Author

Xiaolong Guo

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Preprint Aug 2026

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

Can large language models generate not just correct, but fast hardware? This paper investigates the question in financial FPGA design, where 5-10 nanoseconds of latency determines competitive advantage and designs iterate continuously as protocols, strategies, and regulations evolve. FinHardBench, a benchmark of 33 fin...

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. · 2026 2nd International Confe... · 0 citations