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cs.AR2026
When Is RTL Better? Auditing Evaluation Stability with Tool-Grounded Requirement Profiles
Bodong Hou, Zhixin Pan
RTL-generation studies increasingly report functional correctness and post-synthesis quality, yet the evaluator itself is rarely treated as an experimental variable. A candidate ca…
cs.AR2026
CARB: A Characterization-Guided Framework for CNN Inference Cost Prediction and Deployment Screening
Linh Nguyen, Zhixin Pan
Accurate pre-deployment estimation of CNN inference cost--energy, latency, and peak memory--is increasingly critical as models are deployed on resource-constrained GPU platforms. E…