ResearchTrend.AI
  • Communities
  • Connect sessions
  • AI calendar
  • Organizations
  • Join Slack
  • Contact Sales
Papers
Communities
Social Events
Terms and Conditions
Pricing
Contact Sales
Parameter LabParameter LabTwitterGitHubLinkedInBlueskyYoutube

© 2026 ResearchTrend.AI, All rights reserved.

  1. Home
  2. Papers
  3. 2507.18107
  4. Cited By
T2VWorldBench: A Benchmark for Evaluating World Knowledge in Text-to-Video Generation

T2VWorldBench: A Benchmark for Evaluating World Knowledge in Text-to-Video Generation

24 July 2025
Yubin Chen
Xuyang Guo
Zhenmei Shi
Zhao Song
Jiahao Zhang
    VGen
ArXiv (abs)PDFHTMLGithub (3391★)

Papers citing "T2VWorldBench: A Benchmark for Evaluating World Knowledge in Text-to-Video Generation"

6 / 6 papers shown
Envision: Benchmarking Unified Understanding & Generation for Causal World Process Insights
Envision: Benchmarking Unified Understanding & Generation for Causal World Process Insights
Juanxi Tian
Siyuan Li
Conghui He
Lijun Wu
Cheng Tan
EGVMVGen
177
0
0
01 Dec 2025
PhyDetEx: Detecting and Explaining the Physical Plausibility of T2V Models
Zeqing Wang
Keze Wang
Lei Zhang
VGen
149
0
0
01 Dec 2025
VideoVerse: How Far is Your T2V Generator from a World Model?
VideoVerse: How Far is Your T2V Generator from a World Model?
Zeqing Wang
Xinyu Wei
Bairui Li
Zhen Guo
Jinrui Zhang
Hongyang Wei
Keze Wang
Lei Zhang
VGen
328
7
0
09 Oct 2025
Your Vision-Language Model Can't Even Count to 20: Exposing the Failures of VLMs in Compositional Counting
Your Vision-Language Model Can't Even Count to 20: Exposing the Failures of VLMs in Compositional Counting
Xuyang Guo
Zekai Huang
Zhenmei Shi
Zhao Song
Jiahao Zhang
CoGeVLM
287
4
0
06 Oct 2025
Too Easily Fooled? Prompt Injection Breaks LLMs on Frustratingly Simple Multiple-Choice Questions
Too Easily Fooled? Prompt Injection Breaks LLMs on Frustratingly Simple Multiple-Choice Questions
Xuyang Guo
Zekai Huang
Zhao Song
Jiahao Zhang
LRM
144
3
0
16 Aug 2025
Towards High-Order Mean Flow Generative Models: Feasibility, Expressivity, and Provably Efficient Criteria
Towards High-Order Mean Flow Generative Models: Feasibility, Expressivity, and Provably Efficient Criteria
Yang Cao
Yubin Chen
Zhao Song
Jiahao Zhang
177
7
0
09 Aug 2025
1
Page 1 of 1