Papers by Shihai Wang

2 papers
Conjecture and Inquiry: Quantifying Software Performance Requirements via Interactive Retrieval-Augmented Preference Elicitation (2026.findings-acl)

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Challenge: Existing methods to quantify software performance requirements are vague and imprecise.
Approach: They propose an approach that quantifies software performance requirements into mathematical functions via interactive retrieval-augmented preference elicitation.
Outcome: The proposed method improves on four real-world cases with up to 40x improvements under as few as five rounds of interactions.
UIOrchestra: Generating High-Fidelity Code from UI Designs with a Multi-agent System (2025.findings-emnlp)

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Challenge: Recent advances in large language models have significantly improved automated code generation . however, the translation of complex mobile UI designs into high-fidelity front-end code remains a challenge .
Approach: They propose a collaborative multi-agent system to reconstruct static single-page apps from mockups.
Outcome: The proposed system outperforms existing methods in reconstructing complex app pages . the code and data will be released upon paper acceptance .

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