4 papers
Renaissance of Literate Programming in the Era of LLMs: Enhancing LLM-Based Code Generation in Large-Scale Projects
Wuyang Zhang, Yansong Li, Zeyu Dong +6
Large Language Models (LLMs) have helped programmers increase efficiency through code generation, comprehension, and repair. However, their application to large-scale projects rema…
Learning to Help in Multi-Class Settings
Yu Wu, Yansong Li, Zeyu Dong +2
Deploying complex machine learning models on resource-constrained devices is challenging due to limited computational power, memory, and model retrainability. To address these limi…
Generalizing End-To-End Autonomous Driving In Real-World Environments Using Zero-Shot LLMs
Zeyu Dong, Yimin Zhu, Yansong Li +2
Traditional autonomous driving methods adopt a modular design, decomposing tasks into sub-tasks. In contrast, end-to-end autonomous driving directly outputs actions from raw sensor…
EAPCR: A Universal Feature Extractor for Scientific Data without Explicit Feature Relation Patterns
Zhuohang Yu, Ling An, Yansong Li +6
Conventional methods, including Decision Tree (DT)-based methods, have been effective in scientific tasks, such as non-image medical diagnostics, system anomaly detection, and inor…