mlsanityData to 7 Oct 2026

AssertLLM2: A Comprehensive LLM Benchmark for Assertion Generation from Design Specifications

arXiv 2605.27472 ↗First posted 26 May 2026cs.AR cs.AIcited by 2

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Abstract (arXiv)

Assertion-based verification (ABV) is a cornerstone of modern hardware design, yet manually translating design intent into formal SystemVerilog Assertions (SVAs) remains labor-intensive and error-prone. While Large Language Models (LLMs) show promise for automating this process, existing benchmarks remain limited by unrealistic task formulations, weak specification inputs, and oversimplified evaluation. To address these limitations, we introduce AssertLLM2, an open-source benchmark for realistic assertion generation in hardware verification. AssertLLM2 contains 83 real-world designs across 13 functional categories. For each design, the benchmark provides a structured design specification, a verified dependency-complete golden RTL, and systematically mutated buggy RTL variants. These support two practical settings: bug-prevention, where assertions are generated from specifications to guard against design errors, and bug-hunting, where assertions are generated to expose discrepancies between intended behavior and faulty implementations. To the best of our knowledge, AssertLLM2 is the first benchmark to explicitly use buggy RTL as input to evaluate bug-detection capability. AssertLLM2 further adopts a more rigorous evaluation framework spanning syntactic validity, formal provability, coverage, and mutation-based bug detection. Our benchmark enables a more realistic and extensive assessment of assertion generation and establishes rigorous baselines for state-of-the-art LLMs in practical hardware verification.

Key facts. Cited by 2 papers in the map (data through 7 Oct 2026). Builds on 11 of its 32 references that are in the map. First posted on arXiv 26 May 2026.

Builds on

11 of 32 references.

References · 11

  1. 2025Gemini 2.5: Pushing the Frontier with Advanced Reasoning, Multimodality, Long Context, and Next Generation Agentic Capabilitiescited by 3,655
  2. 2025OpenAI GPT-5 System Cardcited by 910
  3. 2025DeepSeek-V3.2: Pushing the Frontier of Open Large Language Modelscited by 755
  4. 2026Qwen3-Coder-Next Technical Reportcited by 60
  5. 2024AssertLLM: Generating and Evaluating Hardware Verification Assertions from Design Specifications via Multi-LLMscited by 30
  6. 2025AssertionForge: Enhancing Formal Verification Assertion Generation with Structured Representation of Specifications and RTLcited by 13
  7. 2025Enhancing Large Language Models for Hardware Verification: A Novel SystemVerilog Assertion Datasetcited by 10
  8. 2024FVEval: Understanding Language Model Capabilities in Formal Verification of Digital Hardwarecited by 9
  9. 2025AssertGen: Enhancement of LLM-aided Assertion Generation through Cross-Layer Signal Bridgingcited by 4
  10. 2025AssertCoder: LLM-Based Assertion Generation via Multimodal Specification Extractioncited by 3
  11. 2025AssertMiner: Module-Level Spec Generation and Assertion Mining using Static Analysis Guided LLMscited by 2

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Citing papers per year: 2026: 2.

2 papers.