collaborators

5 papers

cs.AR2026

VeriPilot: An LLM-Powered Verilog Debugging Framework

Yihan Wang, Cheng Liu, Jiazheng Zhang +4

Verilog debugging remains one of the most time-consuming stages in digital circuit design. Recent advances in Large Language Models (LLMs) have enabled automated debugging; however…

cs.PF2026

ANNS-AMP: Accelerating Approximate Nearest Neighbor Search via Adaptive Mixed-Precision Computing

Mingkai Chen, Cheng Liu, Shengwen Liang +3

Approximate nearest neighbor search(ANNS) is a critical kernel in modern applications such as LLM and recommendation systems.However,its efficiency is fundamentally limited by the…

cs.AR2026

FT-Pilot: Automated Fault-Tolerant RTL Rewriting via Vulnerability-Guided LLMs

Weixing Liu, Zizhen Liu, Jing Ye +4

As integrated circuit technologies continue to scale toward advanced process nodes, the continual reduction in node capacitance and supply voltage has made digital systems increasi…

cs.AI2026

GeoAgentBench: A Dynamic Execution Benchmark for Tool-Augmented Agents in Spatial Analysis

Bo Yu, Cheng Yang, Dongyang Hou +6

The integration of Large Language Models (LLMs) into Geographic Information Systems (GIS) marks a paradigm shift toward autonomous spatial analysis. However, evaluating these LLM-b…

cs.AR2026

Understanding and Mitigating Errors of LLM-Generated RTL Code

Jiazheng Zhang, Cheng Liu, Long Cheng +2

Despite limited success in large language model (LLM)-based register-transfer-level (RTL) code generation, the root causes of errors remain poorly understood. To address this, we c…