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Wenyue Hua

40 papers hereh-index 262.6k citations62 works total

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

author position
  • first author8
  • middle author28
  • last author1

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

fields
  • cs.CL19
  • cs.IR6
  • cs.AI5
  • cs.HC2
  • cs.LG2
  • cs.CR1
same name
  • Wenyue Hua — 19 papers, h 7
  • Wenyue Hua — 9 papers, h 4
  • Wenyue Hua — 1 paper

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
20212026
most citedOpenAGI: When LLM Meets Domain Experts

76 citations · 293 across the 38 of their papers we have counts for

collaborators
Showing 2023 · cs.IRShow all

4 papers · 2 filters

cs.IR2023★ 6 cited

GenRec: Large Language Model for Generative Recommendation

Jianchao Ji, Zelong Li, Shuyuan Xu +4

In recent years, large language models (LLM) have emerged as powerful tools for diverse natural language processing tasks. However, their potential for recommender systems under th…

cs.IR2023★ 7 cited

OpenP5: An Open-Source Platform for Developing, Training, and Evaluating LLM-based Recommender Systems

Shuyuan Xu, Wenyue Hua, Yongfeng Zhang

In recent years, the integration of Large Language Models (LLMs) into recommender systems has garnered interest among both practitioners and researchers. Despite this interest, the…

cs.IR2023★ 7 cited

UP5: Unbiased Foundation Model for Fairness-aware Recommendation

Wenyue Hua, Yingqiang Ge, Shuyuan Xu +2

Recent advances in Foundation Models such as Large Language Models (LLMs) have propelled them to the forefront of Recommender Systems (RS). Despite their utility, there is a growin…

cs.IR2023★ 58 cited

How to Index Item IDs for Recommendation Foundation Models

Wenyue Hua, Shuyuan Xu, Yingqiang Ge +1

Recommendation foundation model utilizes large language models (LLM) for recommendation by converting recommendation tasks into natural language tasks. It enables generative recomm…

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