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ResearchFormerly WizWand

Image-centric Multimodal Understanding on SEED-I

76.3ScoreNEO
28.77241.11153.4565.789Oct 16, 2025
Updated 8mo ago

Evaluation results

MethodLinks
NEOLLM=Qwen3-8B, # Data=345M / 40M / 4M, Model Scale=8B, Architecture Category=Native, Reinforcement Learning=false2025.1076.3
Encoder-BasedLLM=Qwen3-8B, # Data=>6B / 40M / 4M, Model Scale=8B, Architecture Category=Modular, Reinforcement Learning=false2025.1076.2
NEOLLM=Qwen3-1.7B, # Data=345M / 40M / 4M, Model Scale=2B, Architecture Category=Native, Reinforcement Learning=false2025.1074.2
Encoder-BasedLLM=Qwen3-1.7B, # Data=>6B / 40M / 4M, Model Scale=2B, Architecture Category=Modular, Reinforcement Learning=false2025.1073.6
SAILLLM=Mistral-7B, # Data=512M / 86M / 6M, Model Scale=8B, Architecture Category=Native, Reinforcement Learning=false2025.1072.9
EVEv2LLM=Qwen2.5-7B, # Data=77M / 15M / 7M, Model Scale=8B, Architecture Category=Native, Reinforcement Learning=false2025.1071.4
HoVLELLM=InternLM2-1.8B, # Data=550M / 50M / 7M, Model Scale=2B, Architecture Category=Native, Reinforcement Learning=false2025.1070.9
OneCATLLM=Qwen2.5-1.5B, # Data=436M / 70M / 13M, Model Scale=2B, Architecture Category=Native, Reinforcement Learning=false2025.1070.9
VoRALLM=Qwen2.5-7B, # Data=30M / 0M / 0.6M, Model Scale=8B, Architecture Category=Native, Reinforcement Learning=false2025.1068.9
Emu3LLM=from scratch, # Data=- / - / -, Model Scale=8B, Architecture Category=Native, Reinforcement Learning=false2025.1068.2
Mono-InternVLLLM=InternLM2-1.8B, # Data=1.2B / 143M / 7M, Model Scale=2B, Architecture Category=Native, Reinforcement Learning=false2025.1067.4
Mono-InternVL-1.5LLM=InternLM2-1.8B, # Data=400M / 150M / 7M, Model Scale=2B, Architecture Category=Native, Reinforcement Learning=false2025.1066.9
EVELLM=Vicuna-7B, # Data=33M / 0M / 1.8M, Model Scale=8B, Architecture Category=Native, Reinforcement Learning=false2025.1064.6
SOLOLLM=Mistral-7B, # Data=44M / 0M / 2M, Model Scale=8B, Architecture Category=Native, Reinforcement Learning=false2025.1064.4
FuyuLLM=Persimmon-8B, # Data=- / - / -, Model Scale=8B, Architecture Category=Native, Reinforcement Learning=false2025.1059.3
ChameleonLLM=from scratch, # Data=1.4B / 0M / 1.8M, Model Scale=8B, Architecture Category=Native, Reinforcement Learning=false2025.1030.6