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Tmall Group of Alibaba)

ACL 2026SIGIR 2026检索与知识推理智能体与工具
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62
一作贡献30
核心/参与5
方向广度9
合作网络9
1 一作 · 2 篇 · ACL 2026 / SIGIR 2026

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2026 顶会论文

2
一作ACL 2026Poster· ACL Industry Track

T ao T ype: Predicting Fine-Grained Typing Intent for Faster Search

Tmall Group of Alibaba) · Yichen Yuan · Chengxiao Feng · Xu Liu

摘要

“Is the user’s current query input exactly what they intend to search for?” Our work aims to answer this question by determining, at each typing, whether the current query is complete. If so, a search is implicitly triggered in advance without waiting for user confirmation. This approach reduces...

检索与知识OpenReview 项目页
作者位次 #12/24SIGIR 2026Poster· Information Retrieval (Industry)

RecGPT-Mobile: On-Device Large Language Models for User Intent Understanding in Taobao Feed Recommendation

Bin Zhang (Taobao &amp · Weipeng Huang (Taobao &amp · Weipeng Huang (Taobao &amp · Tmall Group of Alibaba) · Yuning Jiang (Taobao &amp · Zhaode Wang (Taobao &amp · Tmall Group of Alibaba) · Tmall Group of Alibaba) · Yuning Jiang (Taobao &amp · Tmall Group of Alibaba) · Zhaode Wang (Taobao &amp · Tmall Group of Alibaba) · Chengfei Lv (Taobao &amp · Shengjie Sun (Taobao &amp · Tmall Group of Alibaba) · Shengjie Sun (Taobao &amp · Qichao Ma (Taobao &amp · Shengjie Sun (Taobao &amp · Tmall Group of Alibaba) · Shengjie Sun (Taobao &amp · Junqing Wu (Taobao &amp · Shengjie Sun (Taobao &amp · Tmall Group of Alibaba) · Shengjie Sun (Taobao &amp

摘要

Predicting a user's next search query from recent interaction behaviors is a critical problem in modern e-commerce systems, particularly in scenarios where user intent evolves rapidly. Large Language Models (LLMs) offer strong semantic reasoning capabilities and have recently been adopted to enha...

检索与知识推理智能体与工具OpenReview

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