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Qingbao Huang

ACL 2026×2AAAI 2026多模态推理评测与基准可解释性检索与知识
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一作贡献30
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合作网络12
1 一作 · 3 篇 · ACL 2026 / AAAI 2026

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2026 顶会论文

3
一作ACL 2026Findings· Findings of ACL

CMIG : Conceptual Metaphor Theory-Inspired Framework for Metaphorical Image Generation

Qingbao Huang · Cheng Yang · Jiawei Yao · Zhiyue Liu · Yi Cai · Xingmao Zhang

摘要

Metaphorical text expresses meaning through cross-domain mappings rather than literal surface content, which makes it difficult for text-to-image systems to generate semantically faithful images. We propose CMIG, a structured prompting framework inspired by Conceptual Metaphor Theory (CMT). CMIG...

多模态评测与基准推理OpenReview 项目页
作者位次 #4/5ACL 2026Findings· Findings of ACL

Unlocking Human-Like Visible Logic: How Logic Diagrams Boost Logic Reasoning in Large Language Models?

Xin Wu · Yuqi Bu · Mengchen Zhao · Qingbao Huang · Yi Cai

摘要

Recent advancements in large language models (LLMs) have demonstrated their remarkable capabilities in natural language understanding and generation. However, these models still struggle with formal logical reasoning, often producing coherent yet invalid conclusions due to limitations in represen...

多模态推理可解释性OpenReview 项目页

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