335 citations · 1.7k across the 86 of their papers we have counts for
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3 papers · 1 filter
cs.SE2026
IntentCoding: Amplifying User Intent in Code Generation
Zheng Fang, Yihong Dong, Lili Mou +3
Large Language Models (LLMs) have shown strong capabilities in code generation, but their adherence to fine-grained user intent with multiple constraints remains a significant chal…
cs.SE2015★ 51 cited
On End-to-End Program Generation from User Intention by Deep Neural Networks
Lili Mou, Rui Men, Ge Li +2
This paper envisions an end-to-end program generation scenario using recurrent neural networks (RNNs): Users can express their intention in natural language; an RNN then automatica…
cs.SE2014★ 13 cited
Building Program Vector Representations for Deep Learning
Lili Mou, Ge Li, Yuxuan Liu +4
Deep learning has made significant breakthroughs in various fields of artificial intelligence. Advantages of deep learning include the ability to capture highly complicated feature…