3 papers
cs.SE2025
AutoEmpirical: LLM-Based Automated Research for Empirical Software Fault Analysis
Jiongchi Yu, Weipeng Jiang, Xiaoyu Zhang +3
Understanding software faults is essential for empirical research in software development and maintenance. However, traditional fault analysis, while valuable, typically involves m…
cs.SE2025
Exploring the Power of Diffusion Large Language Models for Software Engineering: An Empirical Investigation
Jingyao Zhang, Tianlin Li, Xiaoyu Zhang +2
Autoregressive Large Language Models (AR-LLMs) are widely used in software engineering (SE) but face limitations in processing code structure information and suffer from high infer…
cs.CV2025
LaTo: Landmark-tokenized Diffusion Transformer for Fine-grained Human Face Editing
Zhenghao Zhang, Ziying Zhang, Junchao Liao +6
Recent multimodal models for instruction-based face editing enable semantic manipulation but still struggle with precise attribute control and identity preservation. Structural fac…