Zebin Yao — accepted AI-conference papers

2026

Demystifying and Enhancing the Efficiency of Large Language Model Based Search Agents

Tiannuo Yang, Zebin Yao, Bowen Jin, Lixiao Cui, Yusen Li, Gang Wang +2

ICLR 2026poster

Large Language Model (LLM)-based search agents have shown remarkable capabilities in solving complex tasks by dynamically decomposing problems and addressing them through interleaved reasoning and retrieval. However, this interleaved paradigm introduces substantial efficiency bottlenecks. First, we…

Cited by 0 Source ↗code ↗Scholar ↗

2025

Concept Conductor: Orchestrating Multiple Personalized Concepts in Text-to-Image Synthesis

Zebin Yao, Fangxiang Feng, Ruifan Li, Xiaojie Wang

AAAI 2025technical

The customization of text-to-image models has seen significant advancements, yet generating multiple personalized concepts remains a challenging task. Current methods struggle with attribute leakage and layout confusion when handling multiple concepts, leading to reduced concept fidelity and semanti…

Cited by 2 Source ↗PDF ↗code ↗Scholar ↗