collaborators

5 papers

cs.GR2026

FootprintRAG: Visual Analytics for Evidence Context Refinement in RAG-based Scientific Literature Exploration

Xingyu Liu, Yu Dong, Qizhen Yu +7

Retrieval-Augmented Generation (RAG) is increasingly used to ground large language model (LLM) outputs in scientific literature. However, in open-ended literature exploration, the…

cs.HC2026

CATVis: A Collaborative Multi-Agent Workflow for Turbomachinery Simulation Data Visualization

Zhe Wang, Zehao Lou, Guanghui Zhao +6

Recent advances in AI for Science have enabled natural language (NL) interfaces for scientific data analysis. In turbomachinery CFD post-processing, translating ambiguous high-leve…

cs.GR2026

Toward Reliable Scientific Visualization Pipeline Construction with Structure-Aware Retrieval-Augmented LLMs

Guanghui Zhao, Zhe Wang, Yu Dong +2

Scientific visualization pipelines encode domain-specific procedural knowledge with strict execution dependencies, making their construction sensitive to missing stages, incorrect…

cs.SE2026

RovoDev Code Reviewer: A Large-Scale Online Evaluation of LLM-based Code Review Automation at Atlassian

Kla Tantithamthavorn, Yaotian Zou, Andy Wong +8

Large Language Models (LLMs)-powered code review automation has the potential to transform code review workflows. Despite the advances of LLM-powered code review comment generation…

cs.SE2025

What Types of Code Review Comments Do Developers Most Frequently Resolve?

Saul Goldman, Hong Yi Lin, Jirat Pasuksmit +11

Large language model (LLM)-powered code review automation tools have been introduced to generate code review comments. However, not all generated comments will drive code changes.…