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Zilong Wang

40 papers hereh-index 13825 citations56 works total

Matching runs newest-first, so older work may not be attached to this profile yet.

author position
  • first author5
  • middle author32

Across the 37 of 40 papers where every author was matched, so the position is known.

fields
  • cs.CL17
  • cs.AI10
  • cs.CV3
  • cs.IR3
  • cs.CR2
  • cs.LG2
same name
  • Zilong Wang — 21 papers, h 12
  • Zilong Wang — 20 papers, h 14
  • Zilong Wang — 9 papers, h 16
  • Zilong Wang — 6 papers, h 5
  • Zilong Wang — 6 papers, h 6
  • Zilong Wang — 4 papers, h 6

Either other researchers who publish under this name, or the same person where the external sources have not merged their records.

identity via Semantic Scholar / OpenAlex

activity
20232026
most citedRetrieval Augmented Generation (RAG) and Beyond: A Comprehensive Survey on How to Make your LLMs use External Data More Wisely

13 citations · 44 across the 37 of their papers we have counts for

collaborators
Showing cs.IRShow all

3 papers · 1 filter

cs.IR2023★ 4 cited

Large Language Model based Long-tail Query Rewriting in Taobao Search

Wenjun Peng, Guiyang Li, Yue Jiang +6

In the realm of e-commerce search, the significance of semantic matching cannot be overstated, as it directly impacts both user experience and company revenue. Along this line, que…

cs.IR2023★ 7 cited

Delving into E-Commerce Product Retrieval with Vision-Language Pre-training

Xiaoyang Zheng, Fuyu Lv, Zilong Wang +2

E-commerce search engines comprise a retrieval phase and a ranking phase, where the first one returns a candidate product set given user queries. Recently, vision-language pre-trai…

cs.IR2023★ 11 cited

MAKE: Vision-Language Pre-training based Product Retrieval in Taobao Search

Xiaoyang Zheng, Zilong Wang, Ke Xu +4

Taobao Search consists of two phases: the retrieval phase and the ranking phase. Given a user query, the retrieval phase returns a subset of candidate products for the following ra…

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