Author

David M. Chan

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#artificial intelligence Jun 2026

DigitalCoach: Communication and Grounding Gaps in Human and Agentic Computer Use Coaching

DigitalCoach, a multimodal dataset of 72 human expert-novice computer use coaching sessions consisting of 22,752 dialogue turns grounded in 28.1 hours of screen and input event recordings across five software applications, evaluates whether state-of-the-art models can teach humans how to use computers.

Meng Chen, An-Ya Ji, Tsung-Han Wu et al. · arXiv.org · 0 citations

#computer vision Preprint Aug 2026

CoVA-SFT: A Large-Scale Dataset for Chain of Visual Abstractions

Chain-of-thought (CoT) reasoning has dramatically improved large language models (LLMs) by allowing them to decompose problems into intermediate steps. While CoT is widely effective for linguistic tasks, text-only CoT forces models to serialize visual problems into awkward prose. Although architectural solutions exist...

Tsung-Han Wu, Heekyung Lee, An-Ya Ji et al. · 0 citations