4 citations · 4 across the 1 of their papers we have counts for
3 papers
cs.CL2026
JuryFlow: Disagreement-Guided Human-in-the-Loop Multi-Agent Evaluation
Mufeng Yang, Junwei Yu, Yepeng Ding
Large language models (LLMs) are increasingly deployed as automated judges for AI-generated content, yet a single judge is unreliable and even a panel of judges leaves a hard resid…
cs.HC2026
Conversational Capture: A Trajectory-Level Framework for Evaluating Generative Engine Optimization in Multi-turn Human-Agent Interaction
Junwei Yu, Jieyu Zhou, Mufeng Yang +2
Generative Engine Optimization (GEO) shapes content to increase its likelihood of being cited by answer engines built on retrieval-augmented large language models. GEO is typically…
cs.CL2026★ 4 cited
Structural Feature Engineering for Generative Engine Optimization: How Content Structure Shapes Citation Behavior
Junwei Yu, Mufeng Yang, Yepeng Ding +1
The proliferation of AI-powered search engines has shifted information discovery from traditional link-based retrieval to direct answer generation with selective source citation, c…