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A survey of neural code intelligence: Paradigms, advances and beyond
Neural Code Intelligence--leveraging deep learning to understand, generate, and optimize
code--holds immense potential for transformative impacts on the whole society. Bridging the …
code--holds immense potential for transformative impacts on the whole society. Bridging the …
Evaluating and aligning codellms on human preference
Code large language models (codeLLMs) have made significant strides in code generation.
Most previous code-related benchmarks, which consist of various programming exercises …
Most previous code-related benchmarks, which consist of various programming exercises …
VideoAutoArena: An Automated Arena for Evaluating Large Multimodal Models in Video Analysis through User Simulation
Large multimodal models (LMMs) with advanced video analysis capabilities have recently
garnered significant attention. However, most evaluations rely on traditional methods like …
garnered significant attention. However, most evaluations rely on traditional methods like …
CITYWALK: Enhancing LLM-Based C++ Unit Test Generation via Project-Dependency Awareness and Language-Specific Knowledge
Unit testing plays a pivotal role in the software development lifecycle, as it ensures code
quality. However, writing high-quality unit tests remains a time-consuming task for …
quality. However, writing high-quality unit tests remains a time-consuming task for …
One-to-many testing for code generation from (just) natural language
MBPP is a popular dataset for evaluating the task of code generation from natural language.
Despite its popularity, there are three problems:(1) it relies on providing test cases to …
Despite its popularity, there are three problems:(1) it relies on providing test cases to …