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Chengru Wu

4 papers hereh-index 212 citations5 works total

Matching runs newest-first, so older work may not be attached to this profile yet.

author position
  • middle author4

Across the 4 of 4 papers where every author was matched, so the position is known.

fields
  • cs.SE3
  • cs.AR1
same name
  • Chengru Wu — 1 paper, h 2

Either other researchers who publish under this name, or the same person where the external sources have not merged their records.

identity via Semantic Scholar / OpenAlex

collaborators

4 papers

cs.AR2026

SkipOPU: An FPGA-based Overlay Processor for Large Language Models with Dynamically Allocated Computation

Zicheng He, Anhao Zhao, Xiaoyu Shen +2

Large language models (LLMs) have achieved remarkable performance across a wide range of tasks, but their inference efficiency remains a critical bottleneck due to rapidly growing…

cs.SE2026

CangjieBench: Benchmarking LLMs on a Low-Resource General-Purpose Programming Language

Junhang Cheng, Fang Liu, Jia Li +3

Large Language Models excel in high-resource programming languages but struggle with low-resource ones. Existing research related to low-resource programming languages primarily fo…

cs.SE2025

Towards Realistic Project-Level Code Generation via Multi-Agent Collaboration and Semantic Architecture Modeling

Qianhui Zhao, Li Zhang, Fang Liu +8

In recent years, Large Language Models (LLMs) have achieved remarkable progress in automated code generation. In real-world software engineering, the growing demand for rapid itera…

cs.SE2025

AdaptiveLLM: A Framework for Selecting Optimal Cost-Efficient LLM for Code-Generation Based on CoT Length

Junhang Cheng, Fang Liu, Chengru Wu +1

While Large Language Models (LLMs) have significantly advanced code generation efficiency, they face inherent challenges in balancing performance and inference costs across diverse…

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