Papers by Xingmao Zhang

2 papers
CMIG: Conceptual Metaphor Theory-Inspired Framework for Metaphorical Image Generation (2026.findings-acl)

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Challenge: Existing text-to-image systems often produce visually plausible but semantically literal outputs.
Approach: They propose a structured prompting framework inspired by Conceptual Metaphor Theory . they propose to identify source–target mappings, filter projectable source attributes and select a visual realization strategy in a reproducible reasoning workflow.
Outcome: The proposed framework improves semantic alignment and controllability on metaphor prompts.
DAGS: A Dependency-Based Dual-Attention and Global Semantic Improvement Framework for Metaphor Recognition (2025.findings-acl)

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Challenge: Existing methods for metaphor recognition ignore interference caused by literal annotations . et al., 2018: Metaphor recognition plays an important role in cognition and communication .
Approach: They propose a dependency-based Dual-Attention and Global Semantic Improvement framework to improve metaphor recognition.
Outcome: The proposed framework can extract features from multiple information sources while improving on mainstream metaphor datasets.

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