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Guangtao Nie

SIGIR 2026×2KDD 2026检索与知识评测与基准对齐与偏好效率与系统可解释性
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一作贡献40
核心/参与10
方向广度13
合作网络12
1 一作 · 3 篇 · SIGIR 2026 / KDD 2026

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2026 顶会论文

3
作者位次 #4/11SIGIR 2026Poster· Information Retrieval (Industry)

Bridging the Gap: Generative Retrieval via Query-to-Multi-Span Framework for Effective E-commerce Search

Haotian Wang · Yiming Qiu · Xingzhi Yao · Guangtao Nie · Zuxu Chen · Zhenlin He · Songlin Wang · Guoyu Tang · Sulong Xu · Jingwei Zhuo · Mingming Li

摘要

Generative retrieval formulates document retrieval as an identifiergeneration task. While prevailing methods increasingly adopt SemanticIDs (SIDs), their opaque nature and rigid mappings strugglewith the dynamic inventory and strict interpretability requirementsof E-commerce search. Furthermore,...

对齐与偏好评测与基准检索与知识OpenReview
作者位次 #8/10SIGIR 2026Poster· Information Retrieval (Industry)

Query-Attention Dual-Stream Framework with Cross-Category Transfer for Efficient Fine-Grained Interest Pre-Ranking

Haotian Wang · Xujun Liu · Yiming Qiu · Zhenlin He · Enqiang Xu · Yihao Wang · Jinyuan Zhao · Guangtao Nie · Songlin Wang · Mingming Li

摘要

Large-scale search and recommendation systems typically adopt a cascaded architecture of retrieval, pre-ranking, ranking, and re-ranking to balance efficiency and accuracy. However, pre-ranking still faces challenges of behavioral sparsity, limited interest diversity, and computational latency. W...

效率与系统检索与知识可解释性OpenReview
一作KDD 2026Oral· Knowledge Discovery & Data Mining

CEComBench: Benchmarking Large Language Models' performance on Chinese E-commerce tasks

Guangtao Nie · Haotian Wang · Gewei Lu · Tianhao Li

评测与基准检索与知识OpenReview

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