3 citations · 4 across the 5 of their papers we have counts for
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cs.LG2026
ChipMEM: Verification-Grounded Memory for EDA Agents
Abdulrahman AlRabah, Joshua Mabry, Dilek Hakkani-Tür +4
Large language model (LLM)-based agents use Electronic Design Automation (EDA) tools to generate and revise register-transfer-level (RTL) designs under synthesis and verification f…
cs.LG2024★ 3 cited
Advancing Retail Data Science: Comprehensive Evaluation of Synthetic Data
Yu Xia, Chi-Hua Wang, Joshua Mabry +1
The evaluation of synthetic data generation is crucial, especially in the retail sector where data accuracy is paramount. This paper introduces a comprehensive framework for assess…