Reported model / MODEL EVIDENCE

LongVA-7B

3 benchmarks · 3 observations · 3 sources · released 2024-06-13

Scores at a glance

3 benchmarks · large dot: LongVA-7B; small dots: closest models where reported

37.975

LongVA-7B · VideoMME · Overall (no subtitles) · % ↗

29.4646.67

LongVA-7B · MindCube · Overall score · % ↗

Closest models by score

Similar positions on shared benchmark leaderboards. Smaller gaps are closer.

There are not enough shared scored settings to identify close comparisons reliably.

Sources

Every plotted observation links to its evaluation. Reported configurations, benchmark versions and task subsets can differ; similarity describes shared scores, not training lift.

  1. Thinking in Space: How Multimodal Large Language Models See, Remember, and Recall Spaces — published result table ↗

    Yang, Jihan, Yang, Shusheng, Gupta, Anjali W., Han, Rilyn, Fei-Fei, Li, Xie, Saining · 2024

  2. MindCube: Spatial Mental Modeling from Limited Views ↗

    Qineng Wang, Baiqiao Yin, Pingyue Zhang, Jianshu Zhang, Kangrui Wang, Zihan Wang et al.

    All 14 authors

    Qineng Wang, Baiqiao Yin, Pingyue Zhang, Jianshu Zhang, Kangrui Wang, Zihan Wang, Jieyu Zhang, Keshigeyan Chandrasegaran, Han Liu, Ranjay Krishna, Saining Xie, Jiajun Wu, Li Fei-Fei, Manling Li

  3. Video-MME: The First-Ever Comprehensive Evaluation Benchmark of Multi-modal LLMs in Video Analysis ↗

    Fu, Chaoyou, Dai, Yuhan, Luo, Yongdong, Li, Lei, Ren, Shuhuai, Zhang, Renrui et al. · 2024

    All 21 authors

    Fu, Chaoyou, Dai, Yuhan, Luo, Yongdong, Li, Lei, Ren, Shuhuai, Zhang, Renrui, Wang, Zihan, Zhou, Chenyu, Shen, Yunhang, Zhang, Mengdan, Chen, Peixian, Li, Yanwei, Lin, Shaohui, Zhao, Sirui, Li, Ke, Xu, Tong, Zheng, Xiawu, Chen, Enhong, Shan, Caifeng, He, Ran, Sun, Xing

Names used in source tables

LongVA-7B