From the 2 of 81 linked papers with an AI index.
78 papers
CodeShrink: Adaptive Visual Compression for Efficient Multimodal Code Understanding
Wenxin Tang, Jingyu Xiao, Zhenyu Liu +6
Rendering source code as images offers a promising way to reduce the input costs of Multimodal Large Language Models (MLLMs). Adjusting image resolution can trade visual token cost…
VisualRepair: Dynamic Tool Calling and Region Focusing for Visual Software Issue Repair
Jingyu Xiao, Zhongyi Zhang, Haoran Hou +4
VisualRepair is a multimodal LLM framework that classifies bug‑related images, dynamically calls specialized tools, and focuses on relevant screenshot regions to improve automated…
MAGIC: Transition-Aware Generation of Navigable Multi-Scene Game Worlds with Large Language Models
Tsz Hei Fan, Choi Wing Fung, Yuxuan Wan +2
MAGIC is a system that uses large language models to automatically generate multi‑scene 3D game worlds with consistent portals and navigable interiors, evaluating transitions to en…
Code Benchmarks Should Prioritize Rigor, Reliability, and Reproducibility
Jialun Cao, Yuk-Kit Chan, Zixuan Ling +12
Code-related benchmarks play a critical role in evaluating large language models (LLMs), yet their quality fundamentally shapes how the community interprets model capabilities. In…
MicroAgent: Context-Augmented Multi-Agent Framework for Automatic Microservice Decomposition
Zishan Su, Junjie Huang, Shiwen Shan +5
The adoption of Microservice Architecture (MSA) has revolutionized software engineering by enhancing scalability, agility, and maintainability over traditional monolithic applicati…
VulKey: Automated Vulnerability Repair Guided by Domain-Specific Repair Patterns
Jia Li, Zhuangbin Chen, Yuxin Su +1
The increasing prevalence of software vulnerabilities highlights the need for effective Automatic Vulnerability Repair (AVR) tools. While LLM-based approaches are promising, they s…