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Chao Zhang

12 papers hereh-index 5585 citations18 works total

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

author position
  • first author2
  • middle author8

Across the 10 of 12 papers where every author was matched, so the position is known.

fields
  • cs.AI4
  • cs.IR4
  • cs.CL3
  • cs.CV1
same name
  • Chao Zhang — 21 papers, h 14
  • Chao Zhang — 13 papers, h 4
  • Chao Zhang — 13 papers, h 4
  • Chao Zhang — 13 papers, h 8
  • Chao Zhang — 11 papers, h 3
  • Chao Zhang — 11 papers, h 1

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
20242026
collaborators
Showing cs.AIShow all

4 papers · 1 filter

cs.AI2026

Empowering Cross-Domain Sequential Recommendation with Hybrid Tokenization and Serial-Parallel Decoding

Yuxuan Hu, Yuhao Wang, Tianbo Huang +4

Cross-domain sequential recommendation (CDSR) aims to model users' dynamic interest transitions and sequential patterns across multiple domains. Recently, generative recommendation…

cs.AI2026

PERMA: Benchmarking Personalized Memory Agents via Event-Driven Preference and Realistic Task Environments

Shuochen Liu, Junyi Zhu, Long Shu +11

Empowering large language models with long-term memory is crucial for building agents that adapt to users' evolving needs. Existing evaluations of this capability typically interle…

cs.AI2025

Look as You Think: Unifying Reasoning and Visual Evidence Attribution for Verifiable Document RAG via Reinforcement Learning

Shuochen Liu, Pengfei Luo, Chao Zhang +6

Aiming to identify precise evidence sources from visual documents, visual evidence attribution for visual document retrieval-augmented generation (VD-RAG) ensures reliable and veri…

cs.AI2025

Xiangqi-R1: Enhancing Spatial Strategic Reasoning in LLMs for Chinese Chess via Reinforcement Learning

Yuhao Chen, Shuochen Liu, Yuanjie Lyu +3

Game playing has long served as a fundamental benchmark for evaluating Artificial General Intelligence. While Large Language Models (LLMs) have demonstrated impressive capabilities…

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