1 citations · 1 across the 3 of their papers we have counts for
3 papers
cs.CL2025
Data-efficient LLM Fine-tuning for Code Generation
Weijie Lv, Xuan Xia, Sheng-Jun Huang
Large language models (LLMs) have demonstrated significant potential in code generation tasks. However, there remains a performance gap between open-source and closed-source models…
cs.CL2024
CodeACT: Code Adaptive Compute-efficient Tuning Framework for Code LLMs
Weijie Lv, Xuan Xia, Sheng-Jun Huang
Large language models (LLMs) have shown great potential in code-related tasks, yet open-source models lag behind their closed-source counterparts. To bridge this performance gap, e…
cs.CV2023★ 1 cited
FractalAD: A simple industrial anomaly detection method using fractal anomaly generation and backbone knowledge distillation
Xuan Xia, Weijie Lv, Xing He +3
Although industrial anomaly detection (AD) technology has made significant progress in recent years, generating realistic anomalies and learning priors of normal remain challenging…