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20232026
most citedSemCoder: Training Code Language Models with Comprehensive Semantics Reasoning

2 citations · 2 across the 4 of their papers we have counts for

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cs.CL2024★ 2 cited

SemCoder: Training Code Language Models with Comprehensive Semantics Reasoning

Yangruibo Ding, Jinjun Peng, Marcus J. Min +3

Code Large Language Models (Code LLMs) have excelled at tasks like code completion but often miss deeper semantics such as execution effects and dynamic states. This paper aims to…

cs.SE2024

CYCLE: Learning to Self-Refine the Code Generation

Yangruibo Ding, Marcus J. Min, Gail Kaiser +1

Pre-trained code language models have achieved promising performance in code generation and improved the programming efficiency of human developers. However, their self-refinement…