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Di Wu

ACL 2026×2检索与知识多模态对齐与偏好效率与系统推理
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60
一作贡献30
核心/参与5
方向广度10
合作网络6
1 一作 · 2 篇 · ACL 2026

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2026 顶会论文

2
一作ACL 2026Poster· Natural Language Processing

V is R et: Visualization Improves Knowledge-Intensive Text-to-Image Retrieval

Di Wu · Yixin Wan · Kai-Wei Chang

摘要

Text-to-image retrieval (T2I retrieval) remains challenging because cross-modal embeddings often behave as bags of concepts, underrepresenting structured visual relationships such as pose and viewpoint. We proposeVisualize-then-Retrieve (VisRet), a retrieval paradigm that mitigates this limitatio...

检索与知识多模态对齐与偏好OpenReview 项目页
作者位次 #3/6ACL 2026Findings· Findings of ACL

BRIEF -Pro: Universal Context Compression with Short-to-Long Synthesis for Fast and Accurate Multi-Hop Reasoning

Jia-Chen Gu · Junyi Zhang · Di Wu · Yuankai Li · Kai-Wei Chang · Nanyun Peng

摘要

As retrieval-augmented generation (RAG) tackles complex tasks, increasingly expanded contexts offer richer information, but at the cost of higher latency and increased cognitive load on the model. To mitigate this bottleneck, especially for intricate multi-hop questions, we introduce BRIEF-Pro. I...

效率与系统检索与知识推理OpenReview 项目页

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