29 citations · 30 across the 3 of their papers we have counts for
3 papers
cs.SE2026
ClassEval-Pro: A Cross-Domain Benchmark for Class-Level Code Generation
Yeheng Chen, Chaoxiang Xie, Yuling Shi +4
LLMs have achieved strong results on both function-level code synthesis and repository-level code modification, yet a capability that falls between these two extremes -- compositio…
cs.CL2026★ 1 cited
Seeing is Coding: On the Effectiveness of Vision Language Models in Code Understanding
Yuling Shi, Chaoxiang Xie, Zhensu Sun +7
Large Language Models (LLMs) have achieved remarkable success in source code understanding, yet as software systems grow in scale, computational efficiency has become a critical bo…
cs.SE2018★ 29 cited
DeepMutation: Mutation Testing of Deep Learning Systems
Lei Ma, Fuyuan Zhang, Jiyuan Sun +8
Deep learning (DL) defines a new data-driven programming paradigm where the internal system logic is largely shaped by the training data. The standard way of evaluating DL models i…