thu-coai / ShieldLM

Related projects: ⓘ

• thu-coai / SafetyBench
  Official github repo for SafetyBench, a comprehensive benchmark to evaluate LLMs' safety.
  ☆141Updated 2 months ago
• OpenSafetyLab / SALAD-BENCH
  【ACL 2024】 SALAD benchmark & MD-Judge
  ☆81Updated this week
• AIFlames / Flames
  Flames is a highly adversarial benchmark in Chinese for LLM's harmlessness evaluation developed by Shanghai AI Lab and Fudan NLP Group.
  ☆30Updated 3 months ago
• tianyi-lab / Cherry_LLM
  [NAACL'24] Self-data filtering of LLM instruction-tuning data using a novel perplexity-based difficulty score, without using any other mo…
  ☆281Updated 2 weeks ago
• thu-coai / AutoDetect
  Official github repo for AutoDetect, an automated weakness detection framework for LLMs.
  ☆36Updated 2 months ago
• IS2Lab / S-Eval
  S-Eval: Automatic and Adaptive Test Generation for Benchmarking Safety Evaluation of Large Language Models
  ☆31Updated 2 months ago
• CLUEbenchmark / SuperCLUE-Safety
  SC-Safety: 中文大模型多轮对抗安全基准
  ☆94Updated 6 months ago
• Lordog / R-Judge
  R-Judge: Benchmarking Safety Risk Awareness for LLM Agents
  ☆57Updated last month
• QwenLM / AutoIF
  ☆185Updated last month
• WhitzardIndex / WhitzardBench-2024A
  复旦白泽大模型安全基准测试集（2024年夏季版）
  ☆21Updated last month
• X-PLUG / Multi-LLM-Agent
  ☆180Updated 4 months ago
• THU-BPM / MarkLLM
  MarkLLM: An Open-Source Toolkit for LLM Watermarking.
  ☆246Updated last month
• OFA-Sys / InsTag
  InsTag: A Tool for Data Analysis in LLM Supervised Fine-tuning
  ☆196Updated last year
• Junjie-Ye / ToolEyes
  ToolEyes: Fine-Grained Evaluation for Tool Learning Capabilities of Large Language Models in Real-world Scenarios
  ☆63Updated 5 months ago
• thu-coai / BPO
  ☆286Updated 2 months ago
• Libr-AI / do-not-answer
  Do-Not-Answer: A Dataset for Evaluating Safeguards in LLMs
  ☆156Updated 3 months ago
• niconi19 / LLM-Conversation-Safety
  [NAACL2024] Attacks, Defenses and Evaluations for LLM Conversation Safety: A Survey
  ☆65Updated last month
• isXinLiu / Awesome-MLLM-Safety
  Accepted by IJCAI-24 Survey Track
  ☆117Updated 3 weeks ago
• GAIR-NLP / auto-j
  Generative Judge for Evaluating Alignment
  ☆208Updated 8 months ago
• chen700564 / RGB
  ☆260Updated 4 months ago
• chanchimin / RQ-RAG
  Codes for our paper "RQ-RAG: Learning to Refine Queries for Retrieval Augmented Generation"
  ☆95Updated last month
• hkust-nlp / deita
  Deita: Data-Efficient Instruction Tuning for Alignment [ICLR2024]
  ☆467Updated 4 months ago
• CASIA-LM / MoDS
  ☆109Updated 5 months ago
• PKU-Alignment / beavertails
  BeaverTails is a collection of datasets designed to facilitate research on safety alignment in large language models (LLMs).
  ☆99Updated 10 months ago
• zjunlp / AutoAct
  [ACL 2024] AUTOACT: Automatic Agent Learning from Scratch for QA via Self-Planning
  ☆162Updated 5 months ago
• sail-sg / sdft
  [ACL 2024] The official codebase for the paper "Self-Distillation Bridges Distribution Gap in Language Model Fine-tuning".
  ☆81Updated this week
• ZigeW / data_management_LLM
  Collection of training data management explorations for large language models
  ☆266Updated last month
• Princeton-SysML / Jailbreak_LLM
  ☆143Updated 9 months ago
• wasiahmad / Awesome-LLM-Synthetic-Data
  A reading list on LLM based Synthetic Data Generation 🔥
  ☆105Updated last month
• SheltonLiu-N / AutoDAN
  The official implementation of our ICLR2024 paper "AutoDAN: Generating Stealthy Jailbreak Prompts on Aligned Large Language Models".
  ☆203Updated last month