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pith:AO6BK5V7

pith:2026:AO6BK5V74MJ4CT5CUTUPHZTKEB
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What's Missing in Screen-to-Action? Towards a UI-in-the-Loop Paradigm for Multimodal GUI Reasoning

Biao Yi, Huajun Chen, Songze Li, Tianqi Liu, Wen Zhang, Xiaoke Guo, Zhaoyan Gong, Zhiqiang Liu

Treating GUI reasoning as a cyclic Screen-UI-Action process lets MLLMs explicitly learn element localization, semantics, and usage for more precise and interpretable decisions.

arxiv:2604.06995 v2 · 2026-04-08 · cs.AI

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4 Citations open
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Claims

C1strongest claim

By enabling Multimodal Large Language Models (MLLMs) to explicitly learn the localization, semantic functions, and practical usage of key UI elements, UILoop achieves precise element discovery and performs interpretable reasoning.

C2weakest assumption

That inserting an explicit UI-element learning step into a cyclic Screen-UI-Action process will produce both higher accuracy and better interpretability in MLLMs, without the added structure introducing new failure modes or requiring impractical amounts of supervision.

C3one line summary

UI-in-the-Loop makes multimodal models explicitly learn UI element locations, meanings, and uses in a cyclic screen-element-action loop, delivering better UI comprehension and GUI reasoning on a new 26K-sample benchmark.

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First computed 2026-06-02T01:03:46.790309Z
Builder pith-number-builder-2026-05-17-v1
Signature Pith Ed25519 (pith-v1-2026-05) · public key
Schema pith-number/v1.0

Canonical hash

03bc1576bfe313c14fa2a4e8f3e66a207c3ddae444676165c3d5d5068eb6ca29

Aliases

arxiv: 2604.06995 · arxiv_version: 2604.06995v2 · doi: 10.48550/arxiv.2604.06995 · pith_short_12: AO6BK5V74MJ4 · pith_short_16: AO6BK5V74MJ4CT5C · pith_short_8: AO6BK5V7
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curl -sH 'Accept: application/ld+json' https://pith.science/pith/AO6BK5V74MJ4CT5CUTUPHZTKEB \
  | jq -c '.canonical_record' \
  | python3 -c "import sys,json,hashlib; b=json.dumps(json.loads(sys.stdin.read()), sort_keys=True, separators=(',',':'), ensure_ascii=False).encode(); print(hashlib.sha256(b).hexdigest())"
# expect: 03bc1576bfe313c14fa2a4e8f3e66a207c3ddae444676165c3d5d5068eb6ca29
Canonical record JSON
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    "primary_cat": "cs.AI",
    "submitted_at": "2026-04-08T12:12:09Z",
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