95 citations · 134 across the 21 of their papers we have counts for
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cs.AI2026
RTL-BenchLS: A Large-Scale Benchmark for RTL Reasoning and Generation with Large Language Models
Jing Wang, Shang Liu, Wenji Fang +3
LLM-based RTL generation and reasoning is a promising direction for hardware design automation. High-quality benchmarks are critical infrastructure for tracking progress in this di…
cs.AI2026
Dr. RTL: Autonomous Agentic RTL Optimization through Tool-Grounded Self-Improvement
Wenji Fang, Yao Lu, Shang Liu +5
Recent advances in large language models (LLMs) have sparked growing interest in automatic RTL optimization for better performance, power, and area (PPA). However, existing methods…
cs.AI2026
A New Benchmark for the Appropriate Evaluation of RTL Code Optimization
Yao Lu, Shang Liu, Hangan Zhou +3
The rapid progress of artificial intelligence increasingly relies on efficient integrated circuit (IC) design. Recent studies have explored the use of large language models (LLMs)…