# Google Research — Small models, big results: Achieving superior intent extraction through decomposition

- Company: Google Research (research.google)
- Announced: 2026-01-22T16:56:44+00:00
- Category: research-paper
- Subject: Research
- Source: https://research.google/blog/small-models-big-results-achieving-superior-intent-extraction-through-decomposition/
- Record: https://forck.live/items/1375-small-models-big-results-achieving-superior-intent-extraction-through

Google Research presents a novel approach for understanding user intents from UI interaction trajectories using small multimodal LLMs. The method decomposes the task into two stages: first summarizing each screen individually, then extracting intent from the summaries. The approach shows results comparable to larger models and is suitable for on-device applications.

## Evidence

Verbatim from https://research.google/blog/small-models-big-results-achieving-superior-intent-extraction-through-decomposition/:

> We present a novel approach to tackle the task of understanding user intents from UI interaction trajectories using small models, which shows better results than significantly larger models.

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Record: https://forck.live/items/1375-small-models-big-results-achieving-superior-intent-extraction-through
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