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Lizhu Zhang

26 papers hereh-index 7167 citations25 works total

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

author position
  • middle author21
  • last author3

Across the 24 of 26 papers where every author was matched, so the position is known.

fields
  • cs.CL10
  • cs.LG6
  • cs.IR4
  • cs.AI3
  • cs.CV2
  • math.CV1
same name
  • Lizhu Zhang — 1 paper
  • Lizhu Zhang — 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

most citedBeyond Reward Hacking: Causal Rewards for Large Language Model Alignment

1 citations · 1 across the 21 of their papers we have counts for

collaborators
Showing cs.IRShow all

4 papers · 1 filter

cs.IR2026

ConnectionMind: Leveraging Social Networks and Large Language Models for Personalized Recommendation at Meta

Haoyu Han, Yuming Liu, Lei Huang +3

Modern recommendation systems on social media platforms such as Meta must model complex social relationships, including friendships, group memberships, and creator interactions, al…

cs.IR2026

NEXT: Reasoning-Driven Video Recommendation via a Vision-Language Model

Yuming Liu, Hongye Yang, Harrison Zhao +5

We present NEXT (Next-interest EXploration Transformer), a reasoning-driven video recommendation framework that reasons over the video a user has just watched, infers the viewer's…

cs.IR2026

Efficient Sequential Recommendation for Long Term User Interest Via Personalization

Qiang Zhang, Hanchao Yu, Ivan Ji +14

Recent years have witnessed success of sequential modeling, generative recommender, and large language model for recommendation. Though the scaling law has been validated for seque…

cs.IR2025

RecoWorld: Building Simulated Environments for Agentic Recommender Systems

Fei Liu, Xinyu Lin, Hanchao Yu +12

We present RecoWorld, a blueprint for building simulated environments tailored to agentic recommender systems. Such environments give agents a proper training space where they can…

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Not affiliated with arXiv. Researcher data from Semantic Scholar (ODC-BY) and OpenAlex.