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20242026
most citedPersonalAlign: Hierarchical Implicit Intent Alignment for Personalized GUI Agent with Long-Term User-Centric Records

1 citations · 1 across the 3 of their papers we have counts for

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cs.AI20261 cited

PersonalAlign: Hierarchical Implicit Intent Alignment for Personalized GUI Agent with Long-Term User-Centric Records

Yibo Lyu, Gongwei Chen, Rui Shao +2

While GUI agents have shown strong performance under explicit and completion instructions, real-world deployment requires aligning with users' more complex implicit intents. In thi…

cs.AI2026

Optimus-3: Dual-Router Aligned Mixture-of-Experts Agent with Dual-Granularity Reasoning-Aware Policy Optimization

Zaijing Li, Yuquan Xie, Rui Shao +5

Developing generalist agents capable of solving open-ended tasks in visually rich, dynamic environments remains a core pursuit of embodied AI. While Minecraft has emerged as a comp…

cs.AI2025

Mirage-1: Augmenting and Updating GUI Agent with Hierarchical Multimodal Skills

Yuquan Xie, Zaijing Li, Rui Shao +5

Recent efforts to leverage the Multi-modal Large Language Model (MLLM) as GUI agents have yielded promising outcomes. However, these agents still struggle with long-horizon tasks i…

cs.AI2025

GUI-explorer: Autonomous Exploration and Mining of Transition-aware Knowledge for GUI Agent

Bin Xie, Rui Shao, Gongwei Chen +5

GUI automation faces critical challenges in dynamic environments. MLLMs suffer from two key issues: misinterpreting UI components and outdated knowledge. Traditional fine-tuning me…

cs.AI2025

SPA-Bench: A Comprehensive Benchmark for SmartPhone Agent Evaluation

Jingxuan Chen, Derek Yuen, Bin Xie +14

Smartphone agents are increasingly important for helping users control devices efficiently, with (Multimodal) Large Language Model (MLLM)-based approaches emerging as key contender…

cs.AI2025

Optimus-2: Multimodal Minecraft Agent with Goal-Observation-Action Conditioned Policy

Zaijing Li, Yuquan Xie, Rui Shao +3

Building an agent that can mimic human behavior patterns to accomplish various open-world tasks is a long-term goal. To enable agents to effectively learn behavioral patterns acros…