Safety Efficiency Evals
44 resources · page 1 of 2
AILuminate
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MLCommons AILuminate benchmark that rates the safety of general-purpose chat models' responses to hazardous text prompts.
AIR-Bench 2024
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AIR-Bench 2024 GitHub repo from Stanford CRFM: safety benchmark with a risk taxonomy drawn from regulations and company policies.
CAICT 2026 launch notice (WeChat)
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CAICT WeChat notice in Chinese announcing its 2026 AI evaluation rounds.
Canadian Artificial Intelligence Safety Institute (CAISI)
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Canadian Artificial Intelligence Safety Institute page on the ISED government site.
ChinAI #261: First results from CAICT's AI Safety Benchmark
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ChinAI newsletter issue translating the first results of CAICT's AI Safety Benchmark for Chinese language models.
CValues
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CValues GitHub repo: benchmark and research on evaluating the values and safety of Chinese large language models.
CyberSecEval 4
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Meta CyberSecEval 4 documentation: open benchmarks for cybersecurity risks and capabilities of LLMs.
FAR.AI AI Security Leaderboard
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FAR.AI AI Security Leaderboard comparing model safeguards against a taxonomy of attacks with a published methodology.
AI Safety Index: Summer 2026 (Future of Life Institute)
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Future of Life Institute AI Safety Index Summer 2026: expert grades of AI companies across safety and security domains.
ForesightSafety Bench
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ForesightSafety Bench paper: a frontier-risk evaluation framework covering agentic autonomy, AI-for-science, embodied and catastrophic risks.
HallusionBench
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HallusionBench GitHub repo (CVPR 2024): benchmark of language hallucination and visual illusion in VLMs.
HarmBench
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HarmBench site: standardised evaluation framework for automated red-teaming attacks and model refusal defences.
IPA press release: AI safety evaluation demonstration and environment report meeting
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IPA press release in Japanese on a briefing about AI safety evaluation trials and its open evaluation environment.
JailbreakBench
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JailbreakBench site: benchmark and leaderboard tracking jailbreak attacks and defences on LLMs with a fixed set of behaviours.
Japan AI Safety Institute
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Japan AI Safety Institute: government body developing AI safety evaluation methods, guides and standards.
米OpenAI社とMOCを締結しました (Japan AISI)
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Japan AISI announcement (May 2026): memorandum of cooperation signed with OpenAI.
Korea AISI
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Korea AI Safety Institute: government institute for AI safety evaluation, research and international cooperation.
MLCommons AILuminate
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MLCommons AILuminate page: safety benchmark for general-purpose chatbots, with jailbreak and agentic tracks listed.
MLPerf Client
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MLCommons MLPerf Client page: benchmark for LLM and AI workload performance on personal computers.
MLPerf Inference
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MLCommons MLPerf Inference Datacenter results: standardised throughput and latency of AI systems across models.
MLPerf Tiny
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MLCommons MLPerf Tiny page: inference benchmark for embedded and low-power devices, with published results.
MLPerf Training
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MLCommons MLPerf Training page: benchmark measuring time to train models to target quality, with published results.
NIST CAISI
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NIST CAISI: US government center evaluating AI models and developing measurement standards.
Phare
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Giskard Phare site: multilingual benchmark of LLM safety and security, including hallucination, bias and harmful content.
S-Eval
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S-Eval GitHub repo: about 220,000 safety prompts, including adversarial variants, for automated LLM safety evaluation.
S-Eval leaderboard (Alibaba)
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Alibaba S-Eval leaderboard in Chinese: safety evaluation rankings of large language models.
SafetyBench
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SafetyBench GitHub repo from Tsinghua: multiple-choice safety benchmark for LLMs across seven categories, in Chinese and English.
SALAD-Bench
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SALAD-Bench GitHub repo: hierarchical safety benchmark of harmful questions plus the MD-Judge evaluator model.
Singapore AISI (Digital Trust Centre)
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Singapore AI Safety Institute (Digital Trust Centre): research on AI safety science and governance.
StrongREJECT
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StrongREJECT documentation: benchmark package that scores whether jailbreaks yield useful harmful outputs rather than mere compliance.
SuperCLUE-Safety
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SuperCLUE-Safety GitHub repo: a multi-turn adversarial safety benchmark for Chinese large language models.
UK AI Security Institute
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UK AI Security Institute: government body publishing frontier AI evaluations and the Inspect evaluation framework.