Papers by Zixu Shen

2 papers
Do We Always Need Query-Level Workflows? Rethinking Agentic Workflow Generation for Multi-Agent Systems (2026.findings-acl)

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Challenge: Existing approaches generate workflows either at task level or query level, but their relative costs and benefits remain unclear.
Approach: They propose a query-level workflow generation framework that generates tasks at task level and query level.
Outcome: The proposed framework reduces token usage by up to 83% compared to existing approaches . it maintains competitive performance with an average degradation of just 0.61% compared with existing approaches across multiple datasets .
PromptSculptor: Multi-Agent Based Text-to-Image Prompt Optimization (2025.emnlp-demos)

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Challenge: PromptSculptor automates the iterative prompt optimization process for Text-to-Image models . previous work focused on generating detailed, high-quality prompts based on user feedback .
Approach: They propose a framework that decomposes a task into four specialized agents . they use Chain-of-Thought reasoning to transform a short, vague user prompt into a comprehensive, refined prompt.
Outcome: The proposed framework significantly improves output quality and reduces iterations needed for user satisfaction.

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