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20202026
most citedExploring the Potential of Large Language Models in Generating Code-Tracing Questions for Introductory Programming Courses

2 citations · 4 across the 5 of their papers we have counts for

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cs.AR2026

SiliconBench: Speed, Memory, and Fidelity for LLM Serving on Unified-Memory Desktops

Ranran Haoran Zhang, Aysa Xuemo Fan, David Munhá Correia +2

Concurrent local LLM serving on unified-memory desktops must preserve memory headroom and output fidelity, which speed-only rankings overlook. We introduce SiliconBench, which eval…

cs.CY2026

Toward Measuring AI's Effects on Skill Formation: The Stock-Formation Gap

Aysa Xuemo Fan

Large-scale AI deployment data and controlled learning experiments characterize different consequences of the same technology. Deployment telemetry shows that AI use is concentrate…