames is a highly adversarial benchmark in Chinese for LLM's harmlessness evaluation developed by Shanghai AI Lab and Fudan NLP Group.☆62Updated last year
- JailBench:大型语言模型越狱攻击风险评测中文数据集 [PAKDD 2025]☆148Updated 9 months ago
- S-Eval: Towards Automated and Comprehensive Safety Evaluation for Large Language Models☆105Updated 2 months ago
- 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☆32Updated last year
- 复旦白泽大模型安全基准测试集(2024年夏季版)☆50Updated last year
- 基于ChatGPT构建的中文self-instruct数据集☆119Updated 2 years ago
- ☆163Updated 10 months ago
- Dataset and evaluation script for "Evaluating Hallucinations in Chinese Large Language Models"☆136Updated 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☆80Updated 2 years ago
- Awesome LLM Benchmarks to evaluate the LLMs across text, code, image, audio, video and more.☆157Updated last year
- 大模型多维度中文对齐评测基准 (ACL 2024)☆423Updated last month
- A Massive Multi-Level Multi-Subject Knowledge Evaluation benchmark☆103Updated 2 years ago
- The official repository of the paper: COLD: A Benchmark for Chinese Offensive Language Detection☆302Updated 2 years ago
- ☆34Updated 11 months ago
- The official dataset of paper "Goal-Oriented Prompt Attack and Safety Evaluation for LLMs".☆19Updated last year
- 中文 Instruction tuning datasets☆141Updated last year
- ☆164Updated 2 years ago
- 怎么训练一个LLM分词器☆154Updated 2 years ago
- Hide and Seek (HaS): A Framework for Prompt Privacy Protection☆52Updated 2 years ago
- 使用 Qwen2ForSequenceClassification 简单实现文本分类任务。☆87Updated last year
- ☆98Updated 2 years ago
- ☆46Updated last year
- ☆330Updated last year
- FlagEval is an evaluation toolkit for AI large foundation models.☆339Updated 7 months ago