4 papers
From Heuristics to Transformers: A Comprehensive Survey of Type Inference from Stripped Binaries
Hua Zheng, Yuhang Guo, Kuanishbay Sadatdiynov +5
The recovery of high-level type information from stripped binaries-executables devoid of symbol tables and debugging information-is a cornerstone of software reverse engineering, v…
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…
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…
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…