3 citations · 4 across the 5 of their papers we have counts for
5 papers
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…
Nemotron 3 Ultra: Open, Efficient Mixture-of-Experts Hybrid Mamba-Transformer Model for Agentic Reasoning
NVIDIA, :, Aaron Blakeman +572
We introduce Nemotron 3 Ultra, a 550 billion total and 55 billion active parameter Mixture-of-Experts Hybrid Mamba-Attention language model. We pre-trained Nemotron 3 Ultra on 20 t…
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…
Simulation-Based Benchmarking of Reinforcement Learning Agents for Personalized Retail Promotions
Yu Xia, Sriram Narayanamoorthy, Zhengyuan Zhou +1
The development of open benchmarking platforms could greatly accelerate the adoption of AI agents in retail. This paper presents comprehensive simulations of customer shopping beha…
RetailSynth: Synthetic Data Generation for Retail AI Systems Evaluation
Yu Xia, Ali Arian, Sriram Narayanamoorthy +1
Significant research effort has been devoted in recent years to developing personalized pricing, promotions, and product recommendation algorithms that can leverage rich customer d…