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Home/Authors/David Z. Pan

David Z. Pan

2 indexed papers

Recent (6 mo)
2
With code
0
Influential cites
0
Benchmarked
0

Publications per year

2
26

Top categories

ML×1AI×1Architecture×1

Frequent co-authors

Hanqing Zhu1×
Wenyan Cong1×
Zhizhou Sha1×
Sagnik Mukherjee1×
Xinyuan Song1×
David González-Martínez1×

Research Timeline

2026
PDAGENT-BENCH: Characterizing, Grounding, and Architecting LLM Agents for VLSI Physical Design

This paper introduces PDAGENT-BENCH, a comprehensive benchmark for evaluating Large Language Models and vision-language models in the physical design stack of Very Large-Scale Integrated Circuits.

ISO: An RLVR-Native Optimization Stack

This paper introduces Isospectral Optimization (ISO), a new optimization framework for reinforcement learning with verifiable rewards (RLVR), which inherits the base model's weight spectra while optimizing the frames to achieve stronger performance.

Highlighted terms show continued research focus across papers

Papers

cs.LGcs.AIEmpiricalRecentJul 21, 2026

ISO: An RLVR-Native Optimization Stack

Hanqing Zhu, Wenyan Cong, Zhizhou Sha, Sagnik Mukherjee +7 more

This paper introduces Isospectral Optimization (ISO), a new optimization framework for reinforcement learning with verifiable rewards (RLVR), which inherits the base model's weight spectra while optim…

View →
cs.AREmpiricalRecent
Jun 15, 2026

PDAGENT-BENCH: Characterizing, Grounding, and Architecting LLM Agents for VLSI Physical Design

Qiufeng Li, Rongqian Chen, Quan Cheng, Chengxuan Wang +8 more

This paper introduces PDAGENT-BENCH, a comprehensive benchmark for evaluating Large Language Models and vision-language models in the physical design stack of Very Large-Scale Integrated Circuits.

View →