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Visual Question Answering on HRBench-4K

0.7925Accuracy

FOCUS

Updated 4d ago

Evaluation Results

Method	Links
FOCUS 2025.06		0.7925
Thyme-7B 2026.02		0.783
ViLAVT-7B 2026.02		0.755
DeepEyes-7B 2026.02		0.751
UG-Search 2025.10		0.749
Baseline (No Recompute) 2026.03		0.7488
Pixel-Reasoner-7B 2026.02		0.729
No Recompute 2026.03		0.7275
InfoFlow KV 2026.03		0.7263
EPIC 2026.03		0.725
CacheBlend 2026.03		0.7238
Qwen-2.5-VL 2025.06		0.7162
HART-7B 2026.02		0.711
InternVL3-8B 2026.02		0.708
InternVL3-7B 2026.02		0.708
Qwen2.5-VL-7B 2026.02		0.701
UG-Search 2025.10		0.701
Qwen2.5-VL-7B 2026.02		0.698
InfoFlow KV 2026.03		0.6913
No Recompute 2026.03		0.6888
CacheBlend 2026.03		0.6863
ZoomEye 2025.10		0.684
Qwen2.5-VL-7B 2026.02		0.678
Qwen 2.5 VL 2025.11		0.6775
EPIC 2026.03		0.6725
Thyme 2025.10		0.666
CropVLM 2025.11		0.6638
CropVLM 2025.11		0.6575
CropVLM 2025.11		0.6513
LLaVA-OV-7B 2025.10		0.649
CropVLM 2025.11		0.6475
CropVLM 2025.11		0.6475
LLaVA-OneVision-7B 2026.02		0.643
LLaVA-OneVision-7B 2026.02		0.643
ViCrop 2025.10		0.633
TextCoT 2025.10		0.606
VILASR-7B 2026.02		0.605
Qwen2.5-VL-7B 2025.10		0.601
SpaceR-7B 2026.02		0.581
MRoPE 2026.03		0.545
MRoPE-I 2026.03		0.5212
Qwen 2.5 VL 3B 2025.11		0.5188
MRoPE-I 2026.03		0.5162
Vanilla RoPE 2026.03		0.51
Vanilla RoPE 2026.03		0.5075
MRoPE 2026.03		0.4763
CropVLM 2025.11		0.4388
CropVLM 2025.11		0.4313
CropVLM 2025.11		0.4138
CropVLM 2025.11		0.4138
CropVLM 2025.11		0.3988
GPT 4.1 nano 2025.11		0.3875
CropVLM 2025.11		0.3863
LLaVA 1.5 7B 2025.11		0.3525