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Jun Zhao

12 papers hereh-index 7407 citations26 works total

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

author position
  • first author2
  • middle author8
  • last author1

Across the 11 of 12 papers where every author was matched, so the position is known.

fields
  • cs.CL3
  • cs.AI2
  • cs.CV2
  • cs.HC1
  • cs.IR1
  • cs.MM1
same name
  • Jun Zhao — 78 papers, h 72
  • Jun Zhao — 58 papers, h 27
  • Jun Zhao — 50 papers, h 13
  • Jun Zhao — 48 papers, h 17
  • Jun Zhao — 34 papers, h 24
  • Jun Zhao — 26 papers, h 15

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
20182026
most citedOpenAgents: An Open Platform for Language Agents in the Wild

11 citations · 23 across the 12 of their papers we have counts for

collaborators
Showing 2026Show all

4 papers · 1 filter

cs.AI2026

FloCA: Towards Faithful and Logically Consistent Flowchart Reasoning

Jinzi Zou, Bolin Wang, Liang Li +3

Flowchart-oriented dialogue (FOD) systems aim to guide users through multi-turn decision-making or operational procedures by following a domain-specific flowchart to achieve a task…

cs.CV2026

Enhancing Image Quality Assessment Ability of LMMs via Retrieval-Augmented Generation

Kang Fu, Huiyu Duan, Zicheng Zhang +5

Large Multimodal Models (LMMs) have recently shown remarkable promise in low-level visual perception tasks, particularly in Image Quality Assessment (IQA), demonstrating strong zer…

cs.IR2026

S2GR: Stepwise Semantic-Guided Reasoning in Latent Space for Generative Recommendation

Zihao Guo, Jian Wang, Ruxin Zhou +6

Generative Recommendation (GR) has emerged as a transformative paradigm with its end-to-end generation advantages. However, existing GR methods primarily focus on direct Semantic I…

cs.SI2026

Segregation Before Polarization: How Recommendation Strategies Shape Echo Chamber Pathways

Junning Zhao, Kazutoshi Sasahara, Yu Chen

Social media platforms facilitate echo chambers through feedback loops between user preferences and recommendation algorithms. While algorithmic homogeneity is well-documented, the…

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