RockyHHH / Safety-EvaluatingLinks
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”。
☆31Updated 2 years ago
Alternatives and similar repositories for Safety-Evaluating
Users that are interested in Safety-Evaluating are comparing it to the libraries listed below
Sorting:
- SC-Safety: 中文大模型多轮对抗安全基准☆144Updated last year
- ShieldLM: Empowering LLMs as Aligned, Customizable and Explainable Safety Detectors [EMNLP 2024 Findings]☆211Updated last year
- Official github repo for SafetyBench, a comprehensive benchmark to evaluate LLMs' safety. [ACL 2024]☆251Updated 2 months ago
- Dataset and evaluation script for "Evaluating Hallucinations in Chinese Large Language Models"☆135Updated last year
- Flames is a highly adversarial benchmark in Chinese for LLM's harmlessness evaluation developed by Shanghai AI Lab and Fudan NLP Group.☆60Updated last year
- ☆19Updated last year
- A Massive Multi-Level Multi-Subject Knowledge Evaluation benchmark☆102Updated 2 years ago
- 中文 Instruction tuning datasets☆136Updated 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☆28Updated last year
- ☆163Updated 2 years ago
- 基于ChatGPT构建的中文self-instruct数据集☆119Updated 2 years ago
- 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。☆123Updated 7 months ago
- ☆30Updated last year
- “悟道”数据☆46Updated 4 years ago
- ChatGPT相关资源汇总☆56Updated 2 years ago
- 怎么训练一个LLM分词器☆153Updated 2 years ago
- ☆98Updated last year
- Clustering and Ranking: Diversity-preserved Instruction Selection through Expert-aligned Quality Estimation☆89Updated 10 months ago
- 使用 Qwen2ForSequenceClassification 简单实现文本分类任务。☆82Updated last year
- [ACL 2025] LongSafety: Evaluating Long-Context Safety of Large Language Models☆14Updated 3 months ago
- 中文大语言模型评测第一期☆110Updated last year
- MEASURING MASSIVE MULTITASK CHINESE UNDERSTANDING☆89Updated last year
- The official repository of the paper: COLD: A Benchmark for Chinese Offensive Language Detection☆289Updated 2 years ago
- ☆145Updated last year
- 大语言模型指令 调优工具(支持 FlashAttention)☆178Updated last year
- make LLM easier to use☆59Updated 2 years ago
- ☆178Updated last year
- ☆147Updated last year
- "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☆459Updated 3 months ago
- ☆68Updated 2 years ago