Papers with human tasks

2 papers
AndroidGen: Building an Android Language Agent under Data Scarcity (2025.acl-long)

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Challenge: Existing LLMs lack high-quality data sources and lack robust data filtration strategies.
Approach: They develop a framework to enhance the capabilities of LLM-based agents under data scarcity.
Outcome: The proposed framework improves the capabilities of LLM-based agents under data scarcity.
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 .

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