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Author

Xiaolong Guo

2 papers indexed here

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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
#artificial intelligence Conference Open access Jun 2026

Incremental Risk Assessment of Progressive Elder Financial Scams via Instruction-Tuned Small Language Models

It is suggested that structured cumulative modeling can support incremental scam risk assessment in deployment-oriented settings while highlighting the potential of compact language models for privacy-aware and on-device fraud protection.

Parviz Ghafariasl, Weimin Fu, Xiaolong Guo et al. · 0 citations

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