ARAIDec 23, 2025

NotSoTiny: A Large, Living Benchmark for RTL Code Generation

arXiv:2512.20823v12 citationsh-index: 16
Originality Synthesis-oriented
AI Analysis

This addresses the problem of limited and unrealistic RTL benchmarks for researchers and practitioners in hardware design, though it is incremental as it builds on existing community efforts.

The paper tackles the challenge of evaluating LLMs for RTL code generation by introducing NotSoTiny, a benchmark built from hundreds of real hardware designs, which shows that its tasks are more challenging than prior benchmarks.

LLMs have shown early promise in generating RTL code, yet evaluating their capabilities in realistic setups remains a challenge. So far, RTL benchmarks have been limited in scale, skewed toward trivial designs, offering minimal verification rigor, and remaining vulnerable to data contamination. To overcome these limitations and to push the field forward, this paper introduces NotSoTiny, a benchmark that assesses LLM on the generation of structurally rich and context-aware RTL. Built from hundreds of actual hardware designs produced by the Tiny Tapeout community, our automated pipeline removes duplicates, verifies correctness and periodically incorporates new designs to mitigate contamination, matching Tiny Tapeout release schedule. Evaluation results show that NotSoTiny tasks are more challenging than prior benchmarks, emphasizing its effectiveness in overcoming current limitations of LLMs applied to hardware design, and in guiding the improvement of such promising technology.

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