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He-Jia Zhang

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Preprint Aug 2026

FinHardBench: Can LLMs Generate Latency-Aware Hardware for Financial Computing?

FinHardBench, a benchmark of 33 financial computing tasks, is presented together with three experiments that mirror the real-world FPGA iteration cycle: generating new modules from specifications, tuning system-level configurations across a 6-stage trading pipeline, and adapting existing modules to specification change...

Weimin Fu, He-Jia Zhang, Ming-Hao Shao et al. · 0 citations
Jul 2026

CodeNib: A Multi-View Data System for Serving Repository Context to Coding Agents

Together, these results support multi-view repository-context serving with explicit, operation-specific validity boundaries with quality-cost frontiers across the repository-context lifecycle.

Zhongming Yu, Hengjia Yu, Boqin Yuan et al. · 0 citations
Preprint Aug 2026

CHORUS: Complementary Experts for High-Coverage Testbench Stimulus Generation

CHORUS is presented, a post-training framework that pushes performance beyond what a conventional supervised fine-tuning (SFT)-to-reinforcement learning (RL) pipeline achieves, and consolidates the resulting specialists into a single 4B model.

He-Jia Zhang, Sheng Lu, Zhongming Yu et al. · 0 citations

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