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researcher

Jing Shao

4 papers hereh-index 51.2k citations6 works total

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

author position
  • middle author3
  • last author1

Across the 4 of 4 papers where every author was matched, so the position is known.

fields
  • cs.CV3
  • cs.AI1
same name
  • Jing Shao — 39 papers, h 36
  • Jing Shao — 26 papers, h 12
  • Jing Shao — 19 papers, h 13
  • Jing Shao — 18 papers, h 3
  • Jing Shao — 15 papers, h 3
  • Jing Shao — 13 papers, h 9

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 citedWorldSimBench: Towards Video Generation Models as World Simulators

2 citations · 2 across the 3 of their papers we have counts for

collaborators

4 papers

cs.AI2025

When Autonomy Goes Rogue: Preparing for Risks of Multi-Agent Collusion in Social Systems

Qibing Ren, Sitao Xie, Longxuan Wei +4

Recent large-scale events like election fraud and financial scams have shown how harmful coordinated efforts by human groups can be. With the rise of autonomous AI systems, there i…

cs.CV2025

EndoBench: A Comprehensive Evaluation of Multi-Modal Large Language Models for Endoscopy Analysis

Shengyuan Liu, Boyun Zheng, Wenting Chen +5

Endoscopic procedures are essential for diagnosing and treating internal diseases, and multi-modal large language models (MLLMs) are increasingly applied to assist in endoscopy ana…

cs.CV2024★ 2 cited

WorldSimBench: Towards Video Generation Models as World Simulators

Yiran Qin, Zhelun Shi, Jiwen Yu +10

Recent advancements in predictive models have demonstrated exceptional capabilities in predicting the future state of objects and scenes. However, the lack of categorization based…

cs.CV2024

GenderBias-\emph{VL}: Benchmarking Gender Bias in Vision Language Models via Counterfactual Probing

Yisong Xiao, Aishan Liu, QianJia Cheng +6

Large Vision-Language Models (LVLMs) have been widely adopted in various applications; however, they exhibit significant gender biases. Existing benchmarks primarily evaluate gende…

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