- 📙Paper: SemCoder: Training Code Language Models with Comprehensive Semantics
- 📚Publisher:
arxiv - 🏠Author Affiliation:
Columbia University - Contributions:
- The development of SemCoder, a semantic-aware Code LM designed to enhance understanding and reasoning about program semantics.
- We introduce Monologue Reasoning, a novel execution learning approach that aligns static source code with its runtime behavior through detailed verbal descriptions of code execution.
- To expose comprehensive program semantics at different levels, we curate PYX, a collection of executable code samples with functional descriptions and execution traces.
SemCoder
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