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Wei Chen

ACL 2026×4CVPR 2026×3AAAI 2026CHI 2026ICLR 2026KDD 2026多模态检索与知识推理可解释性效率与系统
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0 一作 · 11 篇 · ACL 2026 / CVPR 2026 / AAAI 2026 / CHI 2026 / ICLR 2026 / KDD 2026

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2026 顶会论文

11
作者位次 #3/4ACL 2026Poster· Natural Language Processing

Attention as Selector: Unlocking VLM Attention for Long Document Page Retrieval

Minfeng Zhu · Linxin Bao · Wei Chen · Linchao Zhu

摘要

Visual Language Models (VLMs) have become a robust foundation for document question answering. Processing long documents remains challenging due to limited context windows and computational budgets. Existing page-level retrieval methods offer a practical solution, typically encoding pages and que...

可解释性多模态检索与知识OpenReview 项目页
作者位次 #8/9ACL 2026Poster· Natural Language Processing

Enabling Agents to Communicate Entirely in Latent Space

Zhuoyun Du · Runze Wang · Huiyu Bai · Zouying Cao · Xiaoyong Zhu · Yu Cheng · Zerui Huang (Taobao &amp · Wei Chen · Haochao Ying

摘要

While natural language is the de facto communication medium for LLM-based agents, it presents a fundamental constraint. The process of downsampling rich, internal latent states into discrete tokens inherently limits the depth and nuance of information that can be transmitted, thereby hindering co...

推理效率与系统可解释性OpenReview 项目页
作者位次 #16/16ACL 2026Poster· Natural Language Processing

IG en B ench: Benchmarking the Reliability of Text-to-Infographic Generation

Yinghao Tang · Xueding Liu · Boyuan Zhang · Tingfeng Lan · Yupeng Xie · Jiale Lao · Yiyao Wang · Haoxuan Li · Tingting Gao · Bo Pan · Luoxuan Weng · Xiuqi Huang · Minfeng Zhu · Yingchaojie Feng · Yuyu Luo · Wei Chen

摘要

Infographics are composite visual artifacts that combine data visualizations with textual and illustrative elements to communicate information. While recent text-to-image (T2I) models can generate aesthetically appealing images, their reliability in generating infographics remains unclear. Genera...

多模态评测与基准检索与知识OpenReview 项目页
作者位次 #5/5ACL 2026Workshop· ACL System Demonstrations

Demonstrating V ivi D oc: Generating Interactive Documents through Human-Agent Collaboration

Yinghao Tang · Yupeng Xie · Yingchaojie Feng · Tingfeng Lan · Wei Chen

摘要

Interactive articles help readers engage with complex ideas through exploration, yet creating them remains costly, requiring both domain expertise and web development skills. Recent LLM-based agents can automate content creation, but naively applying them yields uncontrollable and unverifiable ou...

智能体与工具多模态社会与人本OpenReview 项目页

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