GitHub

CGBridge: Bridging Code Graphs and Large Language Models for Better Structure-Aware Code Understanding

CGBridge is a novel framework designed to enhance the code understanding capabilities of Large Language Models (LLMs) by integrating rich structural information from code graphs. Our approach follows ...
IEEE

Balancing Security and Correctness in Code Generation: An Empirical Study on Commercial Large Language Models

Abstract: Large language models (LLMs) continue to be adopted for a multitude of previously manual tasks, with code generation as a prominent use. Multiple commercial models have seen wide adoption ...
GitHub

CausalInferenceLab/awesome-causal-inference-python

There was an error while loading. Please reload this page.
IEEE

Interactive Cross-Language Pointer Analysis for Resolving Native Code in Java Programs

Abstract: Java offers the Java Native Interface (JNI), which allows programs running in the Java Virtual Machine to invoke and be manipulated by native applications and libraries written in other ...