Saved in:
| Main Author: | Solanke, Abiodun A. |
|---|---|
| Format: | Preprint |
| Published: |
2026
|
| Subjects: | |
| Online Access: | https://arxiv.org/abs/2604.12875 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
AISafetyLab: A Comprehensive Framework for AI Safety Evaluation and Improvement
by: Zhang, Zhexin, et al.
Published: (2025)
by: Zhang, Zhexin, et al.
Published: (2025)
GovRelBench:A Benchmark for Government Domain Relevance
by: Wang, Haiquan, et al.
Published: (2025)
by: Wang, Haiquan, et al.
Published: (2025)
Health-ORSC-Bench: A Benchmark for Measuring Over-Refusal and Safety Completion in Health Context
by: Zhang, Zhihao, et al.
Published: (2026)
by: Zhang, Zhihao, et al.
Published: (2026)
ChemSafetyBench: Benchmarking LLM Safety on Chemistry Domain
by: Zhao, Haochen, et al.
Published: (2024)
by: Zhao, Haochen, et al.
Published: (2024)
EmbodiedGovBench: A Benchmark for Governance, Recovery, and Upgrade Safety in Embodied Agent Systems
by: Qin, Xue, et al.
Published: (2026)
by: Qin, Xue, et al.
Published: (2026)
PDEAgent-Bench: A Multi-Metric, Multi-Library Benchmark for PDE Solver Generation
by: Hang, Zhen, et al.
Published: (2026)
by: Hang, Zhen, et al.
Published: (2026)
CSR-Bench: A Benchmark for Evaluating the Cross-modal Safety and Reliability of MLLMs
by: Liu, Yuxuan, et al.
Published: (2026)
by: Liu, Yuxuan, et al.
Published: (2026)
CHiSafetyBench: A Chinese Hierarchical Safety Benchmark for Large Language Models
by: Zhang, Wenjing, et al.
Published: (2024)
by: Zhang, Wenjing, et al.
Published: (2024)
Safetywashing: Do AI Safety Benchmarks Actually Measure Safety Progress?
by: Ren, Richard, et al.
Published: (2024)
by: Ren, Richard, et al.
Published: (2024)
Unsteady Metrics and Benchmarking Cultures of AI Model Builders
by: Baack, Stefan, et al.
Published: (2026)
by: Baack, Stefan, et al.
Published: (2026)
LPS-Bench: Benchmarking Safety Awareness of Computer-Use Agents in Long-Horizon Planning under Benign and Adversarial Scenarios
by: Chen, Tianyu, et al.
Published: (2026)
by: Chen, Tianyu, et al.
Published: (2026)
ST-WebAgentBench: A Benchmark for Evaluating Safety and Trustworthiness in Web Agents
by: Levy, Ido, et al.
Published: (2024)
by: Levy, Ido, et al.
Published: (2024)
FAM-Bench: A Multimodal Benchmark for Condition-Aware Food-as-Medicine Reasoning
by: Mao, Mingyang, et al.
Published: (2026)
by: Mao, Mingyang, et al.
Published: (2026)
TRAJECT-Bench:A Trajectory-Aware Benchmark for Evaluating Agentic Tool Use
by: He, Pengfei, et al.
Published: (2025)
by: He, Pengfei, et al.
Published: (2025)
AJ-Bench: Benchmarking Agent-as-a-Judge for Environment-Aware Evaluation
by: Shi, Wentao, et al.
Published: (2026)
by: Shi, Wentao, et al.
Published: (2026)
XL-SafetyBench: A Country-Grounded Cross-Cultural Benchmark for LLM Safety and Cultural Sensitivity
by: Choi, Dasol, et al.
Published: (2026)
by: Choi, Dasol, et al.
Published: (2026)
LinAlg-Bench: A Forensic Benchmark Revealing Structural Failure Modes in LLM Mathematical Reasoning
by: Agarwal, Shradha, et al.
Published: (2026)
by: Agarwal, Shradha, et al.
Published: (2026)
AI Idea Bench 2025: AI Research Idea Generation Benchmark
by: Qiu, Yansheng, et al.
Published: (2025)
by: Qiu, Yansheng, et al.
Published: (2025)
WebCoderBench: Benchmarking Web Application Generation with Comprehensive and Interpretable Evaluation Metrics
by: Liu, Chenxu, et al.
Published: (2026)
by: Liu, Chenxu, et al.
Published: (2026)
CI-Bench: Benchmarking Contextual Integrity of AI Assistants on Synthetic Data
by: Cheng, Zhao, et al.
Published: (2024)
by: Cheng, Zhao, et al.
Published: (2024)
AIReg-Bench: Benchmarking Language Models That Assess AI Regulation Compliance
by: Marino, Bill, et al.
Published: (2025)
by: Marino, Bill, et al.
Published: (2025)
MCP-SafetyBench: A Benchmark for Safety Evaluation of Large Language Models with Real-World MCP Servers
by: Zong, Xuanjun, et al.
Published: (2025)
by: Zong, Xuanjun, et al.
Published: (2025)
DataGovBench: Benchmarking LLM Agents for Real-World Data Governance Workflows
by: Liu, Zhou, et al.
Published: (2025)
by: Liu, Zhou, et al.
Published: (2025)
PBT-Bench: Benchmarking AI Agents on Property-Based Testing
by: Jing, Lucas, et al.
Published: (2026)
by: Jing, Lucas, et al.
Published: (2026)
ForecastBench: A Dynamic Benchmark of AI Forecasting Capabilities
by: Karger, Ezra, et al.
Published: (2024)
by: Karger, Ezra, et al.
Published: (2024)
Riemann-Bench: A Benchmark for Moonshot Mathematics
by: Garre, Suhaas, et al.
Published: (2026)
by: Garre, Suhaas, et al.
Published: (2026)
HW-GPT-Bench: Hardware-Aware Architecture Benchmark for Language Models
by: Sukthanker, Rhea Sanjay, et al.
Published: (2024)
by: Sukthanker, Rhea Sanjay, et al.
Published: (2024)
Can We Trust AI to Govern AI? Benchmarking LLM Performance on Privacy and AI Governance Exams
by: Witherspoon, Zane, et al.
Published: (2025)
by: Witherspoon, Zane, et al.
Published: (2025)
EmboCoach-Bench: Benchmarking AI Agents on Developing Embodied Robots
by: Lei, Zixing, et al.
Published: (2026)
by: Lei, Zixing, et al.
Published: (2026)
SciIntegrity-Bench: A Benchmark for Evaluating Academic Integrity in AI Scientist Systems
by: Yang, Zonglin, et al.
Published: (2026)
by: Yang, Zonglin, et al.
Published: (2026)
AutoResearchBench: Benchmarking AI Agents on Complex Scientific Literature Discovery
by: Xiong, Lei, et al.
Published: (2026)
by: Xiong, Lei, et al.
Published: (2026)
AIR-Bench 2024: A Safety Benchmark Based on Risk Categories from Regulations and Policies
by: Zeng, Yi, et al.
Published: (2024)
by: Zeng, Yi, et al.
Published: (2024)
SpeechParaling-Bench: A Comprehensive Benchmark for Paralinguistic-Aware Speech Generation
by: Liu, Ruohan, et al.
Published: (2026)
by: Liu, Ruohan, et al.
Published: (2026)
GT-HarmBench: Benchmarking AI Safety Risks Through the Lens of Game Theory
by: Cobben, Pepijn, et al.
Published: (2026)
by: Cobben, Pepijn, et al.
Published: (2026)
Taxonomy and Consistency Analysis of Safety Benchmarks for AI Agents
by: Li, Miles Q., et al.
Published: (2026)
by: Li, Miles Q., et al.
Published: (2026)
R-Judge: Benchmarking Safety Risk Awareness for LLM Agents
by: Yuan, Tongxin, et al.
Published: (2024)
by: Yuan, Tongxin, et al.
Published: (2024)
SALAD-Bench: A Hierarchical and Comprehensive Safety Benchmark for Large Language Models
by: Li, Lijun, et al.
Published: (2024)
by: Li, Lijun, et al.
Published: (2024)
Do Vision-Language Models Measure Up? Benchmarking Visual Measurement Reading with MeasureBench
by: Lin, Fenfen, et al.
Published: (2025)
by: Lin, Fenfen, et al.
Published: (2025)
HardSecBench: Benchmarking the Security Awareness of LLMs for Hardware Code Generation
by: Chen, Qirui, et al.
Published: (2026)
by: Chen, Qirui, et al.
Published: (2026)
CASE-Bench: Context-Aware SafEty Benchmark for Large Language Models
by: Sun, Guangzhi, et al.
Published: (2025)
by: Sun, Guangzhi, et al.
Published: (2025)
Similar Items
-
AISafetyLab: A Comprehensive Framework for AI Safety Evaluation and Improvement
by: Zhang, Zhexin, et al.
Published: (2025) -
GovRelBench:A Benchmark for Government Domain Relevance
by: Wang, Haiquan, et al.
Published: (2025) -
Health-ORSC-Bench: A Benchmark for Measuring Over-Refusal and Safety Completion in Health Context
by: Zhang, Zhihao, et al.
Published: (2026) -
ChemSafetyBench: Benchmarking LLM Safety on Chemistry Domain
by: Zhao, Haochen, et al.
Published: (2024) -
EmbodiedGovBench: A Benchmark for Governance, Recovery, and Upgrade Safety in Embodied Agent Systems
by: Qin, Xue, et al.
Published: (2026)