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Kangheng Liang

SIGIR 2026×2多模态检索与知识评测与基准
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一作贡献30
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1 一作 · 2 篇 · SIGIR 2026

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2026 顶会论文

2
作者位次 #3/6SIGIR 2026Poster· Information Retrieval (Short)

ADaFuSE: Adaptive Diffusion-generated Image and Text Fusion for Interactive Text-to-Image Retrieval

Zhuocheng Zhang · Xingwu Zhang · Kangheng Liang · Guanxuan Li · Richard McCreadie · ZIJUN LONG

摘要

Recent advances in interactive text-to-image retrieval (I-TIR) use diffusion models to bridge the modality gap between the textual information need and the images to be searched. However, existing frameworks fuse multi-modal user feedback by simple embedding addition. In this work, we show that t...

多模态评测与基准检索与知识OpenReview
一作SIGIR 2026Poster· Information Retrieval

How Should Multimodal Information Be Chunked for Complex Question Answering?

Kangheng Liang

检索与知识多模态OpenReview

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