From Images to Tasks: Characterizing Multimodal LLM Interactions in the Wild
3.60T1 sourcearXiv cs.HC
Source record
Published by arXiv cs.HC (T1 source). The original is at https://arxiv.org/abs/2610.00701.
Pipeline notes
The summary and note below are generated by the signal pipeline — they are Beyond Desk’s reading, not quotations from the source.
SummaryAnalysis of 40,000+ image-upload conversations from Microsoft Copilot characterizes real-world multimodal LLM use through a taxonomy of ten capabilities, showing tasks span broader groundings than text-only interactions and that existing benchmarks under-test common generation and cross-modal workflows. Validated on ChatGPT data.
Why it mattersLarge-scale empirical taxonomy of how people actually use multimodal LLMs, with benchmark coverage gaps that matter for anyone designing or evaluating agent workflows.
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