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

Instructive Code Retriever: Learn from Large Language Model’s Feedback for Code Intelligence Tasks

Abstract: Recent studies proposed to leverage large language models (LLMs) with In-Context Learning (ICL) to handle code intelligence tasks without fine-tuning. ICL employs task instructions and a set ...
MUO on MSN

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GitHub

Mochi Programming Language

Mochi is a small, statically typed programming language built for clarity, safety, and expressiveness — whether you're writing tools, processing real-time data, or powering intelligent agents. To run ...
IEEE

Hybrid Large Language Models and Reinforcement Learning for Energy-Efficient Multi-Satellite Scheduling: Boosting the Performance from Scratch

Abstract: Low Earth Orbit (LEO) satellite constellations are crucial for global connectivity by providing extensive coverage and reduced delays. However, scheduling data transmission in these dynamic ...