mlsanityData to 14 Oct 2026

COMPL-AI Framework: A Technical Interpretation and LLM Benchmarking Suite for the EU Artificial Intelligence Act

arXiv 2410.07959 ↗First posted 10 Oct 2024cs.CL cs.AI cs.CYcited by 24

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Abstract (arXiv)

The EU's Artificial Intelligence Act (AI Act) is a significant step towards responsible AI development, but lacks clear technical interpretation, making it difficult to assess models' compliance. This work presents COMPL-AI, a comprehensive framework consisting of (i) the first technical interpretation of the EU AI Act, translating its broad regulatory requirements into measurable technical requirements, with the focus on large language models (LLMs), and (ii) an open-source Act-centered benchmarking suite, based on thorough surveying and implementation of state-of-the-art LLM benchmarks. By evaluating 12 prominent LLMs in the context of COMPL-AI, we reveal shortcomings in existing models and benchmarks, particularly in areas like robustness, safety, diversity, and fairness. This work highlights the need for a shift in focus towards these aspects, encouraging balanced development of LLMs and more comprehensive regulation-aligned benchmarks. Simultaneously, COMPL-AI for the first time demonstrates the possibilities and difficulties of bringing the Act's obligations to a more concrete, technical level. As such, our work can serve as a useful first step towards having actionable recommendations for model providers, and contributes to ongoing efforts of the EU to enable application of the Act, such as the drafting of the GPAI Code of Practice.

Key facts. Cited by 24 papers in the map (data through 14 Oct 2026). Builds on 57 of its 102 references that are in the map. First posted on arXiv 10 Oct 2024.

Builds on

57 of 102 references.

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Cited by year (2026 to 14 Oct)

Citing papers per year: 2024: 3; 2025: 11; 2026: 10.

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  1. 2025OpenAgentSafety: A Comprehensive Framework for Evaluating Real-World AI Agent Safetycited by 75
  2. 2025Can We Trust AI Benchmarks? An Interdisciplinary Review of Current Issues in AI Evaluationcited by 60
  3. 2024Evaluation-Driven Development and Operations of LLM Agents: A Process Model and Reference Architecturecited by 11
  4. 2025Attestable Audits: Verifiable AI Safety Benchmarks Using Trusted Execution Environmentscited by 8
  5. 2024AI Benchmarks and Datasets for LLM Evaluationcited by 7
  6. 2025AIReg-Bench: Benchmarking Language Models That Assess AI Regulation Compliancecited by 6
  7. 2024Focus On This, Not That! Steering LLMs with Adaptive Feature Specificationcited by 5
  8. 2025How Quantization Shapes Bias in Large Language Modelscited by 4
  9. 2025Risk Management for Mitigating Benchmark Failure Modes: BenchRiskcited by 3
  10. 2025Executable Governance for AI: Translating Policies into Rules Using LLMscited by 3
  11. 2025A Blueprint for AI-Driven Software Quality: Integrating LLMs with Established Standardscited by 1
  12. 2025AUTOLAW: Enhancing Legal Compliance in Large Language Models via Case Law Generation and Jury-Inspired Deliberationcited by 1
12 more
  1. 2025RAISE: A Unified Framework for Responsible AI Scoring and Evaluationcited by 1
  2. 2026Computational Compliance for AI Regulation: Blueprint for a New Research Domaincited by 1
  3. 2026Swiss-Bench SBP-002: A Frontier Model Comparison on Swiss Legal and Regulatory Taskscited by 1
  4. 2026Meta-Benchmarks for Financial-Services LLM Evaluationcited by 1
  5. 2025It's complicated. The relationship of algorithmic fairness and non-discrimination provisions for high-risk systems in the EU AI Actcited by 0
  6. 2026AI Act Evaluation Benchmark: An Open, Transparent, and Reproducible Evaluation Dataset for NLP and RAG Systemscited by 0
  7. 2026Swiss-Bench 003: Evaluating LLM Reliability and Adversarial Security for Swiss Regulatory Contextscited by 0
  8. 2026Time-Series Forecasting in Safety-Critical Environments: An Open-Source Package for EU-AI-Act-Compliant Development / Zeitreihenprognose in sicherheitskritischen Umgebungen: Ein Open-Source-Paket f"ur die KI-VO-konforme Entwicklungcited by 0
  9. 2026Reverse Engineering Compliance: A Dual-Graph Verification Framework for Auditing Legacy IT Security Conceptscited by 0
  10. 2026EADC: Evaluation of Advanced and Deep-level Compliance in Large Language Modelscited by 0
  11. 2026An Empirical Study and Assessment of EU AI Act Compliance Checkerscited by 0
  12. 2026The AI Assessment Sandbox Configurator: A Framework to Support Technical Assessment in AI Regulatory Sandboxescited by 0