3 papers
cs.SE2026
Large Language Models for Multilingual Code Intelligence: A Survey
Chao Jiang, Dugang Liu, Cheng Wen +6
Large language models have transformed AI-assisted software engineering, but current research remains biased toward high-resource languages such as Python, with weaker performance…
cs.IR2026
Enhancing guidance for missing data in diffusion-based sequential recommendation
Qilong Yan, Yifei Xing, Dugang Liu +2
Contemporary sequential recommendation methods are becoming more complex, shifting from classification to a diffusion-guided generative paradigm. However, the quality of guidance i…
cs.CV2025
See&Trek: Training-Free Spatial Prompting for Multimodal Large Language Model
Pengteng Li, Pinhao Song, Wuyang Li +5
We introduce SEE&TREK, the first training-free prompting framework tailored to enhance the spatial understanding of Multimodal Large Language Models (MLLMS) under vision-only const…