Papers by Biao Yin

2 papers
Human Attention Maps for Text Classification: Do Humans and Neural Networks Focus on the Same Words? (2020.acl-main)

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Challenge: Attention-based models have been claimed to add interpretability, but little is known about the actual relationships between machine and human attention.
Approach: They conduct the first quantitative assessment of human versus computational attention mechanisms for the text classification task.
Outcome: The proposed models are compared against machine attention maps on a publicly available YELP dataset.
OS Agents: A Survey on MLLM-based Agents for Computer, Phone and Browser Use (2025.acl-long)

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Challenge: a new generation of (M)LLMs is enabling the creation of superintelligent AI assistants . OS Agents can complete tasks autonomously and have the potential to significantly enhance the lives of billions of users worldwide.
Approach: They propose to build OS Agents that operate within operating systems' GUIs and GUIs . they examine evaluation metrics and benchmarks to identify promising directions .
Outcome: The proposed agents are based on operating systems (OS) and operating systems frameworks.

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