Papers by Tengfei Luo

2 papers
D-Artemis: A Deliberative Cognitive Framework for Mobile GUI Multi-Agents (2026.findings-acl)

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Challenge: Graphical User Interface (GUI) agents aim to automate a wide spectrum of human tasks by emulating user interaction.
Approach: They propose a deliberative framework that leverages a fine-grained tip retrieval mechanism to inform its decision-making process.
Outcome: The proposed framework achieves SOTA among open-source general models on AndroidWorld and ScreenSpot-V2 . it leverages a fine-grained, app-specific tip retrieval mechanism to inform its decision-making process .
Quest2DataAgent: Automating End-to-End Scientific Data Collection (2025.emnlp-demos)

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Challenge: Existing approaches for data collection are labor-intensive and dependent on domain expertise.
Approach: They propose a general-purpose multi-agent framework for automating scientific data collection workflows.
Outcome: The proposed framework improves data relevance, usability, and time efficiency over existing methods.

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