LLaVA-1.6-34B · BLINK · Test accuracy · 1,907 test items ↗
Reported model / MODEL EVIDENCE
LLaVA-1.6-34B
2 benchmarks · 2 observations · 2 sources
Scores at a glance
2 benchmarks · large dot: LLaVA-1.6-34B; small dots: closest models where reported
LLaVA-1.6-34B · Needle In A Haystack (NIAH) & MM-NIAH · MM-NIAH overall · all reported lengths ↗
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.
- Needle In A Multimodal Haystack — published result table ↗
All 16 authors
Weiyun Wang, Shuibo Zhang, Yiming Ren, Yuchen Duan, Tiantong Li, Shuo Liu, Mengkang Hu, Zhe Chen, Kaipeng Zhang, Lewei Lu, Xizhou Zhu, Ping Luo, Yu Qiao, Jifeng Dai, Wenqi Shao, Wenhai Wang
- BLINK: Multimodal Large Language Models Can See but Not Perceive — published result table ↗
All 10 authors
Xingyu Fu, Yushi Hu, Bangzheng Li, Yu Feng, Haoyu Wang, Xudong Lin, Dan Roth, Noah A. Smith, Wei-Chiu Ma, Ranjay Krishna
Names used in source tables
LLaVA-1.6-34B