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Ziyue Zheng

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Preprint Aug 2026

Forbench: Symbolic Simulation Helps Make Your Testbench More Formal

Forbench is introduced, a word-level symbolic simulation framework that retains the familiar execution semantics of simulation but augments it with solver-backed symbolic signals and state transitions, enabling systematic exploration of RTL behaviors under symbolic inputs and conditions.

Ziyi Yang, Wenbin Che, Ziyue Zheng et al. · 0 citations
#artificial intelligence Preprint Aug 2026

Coverage-Driven RTL Assertion Generation with Formal Exploration and Neuro-Symbolic Refinement

NeuroAssertion is presented, a coverage-driven assertion generation framework that combines formal trace generation, syntax-guided synthesis (SyGuS), and an agent-inspired refinement process within a unified framework that delivers around 2X more assertions and about 2X higher mutation coverage than traditional assertion mining methods.

Zhiyuan Yan, Ziyue Zheng, Hongce Zhang · 0 citations