IntentCUA: Learning Intent-level Representations for Skill Abstraction and Multi-Agent Planning in Computer-Use Agents | ScienceToStartup | ScienceToStartup

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References (28)

[1]

Contextual Experience Replay for Self-Improvement of Language Agents

2025Yitao Liu, Chenglei Si et al.

[2]

A Survey on (M)LLM-Based GUI Agents

2025Fei Tang, Haolei Xu et al.

[3]

UI-TARS: Pioneering Automated GUI Interaction with Native Agents

Founder's Pitch

"IntentCUA enhances desktop automation by using intent-level representations and multi-agent planning for improved skill abstraction and task efficiency."

Agents•Score: 2•View PDF ↗

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IntentCUA: Learning Intent-level Representations for Skill Abstraction and Multi-Agent Planning in Computer-Use Agents

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References (28)

Founder's Pitch

"IntentCUA enhances desktop automation by using intent-level representations and multi-agent planning for improved skill abstraction and task efficiency."

Commercial Viability Breakdown

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Why It Matters

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Disruption

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IntentCUA: Learning Intent-level Representations for Skill Abstraction and Multi-Agent Planning in Computer-Use Agents

BUILDER'S SANDBOX

Build This Paper

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Startup Essentials

References (28)

Founder's Pitch

"IntentCUA enhances desktop automation by using intent-level representations and multi-agent planning for improved skill abstraction and task efficiency."

Commercial Viability Breakdown

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