Flames is a highly adversarial benchmark in Chinese for LLM's harmlessness evaluation developed by Shanghai AI Lab and Fudan NLP Group.
☆68May 21, 2024Updated 2 years ago
Alternatives and similar repositories for Flames
Users that are interested in Flames are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- ☆17Mar 22, 2024Updated 2 years ago
- ☆46Jun 19, 2025Updated last year
- [ICML 2025] ReflectionBench: Evaluating Epistemic Agency in Large Language Models☆22Jun 24, 2025Updated last year
- S-Eval: Towards Automated and Comprehensive Safety Evaluation for Large Language Models☆120Feb 13, 2026Updated 6 months ago
- [EMNLP 2024] ”ESC-Eval: Evaluating Emotion Support Conversations in Large Language Models“☆27Jun 24, 2024Updated 2 years ago
- Wordpress hosting with auto-scaling - Free Trial Offer • AdFully Managed hosting for WordPress and WooCommerce businesses that need reliable, auto-scalable performance. Cloudways SafeUpdates now available.
- Open-source red teaming framework for MLLMs with 42+ attack methods☆266Jul 17, 2026Updated last month
- ☆21Aug 19, 2024Updated 2 years ago
- 面向中文大模型价值观的评估与对齐研究☆559Jul 20, 2023Updated 3 years ago
- Repo for paper: Examining LLMs' Uncertainty Expression Towards Questions Outside Parametric Knowledge☆14Feb 20, 2024Updated 2 years ago
- ☆15Jan 9, 2026Updated 7 months ago
- ShieldLM: Empowering LLMs as Aligned, Customizable and Explainable Safety Detectors [EMNLP 2024 Findings]☆230Sep 29, 2024Updated last year
- ☆132Jul 29, 2026Updated last month
- SC-Safety: 中文大模型多轮对抗安全基准☆152Mar 15, 2024Updated 2 years ago
- Official github repo for SafetyBench, a comprehensive benchmark to evaluate LLMs' safety. [ACL 2024]☆297Jul 28, 2025Updated last year
- End-to-end encrypted email - Proton Mail • AdSpecial offer: 40% Off Yearly / 80% Off First Month. All Proton services are open source and independently audited for security.
- ReasoningShield: Safety Detection over Reasoning Traces of Large Reasoning Models☆26Aug 2, 2026Updated 3 weeks 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。☆1,215Feb 27, 2024Updated 2 years ago
- GAOGAO-Bench-Updates is a supplement to the GAOKAO-Bench, a dataset to evaluate large language models.☆50Jan 7, 2025Updated last year
- Accepted by ECCV 2024☆218Oct 15, 2024Updated last year
- Verify MAPPO in task ‘simple_spread_v3‘☆15Aug 10, 2024Updated 2 years ago
- [EMNLP 2023 Demo] "CLEVA: Chinese Language Models EVAluation Platform"☆64May 16, 2025Updated last year
- ☆16Apr 23, 2025Updated last year
- ☆17Nov 3, 2024Updated last year
- [AAAI 2026 Oral] Implementation for "W2S-AlignTree: Weak-to-Strong Inference-Time Alignment for Large Language Models via Monte Carlo Tre…☆25Mar 5, 2026Updated 5 months ago
- Managed hosting for WordPress and PHP on Cloudways • AdManaged hosting for WordPress, Magento, Laravel, or PHP apps, on multiple cloud providers. Deploy in minutes on Cloudways by DigitalOcean.
- Open benchmark for AI agent security tools — prompt injection, data exfiltration, tool abuse, provenance☆25Updated this week
- ☆84Mar 11, 2025Updated last year
- ☆15Oct 7, 2022Updated 3 years ago
- This is the code repository for "Uncovering Safety Risks of Large Language Models through Concept Activation Vector"☆49Oct 13, 2025Updated 10 months ago
- GSM-Plus: Data, Code, and Evaluation for Enhancing Robust Mathematical Reasoning in Math Word Problems.☆67Jul 8, 2024Updated 2 years ago
- SG-Bench: Evaluating LLM Safety Generalization Across Diverse Tasks and Prompt Types☆26Nov 29, 2024Updated last year
- Dataset and evaluation script for "Evaluating Hallucinations in Chinese Large Language Models"☆139Jun 5, 2024Updated 2 years ago
- Benchmark evaluation code for "SORRY-Bench: Systematically Evaluating Large Language Model Safety Refusal" (ICLR 2025)☆87Mar 1, 2025Updated last year
- A toolbox for benchmarking trustworthiness of multimodal large language models (MultiTrust, NeurIPS 2024 Track Datasets and Benchmarks)☆178Jun 27, 2025Updated last year
- Deploy open-source AI quickly and easily - Special Bonus Offer • AdRunpod Hub is built for open source. One-click deployment and autoscaling endpoints without provisioning your own infrastructure.
- 复旦白泽大模型安全基准测试集(2024年夏季版)☆50Jul 31, 2024Updated 2 years ago
- Adversarial Attack for Pre-trained Code Models☆10Jul 19, 2022Updated 4 years ago
- An active inference model of Lacanian psychoanalysis☆20Jun 7, 2025Updated last year
- [ACL 2024] MT-Bench-101: A Fine-Grained Benchmark for Evaluating Large Language Models in Multi-Turn Dialogues☆154Jul 24, 2024Updated 2 years ago
- BeaverTails is a collection of datasets designed to facilitate research on safety alignment in large language models (LLMs).☆183Oct 27, 2023Updated 2 years ago
- ☆10Mar 19, 2024Updated 2 years ago
- [ACL 2024] ValueBench: Towards Comprehensively Evaluating Value Orientations and Understanding of Large Language Models☆29Jan 11, 2025Updated last year